💧 Hydraulics & Fluid Mechanics 🔥 Day 1
0/18 topics mastered

Hydraulics & Fluid Mechanics — Hydraulics

Ready to test your Hydraulics & Fluid Mechanics knowledge? Practice chapter-wise mock tests with worked step-by-step solutions for GATE, ESE and SSC JE.
Launch Mock Tests
🎯
Hydraulics & Fluid Mechanics — Complete Study Notes
16 chapters · GATE, ESE (IES), SSC JE, State PSC, RRB JE
○ Not Started

Hydraulics and Fluid Mechanics is the study of fluids at rest and in motion — from basic fluid properties and pressure measurement, through hydrostatic forces, buoyancy, kinematics and Bernoulli's equation, to viscous and turbulent pipe flow, drag/lift, boundary layer theory, dimensional analysis, weirs, turbines, pumps and open channel flow. Every formula, coefficient value, diagram, solved example and exam-pattern table is included.

Learning Objectives

After studying this chapter you will be able to:

  • Apply Newton's law of viscosity, classify Newtonian/non-Newtonian fluids, and compute surface tension and capillarity effects
  • Solve manometer problems and compute hydrostatic forces (and centre of pressure) on plane and curved submerged surfaces
  • Apply Archimedes' principle and compute the metacentric height to assess the stability of floating bodies
  • Classify flow types, apply the continuity equation, and use stream functions/velocity potential for 2D flow analysis
  • Apply Bernoulli's equation and the momentum equation to flow-measuring devices (Venturimeter, orifice, Pitot tube) and pipe bends
  • Analyse laminar (Hagen-Poiseuille), turbulent, and boundary-layer flow, and compute pipe friction and minor losses (Darcy-Weisbach)
  • Apply dimensional analysis (Buckingham π theorem) and similarity laws (Froude, Reynolds, Mach) to model studies
  • Design and analyse notches/weirs, impulse/reaction turbines, pumps, and uniform/non-uniform open channel flow including the hydraulic jump

Exam Relevance

ESE★★★★★
GATE★★★★★
SSC JE★★★★★
State PSC★★★★☆
💡 Hydraulics is one of the highest-weightage subjects in GATE Civil and ESE — Bernoulli's equation, Darcy-Weisbach pipe flow, dimensional analysis, notches/weirs, turbines and Manning's open channel formula appear nearly every year, often across multiple questions.

Concept Map

Fluid Properties → Manometry → Hydrostatic Forces → Buoyancy & Floatation
↓
Fluid Kinematics → Fluid Dynamics & Flow Measurement
↓
Viscous Flow ↔ Pipe Flow ↔ Drag & Lift ↔ Boundary Layer ↔ Turbulent Flow
↓
Dimensional Analysis → Weirs → Turbines & Pumps → Open Channel Flow

Where This Fits

Prerequisite: Foundation Engineering (seepage, dam spillway and drainage design concepts introduced there rely on the flow, pressure and open-channel principles developed here). Leads to: Engineering Hydrology, which applies these flow-measurement and open-channel principles to rainfall-runoff and river hydraulics.

💧
1. Fluid Properties
Viscosity · Compressibility · Surface Tension · Cavitation
○ Not Started

1.1 Definition and Classification

A fluid is a substance that deforms continuously under the application of any shear stress, however small. Unlike a solid (which deforms by a fixed amount), a fluid flows — velocity continues to increase as long as shear stress is applied.

Property Symbol Definition SI Unit Water (20°C) Air (20°C)
Density ρ Mass per unit volume = m/V kg/m³ 998 1.204
Specific weight γ Weight per unit volume = ρg N/m³ 9789 11.8
Specific gravity S or G ρ_fluid / ρ_water dimensionless 1.0 0.0012
Dynamic viscosity μ \(\tau = \mu\,\dfrac{du}{dy}\); resistance to shear Pa·s (N·s/m²) 1.002×10⁻³ 1.81×10⁻⁵
Kinematic viscosity ν μ/ρ; momentum diffusivity m²/s (Stoke = 10⁻⁴ m²/s) 1.004×10⁻⁶ 1.51×10⁻⁵
Bulk modulus K \(K = -V\,\dfrac{dP}{dV} = \rho\,\dfrac{dP}{d}\rho\) N/m² (Pa) 2.18×10⁹ —
Surface tension σ Force per unit length at free surface N/m 0.0728 —
Vapour pressure p_v Pressure at which liquid boils Pa (kPa) 2.34 kPa —

1.2 Newton's Law of Viscosity

Newtonian fluids (water, air, most oils) follow a linear relationship between shear stress and velocity gradient — viscosity μ is constant regardless of the rate of shear. Non-Newtonian fluids do not: the power-law model captures pseudoplastic (shear-thinning) fluids like paint and blood (\(n <1\)) and dilatant (shear-thickening) fluids like cornstarch suspensions and wet sand (\(n>1\)); a Bingham plastic (toothpaste, sewage sludge) additionally requires a minimum yield stress before it will flow at all.

1.3 Viscosity — Temperature Dependence

In liquids, viscosity decreases with rising temperature, since intermolecular cohesive forces (the dominant resistance mechanism) weaken as molecules gain thermal energy (Andrade's equation). In gases, viscosity increases with rising temperature, since the dominant resistance mechanism is momentum transfer between faster-moving molecules, which intensifies with temperature (Sutherland's law) — the opposite trend to liquids, and a frequently tested contrast.

1.4 Compressibility and Bulk Modulus

The bulk modulus \(K\) measures a fluid's resistance to uniform compression; its reciprocal is the compressibility \(\beta\). The speed of sound in a fluid depends directly on \(K\) and inversely on density, giving roughly 1480 m/s in water and 343 m/s in air. The Mach number (velocity relative to the speed of sound) below about 0.3 justifies treating a compressible fluid (like air) as effectively incompressible for most engineering flow calculations.

1.5 Surface Tension and Capillarity

Surface tension creates a pressure jump across any curved liquid interface — a droplet has one curved surface pair (giving \(4\dfrac{\sigma}{d}\)), a soap bubble has two films (giving \(8\dfrac{\sigma}{d}\)), and a liquid jet has just one surface (giving \(2\dfrac{\sigma}{d}\)). Capillary rise or depression in a narrow tube depends on the contact angle: water wets glass (\(\theta\approx0°\), giving a rise), while mercury does not wet glass (\(\theta\approx140°\), giving a depression).

1.6 Cavitation

Cavitation occurs when local pressure in a flowing liquid falls below the vapour pressure, causing vapour bubbles to form; when these bubbles subsequently collapse in a higher-pressure zone, they generate shock waves that cause erosion, noise, and vibration in hydraulic machinery (pump impellers, turbine runners, control valves). Prevention relies on maintaining sufficient Net Positive Suction Head (NPSH) at critical locations such as a pump inlet.

💡 ΔP inside a droplet = 4σ/d; bubble = 8σ/d; jet = 2σ/d. Capillary rise h = 4σcosθ/(ρgd). Liquids: μ decreases with T; gases: μ increases with T. Newton's law τ = μ(du/dy) is the single most tested definition in this chapter.

Newton's Law of Viscosity

\( \tau = \mu\,\dfrac{du}{dy} \)

Power law (non-Newtonian): \( \tau = K\left(\dfrac{du}{dy}\right)^n \)

\(n<1\): pseudoplastic; \(n>1\): dilatant; \(n=1\): Newtonian

Bingham plastic: \( \tau = \tau_0 + \mu_B\dfrac{du}{dy} \)

Temperature Dependence

Liquids (Andrade): \( \mu(T) \approx A\,e^{B/T} \) (decreases with T)

Gases (Sutherland): \( \mu(T) \propto T^{0.5\text{–}0.75} \) (increases with T)

Compressibility

Bulk modulus: \( K = -\dfrac{dP}{dV/V} = \rho\dfrac{dP}{d\rho} \),   \(\beta = \dfrac{1}{K}\)

Speed of sound: \( c = \sqrt{\dfrac{K}{\rho}} \) (water ≈ 1480 m/s; air ≈ 343 m/s)

Mach number: \( Ma = \dfrac{V}{c} \); \(Ma<0.3\) → incompressible assumption valid

Surface Tension & Capillarity

Droplet: \( \Delta P = 4\dfrac{\sigma}{d} \)   Bubble: \( \Delta P = 8\dfrac{\sigma}{d} \)   Jet: \( \Delta P = 2\dfrac{\sigma}{d} \)

Capillary rise: \( h = \dfrac{4\sigma\cos\theta}{\rho g d} \)

Water-glass: \(\theta\approx0°\) (rise); Mercury-glass: \(\theta\approx140°\) (depression)

Cavitation

Cavitation number: \( \sigma_c = \dfrac{p_{atm}-p_v}{\tfrac12\rho V^2} \)

Cavitation occurs when \(\sigma_c\) falls below a critical value for the geometry.

Example 1 — Newton's Law of Viscosity

Given: A fluid layer between two plates 2 mm apart has the top plate moving at 1.5 m/s. If \(\mu = 0.9\ \text{Pa·s}\), find the shear stress (assuming a linear velocity profile).

Solution:

\( \dfrac{du}{dy} = \dfrac{1.5}{0.002} = 750\ \text{s}^{-1} \)

\( \tau = 0.9\times750 = 675\ \text{Pa} \)

Answer: \(\tau = 675\ \text{Pa}\).

Example 2 — Capillary Rise

Given: A glass tube of diameter 1 mm is dipped in water (\(\sigma=0.0728\ \text{N/m}\), \(\theta\approx0°\)). Find the capillary rise.

Solution:

\( h = \dfrac{4\times0.0728\times\cos0°}{998\times9.81\times0.001} = \dfrac{0.2912}{9.79} \approx 0.0297\ \text{m} \)

Answer: \(h\approx29.7\ \text{mm}\).

Example 3 — Pressure Inside a Soap Bubble

Given: A soap bubble of diameter 4 mm has surface tension \(\sigma=0.025\ \text{N/m}\). Find the excess internal pressure.

Solution:

\( \Delta P = 8\dfrac{\sigma}{d} = 8\dfrac{\times0.025}{0.004} = \dfrac{0.2}{0.004} = 50\ \text{Pa} \)

Answer: \(\Delta P = 50\ \text{Pa}\).

Shear stress vs. rate of shear for various fluid types du/dy (rate of shear) Shear stress τ Newtonian Pseudoplastic (n<1) Dilatant (n>1) Bingham plastic (τ₀ intercept) τ₀

Fig. 1.1 — Shear stress vs. rate of shear (rheological classification): Newtonian fluids give a straight line through the origin; pseudoplastic and dilatant fluids curve; Bingham plastics require a yield stress τ₀ before flowing.

Q1. As temperature increases, the viscosity of a liquid:
In liquids, intermolecular cohesive forces (the dominant resistance to shear) weaken with rising temperature, so viscosity decreases — opposite to the trend in gases.
Q2. The pressure jump across a soap bubble of diameter d is:
A soap bubble has two liquid-air interfaces (an inner and outer film), doubling the pressure jump compared to a droplet (4σ/d), giving 8σ/d.
Q3. A fluid whose shear stress requires a minimum yield stress before it begins to flow is called:
A Bingham plastic (e.g. toothpaste, sewage sludge) behaves as a rigid solid until the shear stress exceeds a yield stress τ0, after which it flows linearly.
📏
2. Manometry
Pascal's Law · Manometer Types · Calculation Procedure · Pressure Prism
○ Not Started

2.1 Pressure and Pascal's Law

Pressure at any point in a static fluid increases linearly with depth, governed by the hydrostatic pressure equation. Pascal's Law states that pressure applied to an enclosed fluid is transmitted equally and undiminished in all directions — the principle behind the hydraulic jack, where a small force on a small piston produces a large force on a large piston in proportion to the area ratio.

2.2 Types of Manometers

Type Principle Range / Use
Simple U-tube Heavy gauge fluid (mercury) balances pressure; read height difference Moderate pressures; most common
Inverted U-tube Light gauge fluid (air or oil) at top; for measuring small differential pressures in liquids Small pressure differences in water/oil pipes
Inclined manometer Limb inclined at angle θ; amplifies reading by 1/sinθ Very small pressures; wind tunnel tests
Micro-manometer Large reservoir + narrow tube; small pressure differences Extremely small ΔP; laboratory
Differential manometer Connects two pressure points; measures difference directly Across orifices, valves, Venturi meters
Bourdon gauge Coiled metal tube deforms under pressure; mechanical indicator Industrial; wide pressure range

2.3 Manometer Calculation Procedure

The standard procedure: start from one point, add \(\rho gh\) for every step going down, and subtract \(\rho gh\) for every step going up; the algebraic sum between two points gives the pressure difference between them. For gas pressure measurement, the weight of the gas column itself is negligible compared to the gauge liquid, so only the mercury (or other gauge fluid) column need be considered.

2.4 Pressure Prism and Hydrostatic Paradox

Pressure at any point depends only on the depth below the free surface and the fluid density — not on the shape or total volume of the container. This is the hydrostatic paradox: a tall narrow tube and a wide, flat, open container filled to the same depth exert identical pressure at the base, despite holding vastly different volumes of fluid.

💡 p = ρgh (gauge pressure at depth h). S_Hg = 13.6. 1 atm = 101.325 kPa = 760 mm Hg = 10.33 m water. Manometer rule: add pressure going down, subtract going up. For a differential manometer: p_A − p_B = (ρ_gauge − ρ_fluid)gh.

Pascal's Law & Hydrostatic Pressure

Pressure: \( p = F/A \) (Pa); \( 1\ \text{bar}=10^5\ \text{Pa} \); \( 1\ \text{atm}=101.325\ \text{kPa} \)

Hydrostatic equation: \( \dfrac{dp}{dz} = -\rho g \)

Pressure at depth h: \( p = p_0 + \rho gh \)

Hydraulic jack: \( F_1/A_1 = F_2/A_2 \)

Manometer Calculation

Simple U-tube (points A, B; gauge fluid \(\rho_m\), pipe fluid \(\rho_f\)):

\( p_A - p_B = \rho_m g h_m - \rho_f g(z_A-z_B) \)

Gas pressure (gauge = mercury, gas weight negligible): \( p_A = \rho_{Hg}\,g\,h \)

Reference Values

Atmospheric pressure: \( 101.325\ \text{kPa} = 10.33\ \text{m water} = 760\ \text{mm Hg} \)

\( \gamma_{water}\approx9.81\ \text{kN/m}^3 \) (9.79 at 20°C)

\( \gamma_{mercury}=133.4\ \text{kN/m}^3 \) (\(S_{Hg}=13.6\))

Example 1 — Simple U-tube Manometer

Given: A U-tube manometer measures the pressure of water in a pipe using mercury as the gauge fluid. The mercury level difference is 250 mm, and both limbs are at the same elevation as the pipe centreline. Find the gauge pressure in the pipe.

Solution:

\( p_A = \rho_{Hg}\,g\,h_m = 13600\times9.81\times0.25 = 33{,}354\ \text{Pa} \)

Answer: \(p_A\approx33.35\ \text{kPa}\).

Example 2 — Hydraulic Jack Mechanical Advantage

Given: A hydraulic jack has a small piston of diameter 20 mm and a large piston of diameter 200 mm. Find the force on the large piston for a 100 N force on the small piston.

Solution:

\( F_2 = F_1\times(A_2/A_1) = 100\times(\dfrac{200}{20})^2 = 100\times100 = 10{,}000\ \text{N} \)

Answer: \(F_2 = 10\ \text{kN}\) — a 100:1 mechanical advantage from the area ratio.

Example 3 — Inclined Manometer Amplification

Given: An inclined manometer tube is set at 15° to the horizontal. Find the amplification factor for the reading compared to a vertical tube for the same pressure.

Solution:

Amplification \(=1/\sin\theta = 1/\sin15° = \dfrac{1}{0.2588} \approx 3.86\)

Answer: The inclined reading is about 3.86 times longer than an equivalent vertical reading — improving readability for small pressures.

Simple U-tube manometer Pipe (fluid A) h_m Mercury (gauge fluid)

Fig. 2.1 — Simple U-tube manometer: mercury column height difference h_m balances the pipe fluid pressure; add ρgh going down, subtract going up.

Q1. When calculating pressure using a manometer, moving downward through a fluid column, you should:
Pressure increases with depth, so moving downward through a fluid column adds ρgh to the running total; moving upward subtracts it.
Q2. The specific gravity of mercury, used in most manometry calculations, is:
Mercury's specific gravity of 13.6 (density ≈13,600 kg/m³) is why it is used as a gauge fluid — it gives a manageable column height for typical engineering pressures.
Q3. The hydrostatic paradox states that pressure at a given depth:
A tall narrow tube and a wide flat container filled to the same depth exert identical pressure at the base, regardless of the very different volumes of fluid each holds.
🌊
3. Hydrostatic Forces on Surfaces
Plane Surfaces · Curved Surfaces · Centre of Pressure · Dams
○ Not Started

3.1 Force on a Plane Submerged Surface

The total hydrostatic force on a submerged plane surface depends only on the depth of the centroid below the free surface and the total area — not on the shape's orientation directly. However, the force does not act at the centroid; it acts at the centre of pressure (CP), which always lies below the centroid because pressure increases with depth (the lower portion of the surface experiences higher pressure and therefore a proportionally greater share of the total force). As submergence depth increases, the CP moves progressively closer to the centroid, since the relative variation in pressure across the surface becomes smaller.

3.2 Force on a Curved Submerged Surface

A curved surface is analysed by resolving the resultant hydrostatic force into horizontal and vertical components. The horizontal component equals the force on the vertical projection of the curved surface (computed exactly as for a plane surface). The vertical component equals the weight of the (real or imaginary) volume of fluid directly above the curved surface, and acts through the centroid of that volume. The two components combine vectorially to give the resultant force and its direction.

3.3 Pressure on Dams and Lock Gates

For a rectangular dam retaining water of depth H, the hydrostatic pressure distribution is triangular, so the resultant force acts at \(\dfrac{H}{3}\) above the base (the centroid of the triangle). This total force, multiplied by its lever arm, gives the overturning moment about the toe, which must be resisted by the moment of the dam's self-weight about the same point, with an appropriate factor of safety.

💡 F = ρgȳA. CP: y_cp = ȳ + I_G/(ȳA). For a rectangle: I_G = bd³/12. Curved surface: F_H = force on the vertical projection; F_V = weight of fluid above. CP is always below the centroid — and moves toward the centroid as submergence depth increases.

Force on a Plane Surface

\( F = \rho g\,\bar y\,A \)

\(\bar y\) = depth of centroid below free surface; \(A\) = area

Centre of pressure: \( y_{cp} = \bar y + \dfrac{I_G}{\bar y A} \)   (always \(y_{cp}>\bar y\))

Inclined surface: same \(F\) formula (\(\bar y\)=vertical depth of centroid)

Second Moment of Area \(I_G\)

Rectangle (\(b\times d\)): \( I_G = \dfrac{bd^3}{12} \)

Triangle (\(b,h\)): \( I_G = \dfrac{bh^3}{36} \)

Circle (dia. \(D\)): \( I_G = \pi \dfrac{D^4}{64} \)

Force on a Curved Surface

Horizontal: \( F_H = \rho g\,\bar y_{proj}\,A_{proj} \) (acts at CP of projected area)

Vertical: \( F_V = \rho g\times(\text{volume of fluid above}) \) (acts at centroid of that volume)

Resultant: \( F_R = \sqrt{F_H^2+F_V^2} \),   \( \tan\theta = F_V/F_H \)

Dams and Lock Gates

Total force (rectangular dam, width \(b\)): \( F = \tfrac12\rho g H^2 b \), acting at \(\dfrac{H}{3}\) from base

Overturning moment: \( M_O = F\times \dfrac{H}{3} \)

FOS against overturning: \( FOS = \dfrac{M_{resisting}}{M_O} \ge 1.5 \)

Example 1 — Force and Centre of Pressure on a Vertical Rectangular Gate

Given: A vertical rectangular gate 2 m wide, 3 m deep, has its top edge at the water surface. Find the total force and the depth of the centre of pressure.

Solution:

\( \bar y = \dfrac{3}{2} = 1.5\ \text{m} \), \( A = 2\times3=6\ \text{m}^2 \)

\( F = 1000\times9.81\times1.5\times6 = 88{,}290\ \text{N} \approx 88.3\ \text{kN} \)

\( I_G = 2\dfrac{\times3^3}{12} = 4.5\ \text{m}^4 \)

\( y_{cp} = 1.5 + \dfrac{4.5}{1.5\times6} = 1.5+0.5=2.0\ \text{m} \)

Answer: \(F\approx88.3\ \text{kN}\), acting at \(y_{cp}=2.0\ \text{m}\) below the surface.

Example 2 — Force Components on a Curved (Quadrant) Gate

Given: A quadrant gate of radius 2 m and width 1 m holds back water level with the top of the gate. Find \(F_H\) and \(F_V\).

Solution:

Vertical projection is a rectangle \(2\ \text{m}\times1\ \text{m}\), \(\bar y_{proj}=1\ \text{m}\)

\( F_H = 1000\times9.81\times1\times(2\times1) = 19{,}620\ \text{N} \approx 19.6\ \text{kN} \)

Volume above the curved surface (quarter circle prism): \( V = \tfrac{\pi}{4}(2)^2\times1 = 3.14\ \text{m}^3 \)

\( F_V = 1000\times9.81\times3.14 = 30{,}803\ \text{N} \approx 30.8\ \text{kN} \)

Answer: \(F_H\approx19.6\ \text{kN}\), \(F_V\approx30.8\ \text{kN}\).

Example 3 — Overturning Moment on a Dam

Given: A rectangular dam retains water to a height of 8 m. Find the total force per metre length and the overturning moment about the toe.

Solution:

\( F = \tfrac12\times1000\times9.81\times8^2 = 313{,}920\ \text{N/m} \approx 313.9\ \text{kN/m} \)

\( M_O = 313.9\times(\dfrac{8}{3}) = 313.9\times2.67 \approx 837.9\ \text{kN·m/m} \)

Answer: \(F\approx313.9\ \text{kN/m}\), \(M_O\approx838\ \text{kN·m/m}\) about the toe.

Hydrostatic force on a plane surface Free surface ȳ (centroid) y_cp (CP) F = ρgȳA Plane surface (A)

Fig. 3.1 — Hydrostatic force \(F=\rho g\bar y A\) acts at the centre of pressure (CP), below the centroid G.

Second moment of area for common sections I_G values (centroidal axis) Rectangle b × d I_G = bd³/12 Triangle b,h I_G = bh³/36 (centroidal) Circle D I_G = πD⁴/64

Fig. 3.2 — Second moment of area \(I_G\) about the centroidal axis for common shapes; used directly in the \(y_{cp}\) formula.

Q1. The centre of pressure on a submerged plane surface, compared to the centroid, is always:
Since pressure increases with depth, the lower part of the surface carries a disproportionate share of the load, pulling the centre of pressure below the centroid.
Q2. For a curved submerged surface, the vertical component of the hydrostatic force equals:
The vertical force component equals the weight of fluid directly above the curved surface and acts through the centroid of that volume — the horizontal component is instead the force on the vertical projection.
Q3. As the depth of submergence of a plane surface increases (with the same shape), the centre of pressure:
Since y_cp − ȳ = I_G/(ȳA), and this offset decreases as ȳ (depth) increases, the CP approaches the centroid at greater submergence depths.
🛟
4. Buoyancy & Floatation
Archimedes' Principle · Metacentre · Stability of Floating Bodies
○ Not Started

4.1 Archimedes' Principle

The buoyant force on a submerged or floating body equals the weight of the fluid it displaces. A floating body reaches equilibrium when the buoyant force exactly balances its own weight — the fraction of the body's volume that is submerged equals the ratio of the body's density to the fluid's density. A body whose density exceeds the fluid's density cannot achieve this balance while fully submerged, so it sinks; a body of lower density floats with only a partial fraction submerged.

4.2 Metacentre and Stability of Floating Bodies

When a floating body tilts slightly, its centre of buoyancy (the centroid of the displaced volume) shifts because the submerged shape changes. The metacentre M is the point where a vertical line through the new (shifted) centre of buoyancy intersects the original vertical line through the centre of gravity. If M lies above the centre of gravity G, the resulting couple rights the body back to equilibrium (stable); if M lies below G, the couple instead increases the tilt (unstable, capsizing).

4.3 Metacentric Height

The metacentric height \(GM\) is the distance between the metacentre and the centre of gravity — positive (M above G) means stable equilibrium, with a larger GM giving a "stiffer" (faster-righting, but less comfortable) vessel. \(GM\) can be computed geometrically from the vessel's waterplane geometry (\(BM = \dfrac{I_{WL}}{V_{sub}}\)), or measured experimentally on an actual vessel by shifting a known weight a known distance and measuring the resulting small angle of tilt.

💡 F_B = ρgV_sub. Fraction submerged = ρ_body/ρ_fluid. BM = I_WL/V_sub. GM = BM − BG. For a rectangular pontoon: BM = B²/(12d). Stable if GM > 0 (M above G). Experimental: GM = W_s·x/(W·tanθ). These five facts cover the vast majority of exam questions on this topic.

Archimedes' Principle

\( F_B = \rho_f\,g\,V_{sub} \)

For a floating body: \( F_B = W \)  →  \( \rho_f g V_{sub} = \rho_b g V_{total} \)

Fraction submerged: \( V_{sub}/V_{total} = \dfrac{\rho_{body}}{\rho_{fluid}} = \dfrac{S_{body}}{S_{fluid}} \)

Metacentric Height

\( GM = BM - BG \) (M above G: \(GM>0\) → stable)

\( BM = \dfrac{I_{WL}}{V_{sub}} \)

\(I_{WL}\) = 2nd moment of waterplane area about longitudinal centroidal axis

Rectangular Pontoon

\( I_{WL} = \dfrac{LB^3}{12} \),   \( V_{sub} = LBd \)

\( BM = \dfrac{B^2}{12d} \)

\( GM = OB + BM - OG = \dfrac{d}{2} + \dfrac{B^2}{12d} - OG \)

Experimental Metacentric Height

\( GM = \dfrac{W_s\,x}{W\tan\theta} \)

\(W_s\)=shifted weight; \(x\)=shift distance; \(\theta\)=measured tilt angle

Example 1 — Fraction Submerged

Given: A block of wood has specific gravity 0.65. Find the fraction of its volume submerged when floating in fresh water.

Solution:

\( V_{sub}/V_{total} = \dfrac{S_{body}}{S_{fluid}} = \dfrac{0.65}{1.0} = 0.65 \)

Answer: 65% of the block's volume is submerged.

Example 2 — Metacentric Height of a Rectangular Pontoon

Given: A rectangular pontoon, \(L=12\ \text{m}\), \(B=4\ \text{m}\), floats at a draught \(d=1.5\ \text{m}\). The centre of gravity is 1.2 m above the keel (\(OG=1.2\ \text{m}\)). Find GM and comment on stability.

Solution:

\( BM = \dfrac{B^2}{12d} = \dfrac{16}{12\times1.5} = \dfrac{16}{18} = 0.889\ \text{m} \)

\( OB = \dfrac{d}{2} = 0.75\ \text{m} \)

\( GM = OB+BM-OG = 0.75+0.889-1.2 = 0.439\ \text{m} \)

Answer: \(GM\approx0.44\ \text{m}>0\) — the pontoon is stable.

Example 3 — Experimental Metacentric Height

Given: On a ship weighing 5000 kN, a weight of 30 kN is shifted 6 m across the deck, causing a 2° list. Find the metacentric height.

Solution:

\( GM = \dfrac{W_s x}{W\tan\theta} = \dfrac{30\times6}{5000\times\tan2°} = \dfrac{180}{5000\times0.0349} = \dfrac{180}{174.5} \)

Answer: \(GM\approx1.03\ \text{m}\).

Metacentre and stability of a floating body Upright (stable if M above G) G (CG) B (CB) M BM GM Tilted — righting couple (M above G) G M B' If M above G: STABLE (righting couple) If M below G: UNSTABLE (capsizing couple)

Fig. 4.1 — Metacentre M: when a body tilts, the buoyancy line through the new centre of buoyancy B' intersects the original vertical at M; stable if M is above G, unstable if below.

Q1. A floating body is stable when the metacentre M is:
When M is above G, a small tilt creates a righting couple that returns the body to equilibrium — the definition of stability.
Q2. For a rectangular pontoon of width B floating at draught d, BM equals:
BM = I_WL/V_sub; for a rectangular waterplane, I_WL = LB³/12 and V_sub = LBd, giving BM = B²/(12d).
Q3. A block with specific gravity 0.8 floats in water. What fraction of its volume is submerged?
Fraction submerged equals the ratio of the body's specific gravity to the fluid's specific gravity: 0.8/1.0 = 80%.
➰
5. Fluid Kinematics
Flow Classification · Continuity · Stream Function · Vorticity
○ Not Started

5.1 Types of Flow

Classification Criterion
Steady / Unsteady \(\partial \dfrac{V}{\partial} t = 0\) (steady) or \(\ne 0\) (unsteady) — velocity constant at a point over time
Uniform / Non-uniform \(\partial \dfrac{V}{\partial} s = 0\) (uniform) or \(\ne 0\) — velocity constant along a streamline at a given instant
Laminar / Turbulent Re < 2000 (laminar, viscous dominates) or Re > 4000 (turbulent, inertia dominates)
Compressible / Incompressible Density ρ varies significantly, or is essentially constant

5.2 Flow Lines

A streamline is tangent at every point to the velocity direction at that instant, with no flow crossing it. A pathline is the actual trajectory traced by a single fluid particle over time. A streakline is the locus of all particles that have passed through a fixed point (what dye injection visualises). A streamtube is a bundle of streamlines through which no fluid crosses the walls. For steady flow, all three (streamline, pathline, streakline) coincide exactly; for unsteady flow, they are generally all different.

5.3 Continuity Equation

The continuity equation expresses conservation of mass. In its most general (3D, compressible) form it is a partial differential equation; for steady, incompressible flow it reduces to the divergence of velocity being zero; and for one-dimensional flow through a streamtube it reduces to the simple statement that volumetric flow rate is the same at every cross-section (or mass flow rate, for compressible flow).

5.4 Stream Function and Velocity Potential

The stream function ψ exists for any 2D incompressible flow (it automatically satisfies continuity) — lines of constant ψ are streamlines, and the difference in ψ between two streamlines equals the flow rate between them. The velocity potential φ exists only for irrotational flow, and satisfies Laplace's equation; lines of constant φ (equipotential lines) are always perpendicular to streamlines, forming an orthogonal flow net.

5.5 Vorticity and Circulation

Vorticity is the curl of the velocity field, physically equal to twice the local angular velocity of a fluid element. Circulation is the line integral of velocity around a closed contour, and by Stokes' theorem equals the surface integral of vorticity over any surface bounded by that contour. In irrotational flow, vorticity is zero everywhere, so circulation around any contour not enclosing a singular vortex is also zero.

💡 Continuity: A₁V₁ = A₂V₂. Steady flow: streamline = pathline = streakline. u = ∂ψ/∂y, v = −∂ψ/∂x (stream function). u = −∂φ/∂x (potential). Streamlines are always perpendicular to equipotentials. Irrotational condition: ∂v/∂x = ∂u/∂y.

Continuity Equation

General (3D, compressible): \( \dfrac{\partial\rho}{\partial t}+\dfrac{\partial(\rho u)}{\partial x}+\dfrac{\partial(\rho v)}{\partial y}+\dfrac{\partial(\rho w)}{\partial z}=0 \)

Steady, incompressible: \( \dfrac{\partial u}{\partial x}+\dfrac{\partial v}{\partial y}+\dfrac{\partial w}{\partial z}=0 \)

1D steady (streamtube): \( A_1V_1=A_2V_2=Q \)

Compressible: \( \rho_1A_1V_1=\rho_2A_2V_2=\dot m \)

Stream Function ψ

\( u = \partial\dfrac{\psi}{\partial} y \),   \( v = -\partial\dfrac{\psi}{\partial} x \)

ψ = constant along a streamline; Δψ between streamlines = flow rate per unit depth

Velocity Potential φ

\( u=-\partial\dfrac{\phi}{\partial} x \), \( v=-\partial\dfrac{\phi}{\partial} y \), \( w=-\partial\dfrac{\phi}{\partial} z \)

Satisfies Laplace's equation: \( \nabla^2\phi=0 \)

Exists only for irrotational flow

Vorticity & Circulation

Rotation: \( \omega_z=\tfrac12\left(\dfrac{\partial v}{\partial x}-\dfrac{\partial u}{\partial y}\right) \); irrotational if \(\omega=0\)

Vorticity: \( \vec\omega=\nabla\times\vec V \)

Circulation: \( \Gamma=\oint\vec V\cdot d\vec s \)

Stokes' theorem: \( \Gamma=\iint(\nabla\times\vec V)\cdot d\vec A \)

Example 1 — Continuity Equation

Given: Water flows through a pipe that reduces from 300 mm to 150 mm diameter. If the velocity in the larger section is 2 m/s, find the velocity in the smaller section.

Solution:

\( A_1V_1=A_2V_2 \Rightarrow V_2 = V_1(\dfrac{D_1}{D_2})^2 = 2\times(\dfrac{300}{150})^2 = 2\times4=8\ \text{m/s} \)

Answer: \(V_2=8\ \text{m/s}\).

Example 2 — Stream Function to Velocity

Given: A 2D flow has stream function \(\psi = 3x^2y - y^3\). Find the velocity components \(u\) and \(v\) at the point (1, 2).

Solution:

\( u = \partial\dfrac{\psi}{\partial} y = 3x^2 - 3y^2 \); at (1,2): \( u=3(1)-3(4)=3-12=-9 \)

\( v = -\partial\dfrac{\psi}{\partial} x = -6xy \); at (1,2): \( v=-6(1)(2)=-12 \)

Answer: \(u=-9\), \(v=-12\) (units per the problem's length/time units).

Example 3 — Checking Irrotationality

Given: A flow field has \(u = 2x\), \(v = -2y\). Check whether the flow is irrotational.

Solution:

\( \partial \dfrac{v}{\partial} x = 0 \); \( \partial \dfrac{u}{\partial} y = 0 \)

\( \omega_z = \tfrac12(0-0) = 0 \)

Answer: The flow is irrotational (\(\omega_z=0\) everywhere) — a velocity potential φ exists for it.

Streamlines and equipotential lines forming an orthogonal flow net Streamlines (ψ = const) Equipotential lines (φ = const) Streamlines ⊥ equipotential lines everywhere

Fig. 5.1 — Flow net: streamlines (constant ψ) and equipotential lines (constant φ) intersect at right angles for irrotational flow.

Q1. For steady flow, the streamline, pathline and streakline are:
In steady flow, the flow pattern doesn't change with time, so the path a particle takes, the line traced by dye, and the instantaneous velocity-tangent line all coincide.
Q2. The velocity potential φ exists only for:
Unlike the stream function (which exists for any 2D flow), the velocity potential requires the flow to be irrotational (zero vorticity) to exist.
Q3. Streamlines and equipotential lines in an irrotational flow net are:
Streamlines and equipotential lines always intersect at right angles in a valid flow net for irrotational flow.
⚙️
6. Fluid Dynamics & Flow Measurement
Bernoulli's Equation · Venturimeter · Orifice · Momentum Equation
○ Not Started

6.1 Bernoulli's Equation

Euler's equation of motion, integrated along a streamline for steady, incompressible, inviscid, irrotational flow, gives Bernoulli's equation: the sum of pressure head, velocity head and datum (elevation) head remains constant along a streamline — a statement of conservation of mechanical energy per unit weight of fluid. In real (viscous) systems, a modified form accounts for head losses and any pump head added between two points.

6.2 Flow Measuring Devices

Device Type \(C_d\) Typical
Venturimeter Differential pressure (pipe); smooth converging-diverging section 0.96–0.99
Orifice meter Differential pressure (pipe); simple plate with a hole 0.60–0.65
Pitot tube Point velocity measurement from stagnation pressure \(C_v\approx0.98\text{–}1.0\)
Rotameter Variable area (float rises in a tapered tube) —
Notch / Weir Open channel measurement (see Ch. 13) —

A Venturimeter's smooth, gradual contraction and expansion give it a much higher discharge coefficient than the simple orifice meter, at the cost of greater length and expense — this trade-off between accuracy/efficiency and simplicity/cost is a recurring theme across flow-measuring devices.

6.3 Orifice and Vena Contracta

Torricelli's theorem gives the theoretical jet velocity from an orifice under head h. The actual velocity is always slightly less, captured by the coefficient of velocity \(C_v\) (friction losses). The jet also contracts to a minimum cross-section (the vena contracta) downstream of a sharp-edged orifice, captured by the coefficient of contraction \(C_c\). The overall discharge coefficient combines both effects, and its value depends strongly on orifice edge geometry — sharp-edged, bell-mouth, or re-entrant.

6.4 Momentum Equation (Linear Momentum)

The momentum equation (derived from Newton's second law applied to a control volume via the Reynolds Transport Theorem) relates the net force on the fluid to the rate of change of momentum flux across the control surface. Applied to a pipe bend, it gives the force components needed to hold the bend in place — by Newton's third law, the fluid exerts an equal and opposite force on the pipe, which is what anchor blocks and thrust restraints must resist.

💡 Bernoulli: \(\dfrac{p}{\rho} g + \dfrac{V^2}{2g} + z = H\). Venturimeter Cd = 0.96–0.99; Orifice Cd ≈ 0.61; Cc ≈ 0.64; Cv ≈ 0.98. Torricelli: \(V=\sqrt{2gh}\). These three devices and their Cd values are tested nearly every year.

Euler's & Bernoulli's Equation

Euler (along streamline): \( \dfrac{dp}{\rho g}+\dfrac{V\,dV}{g}+dz=0 \)

Bernoulli: \( \dfrac{p}{\rho g}+\dfrac{V^2}{2g}+z = H = \text{const} \)

Modified (with losses \(h_L\), pump head \(H_p\)): \( H_1+H_p = H_2+h_L \)

Flow Measuring Devices

Venturimeter: \( Q = C_d\dfrac{A_1A_2}{\sqrt{A_1^2-A_2^2}}\sqrt{2gh} \)

Orifice meter: \( Q = C_d A_o\sqrt{2gh} \)

Pitot tube: \( V = C_v\sqrt{2g\,\Delta h} \)

Orifice and Vena Contracta

Torricelli (theoretical): \( V_t = \sqrt{2gh} \)

Actual velocity: \( V_a = C_v V_t \), \(C_v\approx0.98\)

Contraction: \( C_c = A_{vena}/A_{orifice}\approx0.64 \)

Discharge: \( Q = C_dA\sqrt{2gh} \), \(C_d=C_vC_c\approx0.61\) (sharp-edged); 0.82 (bell-mouth); 0.51 (re-entrant)

Submerged orifice: \( Q = C_dA\sqrt{2g(h_1-h_2)} \)

Momentum Equation

\( \sum\vec F = \rho Q(\vec V_2-\vec V_1) \)

Pipe bend: \( F_x=\rho Q(V_2\cos\theta_2-V_1\cos\theta_1)+(p_2A_2\cos\theta_2-p_1A_1\cos\theta_1) \)

\( F_y=\rho Q(V_2\sin\theta_2-V_1\sin\theta_1)+(p_2A_2\sin\theta_2-p_1A_1\sin\theta_1) \)

Resultant: \( F_R=\sqrt{F_x^2+F_y^2} \)

Example 1 — Venturimeter Discharge

Given: A Venturimeter has \(A_1=0.05\ \text{m}^2\), \(A_2=0.02\ \text{m}^2\), \(C_d=0.98\), manometer reading gives \(h=0.3\ \text{m}\) of water. Find the discharge.

Solution:

\( Q = 0.98\times\dfrac{0.05\times0.02}{\sqrt{0.05^2-0.02^2}}\times\sqrt{2\times9.81\times0.3} \)

\( = 0.98\times\dfrac{0.001}{0.0458}\times2.425 = 0.98\times0.02184\times2.425 \approx 0.0519\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx0.052\ \dfrac{\text{m}^3}{\text{s}} = 52\ \text{L/s}\).

Example 2 — Torricelli's Theorem

Given: An orifice is located 2.5 m below the free surface of a tank. Find the theoretical jet velocity and, if \(C_v=0.98\), the actual velocity.

Solution:

\( V_t = \sqrt{2\times9.81\times2.5} = \sqrt{49.05} \approx 7.00\ \text{m/s} \)

\( V_a = 0.98\times7.00 = 6.86\ \text{m/s} \)

Answer: \(V_t\approx7.00\ \text{m/s}\), \(V_a\approx6.86\ \text{m/s}\).

Example 3 — Force on a Pipe Bend

Given: A 90° pipe bend has \(Q=0.15\ \dfrac{\text{m}^3}{\text{s}}\), inlet velocity \(V_1=3\ \text{m/s}\) (along x), exit velocity \(V_2=3\ \text{m/s}\) (along y, since area is constant). Neglect pressure forces. Find the resultant force on the fluid.

Solution:

\( F_x = \rho Q(V_2\cos90° - V_1\cos0°) = 1000\times0.15\times(0-3) = -450\ \text{N} \)

\( F_y = \rho Q(V_2\sin90° - V_1\sin0°) = 1000\times0.15\times(3-0) = 450\ \text{N} \)

\( F_R = \sqrt{450^2+450^2} = 450\sqrt2 \approx 636.4\ \text{N} \)

Answer: \(F_R\approx636\ \text{N}\), directed at 45° to the inlet axis.

Venturimeter cross-section with converging-diverging throat Inlet A₁, V₁, p₁ Throat A₂, V₂, p₂ Manometer connection (Δh) Q = Cd · [A₁A₂/√(A₁²−A₂²)] · √(2gh)

Fig. 6.1 — Venturimeter: the smooth converging-diverging section creates a pressure differential between inlet and throat, from which discharge Q is computed via Bernoulli's equation.

Q1. The discharge coefficient of a Venturimeter is typically:
The Venturimeter's smooth, gradual contraction minimises energy loss, giving a much higher Cd (0.96-0.99) than a simple orifice meter (0.60-0.65).
Q2. The vena contracta is the location where a jet issuing from a sharp-edged orifice:
Fluid streamlines continue to converge for a short distance past a sharp-edged orifice before reaching a minimum area (vena contracta), captured by the coefficient of contraction Cc ≈ 0.64.
Q3. The momentum equation for a control volume is derived from:
The momentum equation applies Newton's second law (force = rate of change of momentum) to a fixed control volume, using the Reynolds Transport Theorem to relate system and control-volume forms.
🧴
7. Viscous Flow of Incompressible Fluid
Hagen-Poiseuille Flow · Parallel Plates · Reynolds Number
○ Not Started

7.1 Hagen-Poiseuille Flow (Laminar Pipe Flow)

For fully developed laminar flow in a circular pipe, viscous shear balances the pressure gradient exactly, giving an exact parabolic velocity profile with maximum velocity at the centreline. Integrating this profile over the cross-section gives the Hagen-Poiseuille law for volumetric flow rate, directly proportional to the fourth power of diameter — meaning a small change in pipe diameter has a dramatic effect on capacity. The head loss predicted by this exact solution corresponds to the Darcy-Weisbach friction factor \(f=\dfrac{64}{Re}\), which is why the Darcy-Weisbach equation applies equally to laminar and turbulent flow.

7.2 Laminar Flow Between Parallel Plates

Flow between two flat plates has two limiting cases superimposed in the general Couette-Poiseuille profile: pure Couette flow (linear velocity profile, driven purely by one plate moving relative to the other, zero pressure gradient) and pure Poiseuille flow (parabolic velocity profile, driven purely by a pressure gradient with both plates fixed). Real bearing and lubrication flows are usually a combination of both mechanisms.

7.3 Reynolds Number and Transition

The Reynolds number is the ratio of inertia forces to viscous forces in a flow, and is the single most important dimensionless parameter for classifying pipe flow. Below the lower critical value, viscous forces dominate and flow remains laminar (smooth, layered); above the upper value, inertia dominates and flow becomes turbulent (chaotic, well-mixed); between the two lies an unstable transition zone that may intermittently switch between the two regimes.

💡 H-P: Q = πD⁴ΔP/(128μL). Velocity profile: u_max = 2·V_mean (parabolic). α = 2.0 (KE correction), β = 4/3 (momentum correction) for laminar flow. f = 64/Re for laminar flow. These are the core Hagen-Poiseuille facts.

Hagen-Poiseuille Flow

Velocity profile: \( u(r) = \dfrac{(R^2-r^2)}{4\mu}\left(-\dfrac{dp}{dx}\right) \) (parabolic)

Max. velocity: \( u_{max} = \dfrac{R^2}{4\mu}\left(-\dfrac{dp}{dx}\right) \)

Mean velocity: \( V_{mean} = \dfrac{u_{max}}{2} \)

Flow rate: \( Q = \dfrac{\pi R^4}{8\mu}\left(-\dfrac{dp}{dx}\right) = \dfrac{\pi D^4\Delta P}{128\mu L} \)

Head loss: \( h_f = \dfrac{32\mu LV}{\rho gD^2} = \dfrac{128\mu LQ}{\pi\rho gD^4} \)

Correction factors (laminar): \(\alpha=2.0\) (kinetic energy); \(\beta=\dfrac{4}{3}\) (momentum)

Laminar Flow Between Parallel Plates

Couette-Poiseuille: \( u(y) = \dfrac{Uy}{h}+\dfrac{1}{2\mu}\left(-\dfrac{dp}{dx}\right)y(h-y) \)

Pure Couette: \( u = \dfrac{Uy}{h} \) (linear)

Pure Poiseuille: \( u = \dfrac{h^2-y^2}{4\mu}\left(-\dfrac{dp}{dx}\right) \) (parabolic)

Mean velocity (Poiseuille): \( V = \dfrac{h^2}{12\mu}\left(-\dfrac{dp}{dx}\right) \)

Reynolds Number

\( Re = \dfrac{\rho VD}{\mu} = \dfrac{VD}{\nu} \)

\(Re<2000\): laminar; \(20004000\): turbulent

Critical Re in a pipe: 2300 (theoretical), 2000 (engineering, conservative)

Example 1 — Hagen-Poiseuille Discharge

Given: Oil (\(\mu=0.1\ \text{Pa·s}\)) flows through a 20 mm diameter pipe, 5 m long, with a pressure drop of 4000 Pa. Find the discharge, assuming laminar flow.

Solution:

\( Q = \dfrac{\pi\times(0.02)^4\times4000}{128\times0.1\times5} = \dfrac{\pi\times1.6\times10^{-7}\times4000}{64} \)

\( Q = \dfrac{2.011\times10^{-3}}{64} \approx 3.14\times10^{-5}\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx31.4\ \text{mL/s}\).

Example 2 — Reynolds Number and Flow Regime

Given: Water (\(\nu=1.0\times10^{-6}\ \dfrac{\text{m}^2}{\text{s}}\)) flows at 0.5 m/s through a 10 mm diameter tube. Determine the flow regime.

Solution:

\( Re = \dfrac{VD}{\nu} = \dfrac{0.5\times0.01}{1.0\times10^{-6}} = 5000 \)

Answer: \(Re=5000>4000\) — the flow is turbulent.

Example 3 — Maximum vs. Mean Velocity (Laminar)

Given: Laminar flow in a pipe has a mean velocity of 0.8 m/s. Find the maximum (centreline) velocity.

Solution:

\( u_{max} = 2\times V_{mean} = 2\times0.8 = 1.6\ \text{m/s} \)

Answer: \(u_{max}=1.6\ \text{m/s}\).

Parabolic laminar velocity profile in a circular pipe centreline u_max at centreline V_mean = u_max/2

Fig. 7.1 — Parabolic (Hagen-Poiseuille) velocity profile: maximum velocity at the centreline is exactly twice the mean (average) velocity across the pipe.

Q1. For fully developed laminar pipe flow, the maximum (centreline) velocity is related to the mean velocity by:
Integrating the exact parabolic velocity profile over the pipe cross-section shows the mean velocity is exactly half the centreline maximum.
Q2. The Darcy friction factor for laminar flow is given by:
f = 64/Re follows directly from equating the Hagen-Poiseuille exact head loss to the Darcy-Weisbach formula for laminar flow.
Q3. Hagen-Poiseuille flow rate through a circular pipe is proportional to:
Q = πD⁴ΔP/(128μL) — the strong fourth-power dependence on diameter means small changes in pipe size dramatically affect laminar flow capacity.
🚰
8. Flow Through Pipes
Darcy-Weisbach · Minor Losses · Series/Parallel Pipes · Water Hammer
○ Not Started

8.1 Darcy-Weisbach Equation

The Darcy-Weisbach equation is the universal formula for friction (major) head loss in pipe flow, applicable to both laminar and turbulent flow provided the correct friction factor \(f\) is used. For laminar flow, \(f=\dfrac{64}{Re}\) exactly; for turbulent flow, \(f\) depends on both Reynolds number and relative pipe roughness, given approximately by the Blasius formula for smooth pipes at moderate Re, or more generally (and implicitly) by the Colebrook-White equation across the full turbulent range, visualised graphically in the Moody diagram.

8.2 Minor Losses

Minor losses occur at pipe fittings, bends, valves, and sudden changes in cross-section — despite the name, they can be significant in short pipe systems with many fittings. Each loss is expressed as a multiple \(K\) of the velocity head; sudden expansion losses can be derived theoretically (Borda-Carnot), while most other loss coefficients are determined experimentally.

8.3 Pipes in Series and Parallel

Pipes in series carry the same flow rate through every pipe, and head losses add up along the path (just like resistors in series). Pipes in parallel share the same head loss across each parallel branch, and the total flow rate is the sum of the flow through each branch (just like resistors in parallel, but for flow rather than current). An equivalent single pipe, matching the same total head loss for the same total flow, can be computed for either arrangement.

8.4 Pipe Network Analysis (Hardy-Cross)

Real distribution networks (water supply grids) form closed loops rather than simple series/parallel combinations. The Hardy-Cross method solves such networks iteratively: an initial guess of flow in each pipe is corrected loop-by-loop until both continuity at every junction and zero net head loss around every loop are satisfied simultaneously.

8.5 Water Hammer

Sudden valve closure in a pipeline abruptly decelerates the flow, converting kinetic energy into a pressure surge that propagates as a wave at the speed of sound in the fluid-pipe system (the wave speed is reduced from the value in an infinite fluid by the elasticity of the pipe wall). If the valve closes faster than the time for the pressure wave to travel to the reservoir and back (the critical closure time), the full Joukowsky pressure rise develops; slower closure allows partial pressure relief, reducing the severity of the surge.

💡 Darcy-Weisbach: h_f = fLV²/(2gD). Laminar: f=64/Re. Exit loss K=1.0; entry K=0.5. Series pipes: total head loss is additive; parallel: same head loss across each branch. Water hammer: ΔP = ρcΔV.

Darcy-Weisbach & Friction Factor

\( h_f = \dfrac{fLV^2}{2gD} = \dfrac{fLQ^2}{3.03D^5} \)

Chezy: \( V = C\sqrt{RS} \), \(R=\dfrac{D}{4}\) (full pipe); relation: \(f=\dfrac{8g}{C^2}\)

Laminar: \(f=\dfrac{64}{Re}\)

Blasius (smooth, \(4000

Colebrook-White: \(\dfrac{1}{\sqrt f} = -2\log\left(\dfrac{\epsilon}{3.7D}+\dfrac{2.51}{Re\sqrt f}\right)\)

Minor Losses

\( h_m = \dfrac{KV^2}{2g} \)

Entry (sharp): \(K=0.5\); Entry (bell-mouth): \(K\approx0.04\); Exit: \(K=1.0\)

Sudden expansion: \( h_e = (V_1-V_2)\dfrac{^2}{2g} \), \(K=(1-A_1/A_2)^2\)

Sudden contraction: \(K=0.5(1-A_2/A_1)\)

Bend (90°): \(K=0.3\text{–}1.5\); Gate valve (open): \(K=0.2\); Globe valve: \(K=6\text{–}10\)

Series and Parallel Pipes

Series: \(Q_1=Q_2=Q_3=Q\); \(h_{f,total}=h_{f1}+h_{f2}+h_{f3}\)

Parallel: \(h_{f1}=h_{f2}=h_{f3}\); \(Q=Q_1+Q_2+Q_3\)

Equivalent pipe (series): \(\dfrac{L_{eq}}{D_{eq}^5}=\sum(\dfrac{L_i}{D_i^5})\)

Equivalent pipe (parallel): \(\dfrac{L_{eq}}{D_{eq}^5} = \dfrac{L}{(\sum D_i^{5/2})^2}\)

Hardy-Cross & Water Hammer

Hardy-Cross correction: \( \Delta Q = -\dfrac{\sum h_f}{n\sum|h_f/Q|} \) (\(n=2\) Darcy-Weisbach; \(n=1.85\) Hazen-Williams)

Joukowsky: \( \Delta P = \rho c\,\Delta V \)

Celerity: \( c = \dfrac{1}{\sqrt{\rho(1/K+D/(eE))}} \); rigid pipe: \(c=\sqrt{\dfrac{K}{\rho}}\approx1480\ \text{m/s}\) (water)

Critical closure time: \( t_c = \dfrac{2L}{c} \)

Example 1 — Darcy-Weisbach Head Loss

Given: Water flows through a 200 mm diameter, 500 m long pipe at 1.5 m/s, with \(f=0.02\). Find the friction head loss.

Solution:

\( h_f = \dfrac{0.02\times500\times1.5^2}{2\times9.81\times0.2} = \dfrac{0.02\times500\times2.25}{3.924} = \dfrac{22.5}{3.924} \approx 5.73\ \text{m} \)

Answer: \(h_f\approx5.73\ \text{m}\).

Example 2 — Equivalent Pipe (Series)

Given: Two pipes in series: Pipe 1 (\(L_1=200\ \text{m}, D_1=0.3\ \text{m}\)), Pipe 2 (\(L_2=150\ \text{m}, D_2=0.2\ \text{m}\)). Find the equivalent length for an equivalent pipe of diameter 0.25 m.

Solution:

\( \sum(\dfrac{L_i}{D_i^5}) = \dfrac{200}{0.3^5}+\dfrac{150}{0.2^5} = \dfrac{200}{0.00243}+\dfrac{150}{0.00032} = 82{,}305+468{,}750 = 551{,}055 \)

\( L_{eq} = 551{,}055\times D_{eq}^5 = 551{,}055\times0.25^5 = 551{,}055\times0.000977 \approx 538.4\ \text{m} \)

Answer: \(L_{eq}\approx538\ \text{m}\) of 0.25 m diameter pipe.

Example 3 — Water Hammer Pressure Rise

Given: A rigid pipe carries water at \(V_0=2.5\ \text{m/s}\); a valve closes suddenly (\(t < t_c\)). Find the pressure rise.

Solution:

\( c = \sqrt{\dfrac{K}{\rho}} = \sqrt{2.18\dfrac{\times10^9}{1000}} \approx 1476\ \text{m/s} \)

\( \Delta P = \rho c\Delta V = 1000\times1476\times2.5 = 3.69\times10^6\ \text{Pa} \)

Answer: \(\Delta P\approx3.69\ \text{MPa}\) — illustrating why rapid valve closure is dangerous in long pipelines.

Pipes in series and parallel Series (same Q, head losses add) D₁,L₁ D₂,L₂ D₃,L₃ Parallel (same hf, Q splits) Q₁ Q₂ Q₃

Fig. 8.1 — Pipes in series (same discharge, head losses add) vs. parallel (same head loss across each branch, discharges add).

Q1. In pipes connected in parallel, which quantity is the same across every branch?
In a parallel arrangement, each branch connects the same two end points, so the head loss must be identical across all branches — discharge instead splits between them.
Q2. The exit loss coefficient K for a pipe discharging into a large reservoir is:
All of the kinetic energy (velocity head) is dissipated as the jet mixes into the still reservoir water, giving K = 1.0 — the full velocity head is lost.
Q3. Water hammer pressure rise is most severe when valve closure time is:
If the valve closes faster than the time for the pressure wave to travel to the reservoir and reflect back (tc = 2L/c), the full Joukowsky pressure rise develops with no relief.
🪂
9. Drag & Lift Force
Drag Types · Drag Coefficients · Stokes' Law · Terminal Velocity
○ Not Started

9.1 Drag and Lift Definitions

Drag is the force component parallel to the flow direction (resisting motion), while lift is the force component perpendicular to it. Both are expressed via empirical or theoretical dimensionless coefficients \(C_D\) and \(C_L\), which depend on body shape, orientation, and Reynolds number, and are typically obtained from wind-tunnel or towing-tank experiments.

9.2 Types of Drag

  • Pressure (form) drag: due to the pressure difference between the high-pressure front and low-pressure wake of a body; dominant for bluff (non-streamlined) bodies
  • Friction (skin) drag: due to viscous shear stress on the surface; dominant for streamlined bodies where flow separation is minimal
  • Wave drag: free-surface (ships) or compressibility (supersonic aircraft) effects
  • Induced drag: arising from vortices shed at the tips of a finite-span wing

9.3 Drag Coefficients for Standard Bodies

Body Shape Re Range \(C_D\) Notes
Sphere Re < 0.5 24/Re (Stokes) Creeping flow; \(F_D=3\pi\mu DV\)
Sphere 0.5–1000 Intermediate; decreasing Oseen/intermediate range
Sphere 10³–3×10⁵ ≈ 0.4 Newton's drag regime
Sphere > 3×10⁵ ≈ 0.1–0.2 Drag crisis; turbulent BL (dimples on golf ball)
Long circular cylinder 10³–10⁵ ≈ 1.0–1.2 High form drag; separated flow
Flat plate (normal) Turbulent ≈ 1.9 Full pressure drag; wake ≈ plate size
Flat plate (parallel) Laminar/Turbulent ≈ 0.001–0.005 Friction drag only
Aerofoil (thin) Large Re 0.01–0.05 Streamlined; mostly friction drag

9.4 Stokes' Law (Creeping Flow)

For very low Reynolds number (Re < 1), viscous forces completely dominate inertia, and Stokes derived an exact expression for the drag force on a sphere. Setting this drag equal to the net gravity/buoyancy force on a settling particle gives the terminal (settling) velocity — the constant velocity a particle reaches once these forces balance. This principle underlies the design of sedimentation tanks, centrifuges, and particle-size analysis by sedimentation.

💡 Stokes: F_D = 3πμDV; C_D = 24/Re. Terminal velocity: V_t = (ρ_s−ρ_f)gD²/(18μ). C_D(sphere) ≈ 0.4 for 10³ < Re < 3×10⁵. Drag crisis at Re ≈ 3×10⁵ — C_D drops sharply (the reason for golf ball dimples). F_D = C_D × ½ρV²A is the universal drag formula.

Drag and Lift

\( F_D = C_D\times\tfrac12\rho V^2A \)

\( F_L = C_L\times\tfrac12\rho V^2A \)

A = frontal area (drag) or planform area (lift).

Stokes' Law & Terminal Velocity

Stokes drag (Re < 1): \( F_D = 3\pi\mu DV \)

\( C_D = \dfrac{24}{Re} \)

Terminal velocity: \( V_t = \dfrac{(\rho_s-\rho_f)gD^2}{18\mu} \)

Example 1 — Drag Force on a Sphere (Newton's Regime)

Given: A sphere of diameter 0.1 m moves through air (\(\rho=1.2\ \text{kg/m}^3\)) at 20 m/s; \(C_D=0.4\). Find the drag force.

Solution:

\( A = \dfrac{\pi}{4}\times(0.1)^2 = 0.00785\ \text{m}^2 \)

\( F_D = 0.4\times0.5\times1.2\times20^2\times0.00785 = 0.4\times0.5\times1.2\times400\times0.00785 \)

Answer: \(F_D\approx0.754\ \text{N}\).

Example 2 — Terminal Velocity of a Settling Sand Particle

Given: A sand particle, \(D=0.1\ \text{mm}\), \(\rho_s=2650\ \text{kg/m}^3\), settles in water (\(\rho_f=1000\ \text{kg/m}^3\), \(\mu=1.0\times10^{-3}\ \text{Pa·s}\)). Find the terminal velocity (assuming Stokes' law applies).

Solution:

\( V_t = \dfrac{(2650-1000)\times9.81\times(1\times10^{-4})^2}{18\times1\times10^{-3}} = \dfrac{1650\times9.81\times1\times10^{-8}}{0.018} \)

\( V_t = \dfrac{1.619\times10^{-4}}{0.018} \approx 8.99\times10^{-3}\ \text{m/s} \)

Answer: \(V_t\approx9\ \text{mm/s}\).

Example 3 — Stokes Drag Force

Given: A sphere of diameter 2 mm settles in oil (\(\mu=0.5\ \text{Pa·s}\)) at 0.01 m/s. Find the Stokes drag force.

Solution:

\( F_D = 3\pi\times0.5\times0.002\times0.01 = 3\pi\times10^{-5} \approx 9.42\times10^{-5}\ \text{N} \)

Answer: \(F_D\approx9.42\times10^{-5}\ \text{N} = 94.2\ \mu\text{N}\).

Drag coefficient vs Reynolds number for a sphere log(Re) C_D (log scale) Stokes: C_D=24/Re C_D ≈ 0.4 (Newton regime) Drag crisis (Re ≈ 3×10⁵) Turbulent BL, C_D drops

Fig. 9.1 — Drag coefficient of a sphere vs. Reynolds number: Stokes regime, roughly constant C_D≈0.4, then a sharp "drag crisis" drop as the boundary layer transitions to turbulent.

Q1. Stokes' law for drag on a sphere is valid when:
Stokes' law (FD = 3πμDV, CD = 24/Re) is an exact solution valid only in the creeping-flow regime where Re < 1 and viscous forces completely dominate inertia.
Q2. The "drag crisis" phenomenon (sharp drop in CD) for a sphere occurs because:
A turbulent boundary layer has more momentum near the wall and separates later, narrowing the wake and reducing pressure drag — the principle behind golf ball dimples.
Q3. The terminal velocity of a settling sphere in Stokes' regime is proportional to:
Vt = (ρs−ρf)gD²/(18μ) shows a quadratic dependence on particle diameter — doubling particle size quadruples the settling velocity.
📉
10. Boundary Layer Theory
Blasius Solution · Turbulent BL · Separation · Von Kármán Integral
○ Not Started

10.1 Boundary Layer Concept (Prandtl)

Prandtl (1904) introduced the boundary layer concept: for high-Reynolds-number flows over a body, viscous effects are confined to a thin layer near the surface — the boundary layer. Outside this layer, the flow is essentially inviscid (potential flow), which is why potential flow theory (accurate everywhere except this thin layer) can still predict pressure distributions well, even though it completely ignores viscosity.

10.2 Laminar Boundary Layer (Blasius Solution)

Blasius solved the boundary layer equations exactly for laminar flow over a flat plate with zero pressure gradient, giving closed-form expressions for boundary layer thickness, displacement thickness, momentum thickness, and skin friction, all as functions of the local Reynolds number \(Re_x\) (based on distance from the leading edge). Transition to turbulence on a smooth flat plate typically occurs around \(Re_x \approx 5\times10^5\).

10.3 Turbulent Boundary Layer

Once the boundary layer transitions to turbulence, it grows faster (a 1/5 power law rather than the laminar 1/2 power law) and has higher skin friction, since turbulent mixing continuously replenishes momentum near the wall. The turbulent velocity profile near a wall follows the universal law of the wall: a linear viscous sublayer very close to the surface, transitioning to a logarithmic profile further out.

10.4 Boundary Layer Separation

Separation occurs when the wall shear stress falls to zero, caused by an adverse pressure gradient (pressure increasing in the flow direction) that decelerates the near-wall flow faster than the free stream. Common triggers include bluff bodies, sharp corners, diverging channels, and airfoils at high angle of attack; separation causes a large wake, increased pressure drag, and (for a wing) loss of lift known as stall. Prevention strategies include streamlining the body, boundary-layer suction, deliberately tripping the boundary layer turbulent (since a turbulent BL resists separation better), or vortex generators.

10.5 von Kármán Momentum Integral Equation

The von Kármán momentum integral equation is an approximate, integrated form of the boundary layer equations, relating wall shear stress to the growth rate of momentum thickness along the surface. It underlies most approximate (non-exact) boundary layer solution methods, including flows with a non-zero pressure gradient where an exact solution (like Blasius') is not available.

💡 Laminar BL: \(\delta=\dfrac{5x}{\sqrt{Re_x}}\); \(C_D=\dfrac{1.328}{\sqrt{Re_L}}\). Turbulent BL: \(\delta=\dfrac{0.37x}{Re_x^{0.2}}\); \(C_D=\dfrac{0.074}{Re_L^{0.2}}\). Transition at Re_x ≈ 5×10⁵. Separation: wall shear = 0, caused by adverse pressure gradient. Von Kármán constant κ = 0.41.

Boundary Layer Definitions

Thickness δ: distance where velocity = \(0.99U\)

Displacement thickness: \( \delta^* = \int_0^\delta(1-\dfrac{u}{U})\,dy \)

Momentum thickness: \( \theta = \int_0^\delta \dfrac{u}{U}(1-\dfrac{u}{U})\,dy \)

Shape factor: \( H = \delta^*/\theta \)

Laminar BL (Blasius, Flat Plate)

\( \dfrac{\delta}{x} = \dfrac{5.0}{\sqrt{Re_x}} \)

\( \delta^*/x = \dfrac{1.72}{\sqrt{Re_x}} \),   \( \dfrac{\theta}{x} = \dfrac{0.664}{\sqrt{Re_x}} \)

Local skin friction: \( C_f = \dfrac{0.664}{\sqrt{Re_x}} \)

Average drag: \( C_D = \dfrac{1.328}{\sqrt{Re_L}} \)

Transition: \( Re_{x,cr}\approx5\times10^5 \)

Turbulent BL

\( \dfrac{\delta}{x} = \dfrac{0.37}{Re_x^{0.2}} \) (1/5 power law)

Local skin friction: \( C_f = \dfrac{0.0576}{Re_x^{0.2}} \)

Average drag: \( C_D = \dfrac{0.074}{Re_L^{0.2}} \) (\(Re<10^7\))< /p>

Mixed (laminar+turbulent): \( C_D = \dfrac{0.074}{Re_L^{0.2}} - \dfrac{A}{Re_L} \), \(A=1742\) for \(Re_{cr}=5\times10^5\)

Log-law: \( u^+ = 2.5\ln(y^+)+5.0 \), \(\kappa=0.41\), \(u^+=\dfrac{u}{u^*}\), \(y^+=yu^*/\nu\)

Separation & von Kármán Integral

Separation: \( \left.\dfrac{\partial u}{\partial y}\right|_{y=0}=0 \) (adverse \(\partial \dfrac{p}{\partial} x>0\))

\( \dfrac{\tau_w}{\rho U^2} = \dfrac{d\theta}{dx}+(2+H)\dfrac{\theta}{U}\dfrac{dU}{dx} \)

Flat plate (zero pressure gradient): \( \tau_w = \rho U^2\,d\dfrac{\theta}{dx} \)

Example 1 — Laminar Boundary Layer Thickness

Given: Air (\(\nu=1.5\times10^{-5}\ \dfrac{\text{m}^2}{\text{s}}\)) flows at 5 m/s over a flat plate. Find the boundary layer thickness at \(x=0.5\ \text{m}\) from the leading edge.

Solution:

\( Re_x = \dfrac{Ux}{\nu} = 5\dfrac{\times0.5}{1.5}\times10^{-5} = 1.667\times10^5 \)

\( \delta = 5.0\dfrac{\times0.5}{\sqrt{1.667\times10^5}} = \dfrac{2.5}{408.3} \approx 0.00612\ \text{m} \)

Answer: \(\delta\approx6.1\ \text{mm}\) (still laminar since \(Re_x<5\times10^5\)).< /p>

Example 2 — Average Drag Coefficient (Laminar Flat Plate)

Given: For a flat plate of length 1 m in the same flow as Example 1, find the average drag coefficient at the trailing edge.

Solution:

\( Re_L = 5\dfrac{\times1}{1.5}\times10^{-5} = 3.33\times10^5 \)

\( C_D = \dfrac{1.328}{\sqrt{3.33\times10^5}} = \dfrac{1.328}{577.4} \approx 0.0023 \)

Answer: \(C_D\approx0.0023\) (still within the laminar range, marginally below transition).

Example 3 — Turbulent Boundary Layer Thickness

Given: Water flows over a flat plate at high Re such that the boundary layer is turbulent, with \(Re_x=2\times10^6\) at \(x=2\ \text{m}\). Find δ.

Solution:

\( \delta = 0.37\dfrac{\times2}{(2\times10^6)^{0.2}} \)

\( (2\times10^6)^{0.2} \approx 18.9 \)

\( \delta = \dfrac{0.74}{18.9} \approx 0.0392\ \text{m} \)

Answer: \(\delta\approx39.2\ \text{mm}\) — notably thicker than an equivalent laminar boundary layer at the same distance.

Boundary layer growth over a flat plate Leading edge Laminar BL (δ∝√x) Transition (Re≈5×10⁵) Turbulent BL (δ∝x^0.8) Free stream U

Fig. 10.1 — Boundary layer growth over a flat plate: laminar layer thickens as \(\sqrt x\), transitions near \(Re_x\approx5\times10^5\), then grows faster (\(\approx x^{0.8}\)) as a turbulent layer.

Q1. Transition from laminar to turbulent boundary layer on a smooth flat plate typically occurs at:
Re_x ≈ 5×10⁵ is the standard transition Reynolds number for a smooth flat plate boundary layer — much higher than the pipe-flow transition value of ~2000-4000.
Q2. Boundary layer separation is caused by:
An adverse pressure gradient decelerates the slow-moving fluid near the wall faster than the free stream, eventually reversing the flow direction right at the wall and causing separation.
Q3. Compared to a laminar boundary layer at the same location, a turbulent boundary layer is:
Turbulent mixing transports momentum more effectively toward the wall, thickening the boundary layer faster (x^0.8 vs x^0.5) and raising skin friction compared to laminar flow.
🌀
11. Turbulent Flow
Reynolds Decomposition · Mixing Length · Velocity Distribution
○ Not Started

11.1 Nature of Turbulence

Turbulent flow is characterised by chaotic, irregular velocity fluctuations in space and time. It involves mixing, vortex stretching, an energy cascade from large eddies down to progressively smaller eddies, and ultimate dissipation as heat at the smallest (Kolmogorov) scale. Reynolds decomposition splits the instantaneous velocity into a time-averaged mean component and a fluctuating component, which by definition averages to zero over time but still transports momentum — giving rise to an additional apparent stress (Reynolds stress) beyond ordinary viscous shear.

11.2 Velocity Distribution in Turbulent Pipe Flow

Prandtl's mixing length theory models turbulent shear stress using an empirical length scale that grows linearly with distance from the wall. The resulting velocity profile in a turbulent pipe is much flatter than the parabolic laminar profile, commonly approximated by a power law whose exponent depends on Reynolds number; the ratio of mean to maximum velocity is consequently much closer to 1.0 than the laminar value of 0.5, reflecting the more uniform velocity distribution that turbulent mixing produces.

11.3 Turbulent Flow in Pipes

Because the velocity profile is flatter in turbulent flow, the kinetic energy and momentum correction factors (α and β) are much closer to 1.0 than their laminar counterparts (2.0 and 4/3). The Moody diagram summarises the Darcy friction factor as a function of both Reynolds number and relative pipe roughness across the entire laminar-to-fully-rough-turbulent range, with the Blasius formula and Colebrook-White equation as its two key underlying correlations.

💡 α = 2.0 (laminar) vs α ≈ 1.05 (turbulent). Turbulent velocity profile: \(\dfrac{u}{u_{max}}=(\dfrac{y}{R})^{1/7}\). \(\dfrac{V_{mean}}{u_{max}}\approx0.817\) for n=7 (turbulent). Total shear = viscous + Reynolds (turbulent) shear. Friction velocity \(u^*=\sqrt{\dfrac{\tau_0}{\rho}}\).

Reynolds Decomposition & Stress

\( u = \bar u + u' \) (mean + fluctuating); \( \bar{u'} = 0 \)

Reynolds (turbulent) stress: \( \tau_t = -\rho\,\overline{u'v'} \)

Total shear: \( \tau_{total} = \mu\dfrac{du}{dy} - \rho\overline{u'v'} \)

Prandtl's Mixing Length & Power Law

\( \tau_t = \rho l^2\left|\dfrac{du}{dy}\right|\dfrac{du}{dy} \),   \(l\approx\kappa y\) (\(\kappa=0.41\))

Power law: \( \dfrac{u}{u_{max}} = (\dfrac{y}{R})^{1/n} \), \(n\approx7\) at \(Re\approx10^5\)

\( \dfrac{V_{mean}}{u_{max}} = \dfrac{2n^2}{(n+1)(2n+1)} \approx 0.817 \) (for \(n=7\))

Log-Law & Friction Velocity

Friction velocity: \( u^* = \sqrt{\dfrac{\tau_0}{\rho}} \)

Smooth pipe: \( \dfrac{u}{u^*} = 5.75\log(yu^*/\nu)+5.5 \)

Rough pipe: \( \dfrac{u}{u^*} = 5.75\log(\dfrac{y}{\epsilon})+8.5 \)

Correction Factors & Moody Diagram

Turbulent: \(\alpha\approx1.05\text{–}1.10\); \(\beta\approx1.02\text{–}1.05\)

Laminar (for comparison): \(\alpha=2.0\); \(\beta=\dfrac{4}{3}\)

Smooth (Blasius): \( f=\dfrac{0.316}{Re^{0.25}} \) (\(4000

Fully rough: \( \dfrac{1}{\sqrt f} = 2\log(\dfrac{3.7D}{\varepsilon})+\text{const} \) (f independent of Re)

Example 1 — Ratio of Mean to Maximum Velocity (Turbulent)

Given: Turbulent pipe flow follows the 1/7th power law (\(n=7\)). If the centreline (maximum) velocity is 4 m/s, find the mean velocity.

Solution:

\( V_{mean} = 0.817\times u_{max} = 0.817\times4 = 3.27\ \text{m/s} \)

Answer: \(V_{mean}\approx3.27\ \text{m/s}\).

Example 2 — Friction Velocity

Given: Water flows in a pipe with wall shear stress \(\tau_0=5\ \text{Pa}\). Find the friction velocity.

Solution:

\( u^* = \sqrt{\dfrac{5}{1000}} = \sqrt{0.005} \approx 0.0707\ \text{m/s} \)

Answer: \(u^*\approx70.7\ \text{mm/s}\).

Example 3 — Blasius Friction Factor

Given: Water flows in a smooth pipe at \(Re=20{,}000\). Find the Darcy friction factor using the Blasius formula.

Solution:

\( f = \dfrac{0.316}{Re^{0.25}} = \dfrac{0.316}{20000^{0.25}} = \dfrac{0.316}{11.89} \approx 0.0266 \)

Answer: \(f\approx0.0266\).

Comparison of laminar and turbulent velocity profiles in a pipe Laminar (parabolic) Turbulent (flatter, 1/7 power law)

Fig. 11.1 — Laminar (parabolic) vs. turbulent (flatter, fuller) velocity profile in a pipe: turbulent mixing redistributes momentum, giving V_mean/u_max ≈ 0.817 vs. 0.5 for laminar flow.

Q1. The kinetic energy correction factor α for turbulent flow is approximately:
Turbulent mixing flattens the velocity profile, bringing α much closer to 1.0 (≈1.05) compared to the laminar value of 2.0.
Q2. Reynolds stress in turbulent flow arises from:
Reynolds stress (τt = −ρu'v') is an apparent stress arising from the correlated fluctuating velocity components transporting momentum, distinct from ordinary molecular viscous shear.
Q3. In fully rough turbulent pipe flow, the Darcy friction factor:
In the fully rough regime, turbulence is dominated by the roughness elements themselves rather than the viscous sublayer, so f becomes essentially independent of Re and depends only on relative roughness ε/D.
📐
12. Dimensional Analysis & Model Analysis
Buckingham π Theorem · Dimensionless Numbers · Similarity Laws
○ Not Started

12.1 Buckingham π Theorem

The Buckingham π theorem states that if a physical phenomenon can be described by \(n\) variables involving \(m\) fundamental dimensions, it can be reduced to a relationship between \((n-m)\) independent dimensionless groups (π groups). This dramatically reduces the number of experiments needed to characterise a phenomenon — instead of varying every variable independently, only the dimensionless groups need be varied.

12.2 Important Dimensionless Numbers

Number Symbol Formula Significance Model Similarity
Reynolds Re \(\rho \dfrac{VL}{\mu}\) Inertia / Viscous; pipe flow, boundary layer Viscous models (pipe, BL)
Froude Fr \(\dfrac{V}{\sqrt{gL}}\) Inertia / Gravity; free-surface flow Open channel, ship, spillway
Euler Eu \(\dfrac{p}{\rho V^2}\) Pressure / Inertia; cavitation Pressure-dominated flows
Weber We \(\rho \dfrac{V^2L}{\sigma}\) Inertia / Surface tension; droplets Capillary flow, atomisation
Mach Ma \(\dfrac{V}{c}\) Inertia / Compressibility; sound waves Compressible (aerodynamics)
Strouhal St \(\dfrac{fL}{V}\) Vortex shedding frequency; oscillatory flows Vortex-induced vibration
Prandtl Pr \(\mu \dfrac{c_p}{k}=\dfrac{\nu}{\alpha}\) Momentum / Thermal diffusivity Heat transfer similarity

12.3 Model Analysis and Similarity Laws

Complete similarity between a model and its prototype requires geometric similarity (same shape), kinematic similarity (same velocity pattern, scaled), and dynamic similarity (same force ratios). Since it is generally impossible to match every dimensionless number simultaneously, the dominant force ratio for the phenomenon being studied is matched: Froude similarity for free-surface flows (open channels, ships, spillways, where gravity dominates), Reynolds similarity for fully-enclosed viscous flows (pipes, submarines), and Mach similarity for compressible/high-speed aerodynamic flows.

Froude and Reynolds similarity generally cannot both be satisfied in the same model using the same fluid — this is the fundamental model-scale problem in hydraulic engineering, and is why ship model tests (which must satisfy Froude similarity for wave-making) accept some Reynolds-number mismatch, correcting for it separately.

💡 π groups = n − m. Froude: \(Q_r=L_r^{5/2}\); \(V_r=\sqrt{L_r}\). Reynolds similarity: \(V_r=\dfrac{\nu_r}{L_r}\). Key dimensionless numbers: Re (pipe/BL), Fr (open channel/ships), Ma (compressible). Weber for surface tension. These appear in every dimensional analysis question.

Buckingham π Theorem

Number of π groups \( = n - m \)

Procedure: (1) list variables and dimensions; (2) choose \(m\) repeating variables spanning all dimensions; (3) form \((n-m)\) groups; (4) solve for exponents by dimensional homogeneity.

Key Dimensionless Numbers

Reynolds: \( Re = \rho \dfrac{VL}{\mu} = \dfrac{VL}{\nu} \)

Froude: \( Fr = \dfrac{V}{\sqrt{gL}} \)

Weber: \( We = \rho \dfrac{V^2L}{\sigma} \)

Mach: \( Ma = \dfrac{V}{c} \)

Froude Similarity (Free-Surface Models)

\( Fr_p = Fr_m \)

\( V_r = \sqrt{L_r} \),   \( T_r = \sqrt{L_r} \)

\( Q_r = L_r^{5/2} \),   \( F_r = L_r^3 \)

Reynolds & Mach Similarity

Reynolds: \( Re_p = Re_m \)  →  \( V_r = \dfrac{\nu_r}{L_r} \); \( Q_r = \nu_r L_r \)

Mach: \( Ma_p=Ma_m \)  →  \( V_r = c_r = \sqrt{\dfrac{K_r}{\rho_r}} \)

Example 1 — Number of π Groups

Given: A phenomenon involves 6 variables and 3 fundamental dimensions (M, L, T). Find the number of dimensionless π groups.

Solution:

\( n-m = 6-3 = 3 \)

Answer: 3 independent dimensionless π groups.

Example 2 — Froude Model Scaling

Given: A spillway model is built at a length scale ratio \(L_r=25\) (prototype:model). Find the velocity and discharge scale ratios (Froude similarity).

Solution:

\( V_r = \sqrt{25} = 5 \)

\( Q_r = L_r^{5/2} = 25^{2.5} = 25^2\times\sqrt{25} = 625\times5 = 3125 \)

Answer: \(V_r=5\), \(Q_r=3125\) — a model discharge of 1 L/s corresponds to a prototype discharge of 3125 L/s.

Example 3 — Reynolds Model Scaling

Given: A submarine model at \(L_r=20\) is tested in the same fluid as the prototype (\(\nu_r=1\)). Find the required velocity scale ratio for Reynolds similarity.

Solution:

\( V_r = \dfrac{\nu_r}{L_r} = \dfrac{1}{20} = 0.05 \)

Answer: The model velocity must be \(\dfrac{1}{0.05}=20\) times the prototype velocity — illustrating why Reynolds-similarity models often require very high model velocities or a different, less viscous fluid.

Geometric, kinematic and dynamic similarity between prototype and model Prototype (scale 1) V_p Model (scale 1/L_r) V_m Geometric: same shape, scaled by L_r Kinematic + Dynamic: matching Fr, Re, or Ma as appropriate

Fig. 12.1 — Model-prototype similarity: geometric (shape scaled by L_r), kinematic (velocity pattern scaled), and dynamic (matching the dominant dimensionless force ratio — Froude, Reynolds, or Mach).

Q1. A phenomenon with 8 variables and 3 fundamental dimensions reduces to how many dimensionless π groups?
Number of π groups = n − m = 8 − 3 = 5.
Q2. Which dimensionless number governs model similarity for open channel and spillway flows?
Froude similarity governs free-surface (gravity-dominated) flows such as open channels, spillways, and ship hydrodynamics.
Q3. Froude and Reynolds similarity can generally be satisfied simultaneously in the same model:
Froude and Reynolds similarity impose conflicting velocity-scale requirements, so both generally cannot be satisfied together with the same fluid — the fundamental "model scale problem" in hydraulic engineering.
🚧
13. Notches & Weirs
Rectangular · V-Notch · Trapezoidal · Broad-Crested · Submerged
○ Not Started

13.1 Rectangular Notch / Weir

A rectangular sharp-crested weir gives discharge proportional to \(H^{3/2}\), derived by integrating the velocity (from Torricelli's theorem) over the flow depth above the crest. Real weirs deviate from this theoretical value through the discharge coefficient. When the weir does not span the full channel width, end contractions reduce the effective crest length (the Francis formula), and when the approach velocity is significant, a velocity-of-approach correction adds the upstream kinetic energy head to the effective head.

13.2 Triangular (V-Notch) Weir

A V-notch gives discharge proportional to \(H^{5/2}\) — a steeper power than the rectangular weir's \(H^{3/2}\) — because both the head and the effective flow width increase together as the water rises in the V shape. This makes the V-notch far more sensitive at low flows (a small change in Q produces a larger, more measurable change in H) and self-cleaning (no stagnant zone at low flow, unlike a rectangular notch), which is why it is preferred for measuring small or highly variable discharges.

13.3 Trapezoidal Weir (Cipolletti)

The Cipolletti weir uses side slopes of 1:4 (horizontal:vertical), chosen specifically so that the increase in flow area from the sloping sides exactly compensates for the reduction in discharge caused by end contractions — allowing the same simple formula as a suppressed (no end contraction) rectangular weir to be used directly, without a separate contraction correction.

13.4 Broad-Crested and Ogee Weirs

A broad-crested weir is wide enough (relative to head) that the flow becomes critical on the crest itself, giving a discharge formula derived from critical-flow theory rather than the sharp-crested weir's orifice-like formula. An ogee (overflow spillway) profile is shaped to exactly follow the underside of the nappe from a sharp-crested weir at its design head, minimising negative pressure on the spillway face and making it the most hydraulically efficient shape for large dam spillways.

13.5 Submerged Weir

When the downstream (tailwater) level rises above the weir crest, the discharge is reduced compared to free (unsubmerged) flow — the Villemonte equation quantifies this reduction as a function of the submergence ratio (downstream head over upstream head). Only mild submergence (ratio below about 0.67) causes a small reduction; near-complete submergence causes a severe reduction in discharge capacity for the same upstream head.

💡 Rectangle: \(Q=C_d\tfrac23L\sqrt{2g}\,H^{3/2}\). V-notch: \(Q=\tfrac{8}{15}C_d\tan(\dfrac{\theta}{2})\sqrt{2g}\,H^{5/2}\). For a 90° V-notch: \(\approx1.417H^{5/2}\). Cd ≈ 0.62 (sharp-crested). Francis end contraction: L_eff = L − 0.1nH. These are the most directly tested formulae.

Rectangular Weir

Theoretical: \( Q_{th} = \tfrac23 L\sqrt{2g}\,H^{3/2} \)

Actual: \( Q = C_d\tfrac23 L\sqrt{2g}\,H^{3/2} \), \(C_d\approx0.611\text{–}0.62\)

Francis (end contractions, \(n\)=no. of contractions): \( Q = C_d[L-0.1nH]\tfrac23\sqrt{2g}\,H^{3/2} \)

Velocity of approach: \( H_{eff}=H+\dfrac{V_a^2}{2g} \)

Triangular (V-Notch) Weir

\( Q = \tfrac{8}{15}C_d\tan(\dfrac{\theta}{2})\sqrt{2g}\,H^{5/2} \)

For 90° V-notch (\(C_d\approx0.62\)): \( Q\approx1.417\,H^{5/2} \)

Trapezoidal (Cipolletti) & Broad-Crested

Cipolletti (1:4 side slope): \( Q = \tfrac23C_dL\sqrt{2g}\,H^{3/2} \) (no contraction correction needed)

Broad-crested: \( Q \approx 1.705\,C_d\,L\,H^{3/2} \), \(C_d\approx0.848\)

Ogee spillway: \(C_d\approx0.74\) (at design head)

Submerged Weir (Villemonte)

\( \dfrac{Q_{subm}}{Q_{free}} = \left[1-(H_2/H_1)^{1.5}\right]^{0.385} \)

\(S<0.67\) → <10% reduction; \(S>0.9\) → severe reduction.

Example 1 — Rectangular Weir Discharge

Given: A suppressed rectangular weir, \(L=2\ \text{m}\), head \(H=0.4\ \text{m}\), \(C_d=0.62\). Find the discharge.

Solution:

\( Q = 0.62\times\tfrac23\times2\times\sqrt{2\times9.81}\times0.4^{1.5} \)

\( = 0.62\times1.333\times2\times4.429\times0.2530 \approx 1.851\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx1.85\ \dfrac{\text{m}^3}{\text{s}}\).

Example 2 — 90° V-Notch Discharge

Given: A 90° V-notch weir has head \(H=0.25\ \text{m}\). Find the discharge using the standard coefficient.

Solution:

\( Q = 1.417\times H^{2.5} = 1.417\times0.25^{2.5} = 1.417\times0.03125 \approx 0.0443\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx44.3\ \text{L/s}\).

Example 3 — Francis Formula with End Contractions

Given: A rectangular weir, \(L=1.5\ \text{m}\), \(H=0.3\ \text{m}\), with two end contractions (\(n=2\)), \(C_d=0.62\). Find the discharge.

Solution:

\( L_{eff} = 1.5-0.1\times2\times0.3 = 1.5-0.06=1.44\ \text{m} \)

\( Q = 0.62\times1.44\times\tfrac23\times\sqrt{2\times9.81}\times0.3^{1.5} \)

\( = 0.62\times1.44\times0.667\times4.429\times0.1643 \approx 0.4297\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx0.43\ \dfrac{\text{m}^3}{\text{s}}\).

Rectangular and V-notch weir cross-sections Rectangular weir H Q ∝ H^1.5 V-notch (triangular) weir θ H Q ∝ H^2.5

Fig. 13.1 — Rectangular weir (Q ∝ H^1.5) vs. V-notch weir (Q ∝ H^2.5): the V-notch's growing effective width with head makes it more sensitive at low flows.

Q1. A V-notch weir is preferred over a rectangular weir for measuring small flows because:
The steeper Q ∝ H^2.5 relationship (vs H^1.5 for rectangular) gives a larger, more measurable change in head for a given change in low flow rate.
Q2. The Cipolletti weir's 1:4 side slope is chosen so that:
The 1:4 slope is specifically calibrated so that its extra discharge through the sloped sides exactly offsets the reduction from end contractions, allowing the simple suppressed-weir formula to be used directly.
Q3. A submerged weir (tailwater above crest) compared to free-flow conditions gives:
Tailwater rising above the crest reduces the effective head driving the flow, so discharge for the same upstream head is reduced compared to free-flow conditions — quantified by the Villemonte equation.
🌪️
14. Impact of Jets & Turbines
Pelton Wheel · Francis Turbine · Kaplan Turbine · Specific Speed
○ Not Started

14.1 Impact of Jets on Stationary and Moving Vanes

A jet striking a stationary flat plate perpendicular to its path exerts a force but does no work (the plate doesn't move, so power = force × 0 = 0). A jet striking a series of curved vanes moving at velocity \(u\) does useful work, since momentum is exchanged between the fluid and the moving vane — this is the fundamental principle behind impulse turbines. Work done is maximised at a specific vane-to-jet velocity ratio, and the theoretical maximum efficiency approaches 100% only for a semicircular vane deflecting the jet through a full 180° with no friction.

14.2 Pelton Wheel (Impulse Turbine)

A Pelton wheel is a pure impulse turbine: a high-velocity jet (accelerated through a nozzle from a high head) strikes a series of curved buckets on a wheel, converting the jet's kinetic energy into mechanical work at essentially atmospheric pressure throughout the runner. Maximum hydraulic efficiency occurs when the bucket speed is exactly half the jet velocity — beyond this point, the bucket "runs away" from the jet too fast for effective energy transfer; below it, the bucket doesn't move fast enough to fully utilise the jet's relative velocity.

14.3 Francis Turbine (Mixed Flow, Reaction)

Unlike the Pelton wheel, a Francis turbine is a reaction turbine — pressure drops continuously as water flows through the runner, not just in a nozzle beforehand. Work done is captured by the Euler turbine equation, relating the change in whirl (tangential) velocity component to the work extracted. A draft tube below the runner allows the turbine to be positioned above tailwater level (easing maintenance access) while still recovering the kinetic energy leaving the runner as useful pressure head, rather than wasting it.

14.4 Kaplan / Propeller Turbine

A Kaplan turbine is an axial-flow reaction turbine suited to low head, high flow-rate sites (run-of-river hydropower); its adjustable blades (vs. the fixed blades of a simple propeller turbine) let it maintain high efficiency across a wide range of flow conditions, which is essential where river flow varies substantially with season.

Turbine Head Range Specific Speed \(N_s\) Type
Pelton > 300 m 4–70 Impulse; 1–2 jets
Francis 30–500 m 60–300 Reaction; radial/mixed inflow
Kaplan < 50 m 300–900 Reaction; axial flow, adjustable blades
💡 Pelton max efficiency: u = V₁/2. Work per unit mass = ρaV(V−u)²(1+kcosβ). Euler: W = (Vw1·u1 − Vw2·u2)/g. N_s: Pelton 4–70, Francis 60–300, Kaplan 300–900. Pelton = impulse; Francis/Kaplan = reaction. Speed ratio φ ≈ 0.45 for Pelton at best efficiency.

Impact on Vanes

Stationary flat plate: \( F = \rho aV^2 \)

Curved vane (moving series, steady state): \( F_x = \rho aV(V-u)(1-\cos\beta) \)

Work done/second: \( = F_x\times u = \rho aV(V-u)^2(1-\cos\beta) \)

Optimum: \( u=\dfrac{V}{2} \); Max. efficiency: \( \eta_{max}=\dfrac{1-\cos\beta}{2} \) (\(\beta=180°\Rightarrow\eta=1.0\) ideal)

Pelton Wheel

Jet velocity: \( V_1 = C_v\sqrt{2gH} \), \(C_v\approx0.96\text{–}0.99\)

Work/kg: \( W = (V_1-u)u(1+k\cos\beta) \), \(k\approx0.85\text{–}0.95\), \(\beta\approx165°\text{–}170°\)

Hydraulic efficiency: \( \eta_h = \dfrac{2u(V_1-u)(1+k\cos\beta)}{V_1^2} \)

Max. at \(u=\dfrac{V_1}{2}\): \( \eta_{h,max}=\dfrac{1+k\cos\beta}{2}\approx90\text{–}95\% \)

Speed ratio: \( \phi = \dfrac{u}{\sqrt{2gH}} = 0.43\text{–}0.47 \)

Francis Turbine

Euler equation: \( W = (V_{w1}u_1-V_{w2}u_2)/g \)

Draft tube efficiency: \( \eta_{dt} = \dfrac{(V_3^2-V_4^2)/(2g)}{H_s+(V_3^2-V_4^2)/(2g)} \)

\(\eta_{max}\approx90\text{–}92\%\)

Specific Speed

\( N_s = N\dfrac{\sqrt{P}}{H^{5/4}} \) (\(P\) in kW, \(N\) in rpm, \(H\) in m)

Example 1 — Pelton Wheel Efficiency at Optimum Speed

Given: A Pelton wheel has \(H=250\ \text{m}\), \(C_v=0.98\), bucket angle from the reversed jet direction \(\beta=15°\) (i.e. the jet is deflected through 165°), \(k=0.9\), running at optimum speed ratio. Find the maximum hydraulic efficiency.

Solution:

\( \eta_{h,max} = \dfrac{1+k\cos\beta}{2} = \dfrac{1+0.9\times\cos15°}{2} = \dfrac{1+0.9\times0.966}{2} = \dfrac{1+0.869}{2} \approx 0.935 \)

Answer: \(\eta_{h,max}\approx93.5\%\).

Example 2 — Pelton Wheel Jet and Bucket Velocity

Given: A Pelton wheel operates under a net head of 400 m with \(C_v=0.98\). Find the jet velocity and the optimum bucket velocity.

Solution:

\( V_1 = 0.98\sqrt{2\times9.81\times400} = 0.98\times88.59 \approx 86.8\ \text{m/s} \)

\( u_{opt} = \dfrac{V_1}{2} \approx 43.4\ \text{m/s} \)

Answer: \(V_1\approx86.8\ \text{m/s}\), \(u_{opt}\approx43.4\ \text{m/s}\).

Example 3 — Turbine Specific Speed and Type Selection

Given: A turbine develops 5000 kW at 300 rpm under a head of 400 m. Find \(N_s\) and identify the likely turbine type.

Solution:

\( N_s = \dfrac{300\times\sqrt{5000}}{400^{1.25}} = \dfrac{300\times70.71}{400^{1.25}} \)

\( 400^{1.25} = 400\times400^{0.25} \approx 400\times4.47 = 1788 \)

\( N_s = \dfrac{21{,}213}{1788} \approx 11.9 \)

Answer: \(N_s\approx12\) — falls in the Pelton range (4–70), consistent with the very high head of 400 m.

Jet striking a Pelton bucket Jet, V₁ = Cv√(2gH) Pelton bucket (split, double-curved) u (bucket speed) Jet deflected ~165° (β) Max efficiency at u = V₁/2

Fig. 14.1 — Jet striking a Pelton bucket: the split, double-curved bucket shape reverses the jet direction by nearly 180°, maximising momentum transfer; efficiency peaks when bucket speed u = V₁/2.

Q1. A Pelton wheel achieves maximum hydraulic efficiency when the bucket velocity u equals:
Maximising the work-per-second expression ρaV(V−u)²u with respect to u gives the optimum at u = V/2.
Q2. Which turbine is classified as an impulse turbine (as opposed to reaction)?
The Pelton wheel converts all available head to kinetic energy in the nozzle before the jet strikes the runner at atmospheric pressure — the defining feature of an impulse turbine.
Q3. A draft tube in a Francis turbine primarily serves to:
Without a draft tube, the kinetic energy of water leaving the runner would simply be wasted; the diverging draft tube converts this velocity head back into usable pressure head while permitting the turbine to be set conveniently above the tailwater level.
🔧
15. Pumps
Centrifugal Pumps · NPSH · Affinity Laws · Reciprocating Pumps
○ Not Started

15.1 Classification of Pumps

Type Mechanism \(N_s\) Application
Centrifugal (radial) Centrifugal action via impeller; most common 20–80 High head, moderate flow; water supply
Mixed flow Combines centrifugal + axial 80–160 Medium head and flow
Axial flow (propeller) Axial lift; low head; high flow 160–400 Irrigation, drainage; very low head
Reciprocating (positive displacement) Piston in cylinder; fixed volume per stroke — Dosing, very high pressure, viscous fluids
Gear / Rotary Intermeshing gears or rotors; positive displacement — Lubrication, hydraulic systems

15.2 Centrifugal Pump — Performance

Euler's pump equation (the mirror image of the turbine equation) gives the theoretical head developed by a centrifugal pump impeller in terms of the change in whirl velocity across it — for the common case of purely radial entry (no pre-swirl), the equation simplifies considerably. Net Positive Suction Head (NPSH) is the margin between the actual pressure at the pump inlet and the fluid's vapour pressure; if the available NPSH falls below the pump's required NPSH (a design characteristic), local pressure drops below vapour pressure somewhere inside the pump and cavitation occurs, which is why pump suction lift is practically limited to about 6–8 m for water.

15.3 Specific Speed and Affinity Laws

Specific speed is a dimensionless (or semi-dimensionless, depending on unit convention) parameter that characterises the "shape" of a pump's performance and is the standard basis for pump classification. The affinity laws predict how a pump's performance changes with rotational speed (for the same pump) or with impeller diameter (for geometrically similar pumps): flow scales linearly, head scales with the square, and power scales with the cube — the cubic power relationship means even small speed increases substantially raise motor power requirements.

15.4 Pumps in Series and Parallel

Pumps in series pass the same flow through each pump, with heads adding — used when a single pump cannot generate sufficient head. Pumps in parallel operate at the same head with flows adding — used when a single pump cannot deliver sufficient flow. The actual operating point of any pump-system combination is the intersection of the pump's head-flow characteristic curve with the system's resistance curve (static lift plus friction losses, which grow with the square of flow rate).

15.5 Reciprocating Pump

A reciprocating pump displaces a fixed volume per stroke (piston area × stroke length), giving theoretical discharge directly proportional to speed — a double-acting design (pumping on both the forward and return stroke) roughly doubles output for the same piston. Slip is the shortfall between theoretical and actual discharge (due to leakage past valves and the piston); an air vessel near the pump smooths the inherently pulsating flow of a reciprocating pump and reduces the acceleration head that would otherwise stress the suction/delivery pipework.

💡 Affinity laws: Q ∝ N, H ∝ N², P ∝ N³. Specific speed \(N_s=N\sqrt Q/H^{3/4}\). Series → H adds; Parallel → Q adds. NPSH_a < NPSH_r → cavitation. Suction head < 6–8 m for water. These are the most frequently tested pump facts.

Euler's Pump Equation & NPSH

\( H_m = (V_{w2}u_2-V_{w1}u_1)/g \); radial entry (\(V_{w1}=0\)): \( H_m=V_{w2}u_2/g \)

\( NPSH_a = \dfrac{p_s}{\rho g}+\dfrac{V_s^2}{2g}-\dfrac{p_v}{\rho g} \)

Cavitation if \(NPSH_a

Suction limit: \( H_s\le\dfrac{p_{atm}}{\rho g}-\dfrac{p_v}{\rho g}-NPSH_r-h_{fs} \); practical: \(H_s\le6\text{–}8\ \text{m}\)

Specific Speed & Affinity Laws

\( N_s = N\sqrt Q/H^{3/4} \)

Same pump, varying speed: \( Q\propto N \); \( H\propto N^2 \); \( P\propto N^3 \)

Similar pumps, different size: \( Q\propto D^3 \); \( H\propto D^2 \); \( P\propto D^5 \)

Combined: \( Q\propto ND^3 \); \( H\propto N^2D^2 \); \( P\propto\rho N^3D^5 \)

Pumps in Series & Parallel

Series: \( Q_{total}=Q_{each} \); \( H_{total}=\sum H_i \)

Parallel: \( H_{total}=H_{each} \); \( Q_{total}=\sum Q_i \)

System curve: \( H_{system}=H_{static}+kQ^2 \)

Reciprocating Pump

Single-acting: \( Q_{mean} = \dfrac{ALN}{60} \)

Double-acting: \( Q_{mean} = (2A-a)\dfrac{LN}{60} \)

Slip: \( S = Q_{th}-Q_{act} \);   \( C_d = \dfrac{Q_{act}}{Q_{th}} = 1-\dfrac{S}{Q_{th}} \)

Example 1 — Affinity Laws (Speed Change)

Given: A pump delivers \(Q=100\ \text{L/s}\), \(H=20\ \text{m}\), \(P=25\ \text{kW}\) at 1450 rpm. Find the performance at 1750 rpm.

Solution:

\( Q_2 = 100\times(\dfrac{1750}{1450}) = 120.7\ \text{L/s} \)

\( H_2 = 20\times(\dfrac{1750}{1450})^2 = 20\times1.456 = 29.1\ \text{m} \)

\( P_2 = 25\times(\dfrac{1750}{1450})^3 = 25\times1.757 = 43.9\ \text{kW} \)

Answer: \(Q_2\approx120.7\ \text{L/s}\), \(H_2\approx29.1\ \text{m}\), \(P_2\approx43.9\ \text{kW}\).

Example 2 — Specific Speed

Given: A pump delivers \(Q=0.5\ \dfrac{\text{m}^3}{\text{s}}\) against \(H=15\ \text{m}\) at 750 rpm. Find the specific speed.

Solution:

\( N_s = \dfrac{750\times\sqrt{0.5}}{15^{0.75}} = \dfrac{750\times0.707}{7.62} = \dfrac{530.3}{7.62} \approx 69.6 \)

Answer: \(N_s\approx70\) — in the centrifugal (radial) pump range.

Example 3 — Reciprocating Pump Discharge

Given: A single-acting reciprocating pump, piston diameter 150 mm, stroke 300 mm, running at 60 rpm. Find the theoretical discharge.

Solution:

\( A = \dfrac{\pi}{4}\times0.15^2 = 0.01767\ \text{m}^2 \)

\( Q_{mean} = \dfrac{ALN}{60} = 0.01767\times0.3\dfrac{\times60}{60} = 0.00530\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q_{mean}\approx5.3\ \text{L/s}\).

Pump characteristic curve and system curve intersection Discharge Q Head H Pump curve H(Q) System curve: H_static + kQ² Operating point

Fig. 15.1 — Pump operating point: intersection of the pump's head-discharge characteristic curve with the system's resistance curve (static lift + friction losses).

Q1. According to the affinity laws, pump power varies with rotational speed as:
Power scales with the cube of rotational speed — a relatively small speed increase can substantially raise the required motor power.
Q2. Cavitation in a centrifugal pump occurs when:
When the available margin above vapour pressure at the pump inlet drops below what the pump design requires, local pressure falls below vapour pressure and vapour bubbles form, causing cavitation.
Q3. When two identical pumps are connected in parallel, compared to a single pump:
Parallel operation is used specifically to increase delivered flow rate at a common operating head — the opposite of series operation, which increases head at a common flow.
🏞️
16. Open Channel Flow
Manning's Formula · Critical Flow · Hydraulic Jump · Gradually Varied Flow
○ Not Started

16.1 Types and Basic Equations

Open channel flow (a free surface exposed to atmosphere) is governed by Chezy's and Manning's formulas, both relating mean velocity to the hydraulic radius (area over wetted perimeter) and the channel's energy slope. Manning's formula is by far the most widely used in practice, since Manning's roughness coefficient \(n\) is well-tabulated for a huge range of natural and constructed channel surfaces.

16.2 Manning's n Values

Channel Type Manning's n
Smooth concrete 0.011–0.013
Unfinished concrete 0.014–0.017
Brick lined 0.013–0.016
Clean earth channel 0.020–0.025
Grassed earth channel 0.030–0.040
Natural (clean, winding) 0.025–0.040
Natural (weedy, deep pools) 0.050–0.100
Flood plain (cultivated areas) 0.030–0.040

16.3 Most Efficient Channel Section

For a given cross-sectional area, slope, and roughness, discharge is maximised by minimising the wetted perimeter (which maximises the hydraulic radius) — this defines the "most efficient" or "best hydraulic" section for each shape. Among all possible cross-sectional shapes, the semicircle is theoretically the most efficient of all; among practically constructible shapes, the best rectangle has width equal to twice the depth, and the best trapezoid has 60° side walls (half of an equilateral triangle).

16.4 Specific Energy and Critical Flow

Specific energy is the total mechanical energy measured relative to the channel bed (rather than an absolute horizontal datum) — the sum of flow depth and velocity head. For a given discharge, specific energy has a minimum value at a particular depth, the critical depth, at which the Froude number equals exactly 1. Below critical depth, flow is supercritical (fast, shallow, "shooting", controlled from upstream); above critical depth, flow is subcritical (slow, deep, "tranquil", controlled from downstream) — this upstream/downstream control distinction is fundamental to understanding how disturbances propagate in open channels.

16.5 Hydraulic Jump

A hydraulic jump is the abrupt, turbulent transition from supercritical to subcritical flow, dissipating substantial kinetic energy as turbulence and heat (rather than smoothly, as in a gradual transition) — it is deliberately used at the base of spillways and stilling basins to dissipate excess energy before water re-enters a natural channel, protecting the channel bed from erosion. The ratio of downstream to upstream depth (the sequent or conjugate depth ratio) depends only on the upstream Froude number, and jumps are classified by strength (and energy dissipation effectiveness) according to that Froude number.

16.6 Gradually Varied Flow (GVF)

When the channel bed slope, roughness, or cross-section changes gradually (rather than abruptly, as in a hydraulic jump), the flow depth adjusts gradually along the channel length according to the GVF equation, relating the rate of change of depth to the mismatch between the actual bed slope and the friction slope required to sustain uniform flow. Depending on how the actual depth compares to the normal depth (uniform-flow depth) and critical depth, twelve standard water-surface profile types are classified (M1-M3 for mild slopes, S1-S3 for steep slopes, and further categories for critical, horizontal and adverse slopes).

16.7 Uniform Flow — Non-Circular Sections

Trapezoidal channels (the most common constructed cross-section) and partially-filled circular pipes (sewers, culverts) both have closed-form expressions for area, wetted perimeter and hydraulic radius as functions of depth, allowing direct application of Manning's formula. For a circular section, maximum discharge and maximum velocity occur at slightly different partial-depth ratios (94% and 81% of full diameter respectively) — a subtlety in sewer design that is frequently tested.

💡 Manning: \(V=\tfrac1nR^{2/3}S^{1/2}\). Critical: \(E_c=1.5y_c\); \(y_c=(\dfrac{Q^2}{gB^2})^{1/3}\). Fr < 1 subcritical; Fr > 1 supercritical. Hydraulic jump: \(\dfrac{y_2}{y_1}=\tfrac12(\sqrt{1+8Fr_1^2}-1)\); \(\Delta E=(y_2-y_1)\dfrac{^3}{4y_1y_2}\). Best rectangle: B = 2y. Best trapezoid: \(m=\dfrac{1}{\sqrt3}\) (60° walls). These are perennial exam questions.

Chezy's and Manning's Formula

Chezy: \( V = C\sqrt{RS} \)

Manning: \( V = \dfrac1n R^{2/3}S^{1/2} \); \( Q = \dfrac An R^{2/3}S^{1/2} \)

\( R=\dfrac{A}{P} \); relation: \( C = \dfrac{R^{1/6}}{n} \)

Most Efficient Sections

Rectangle: \( B=2y \), \( R=\dfrac{y}{2} \)

Trapezoid: \(\theta=60°\), side slope \(1:\sqrt3\), \( R=\dfrac{y}{2} \)

Circle: \( Q_{max} \) at \( d=0.94D \); \( V_{max} \) at \( d=0.81D \)

Specific Energy & Critical Flow

\( E = y+\dfrac{V^2}{2g} = y+\dfrac{Q^2}{2gA^2} \)

Critical (rectangular): \( y_c = (\dfrac{Q^2}{gB^2})^{1/3} \); \( V_c=\sqrt{gy_c} \); \( E_c=\tfrac32y_c \)

\( Fr = \dfrac{V}{\sqrt{gy}} \); \(Fr<1\) subcritical, \(Fr=1\) critical, \(Fr>1\) supercritical

Hydraulic Jump

Sequent depth: \( \dfrac{y_2}{y_1} = \tfrac12\left[-1+\sqrt{1+8Fr_1^2}\right] \)

Energy loss: \( \Delta E = (y_2-y_1)\dfrac{^3}{4y_1y_2} \)

Jump length: \( L_j\approx5\text{–}7\times y_2 \) (empirical)

Classification: \(Fr_1=1\text{–}1.7\) undular; 1.7–2.5 weak; 2.5–4.5 oscillating; 4.5–9.0 steady (best dissipation); >9.0 strong

Gradually Varied Flow

\( \dfrac{dy}{dx} = \dfrac{S_0-S_f}{1-Fr^2} \), \( S_f = \dfrac{n^2V^2}{R^{4/3}} \)

Profile types: M1,M2,M3 (mild); S1,S2,S3 (steep); C1,C2 (critical); H1-3 (horizontal); A1,A2 (adverse)

Non-Circular Sections

Trapezoid: \( A=(B+my)y \); \( P=B+2y\sqrt{1+m^2} \); \( R=\dfrac{A}{P} \)

Circular (partial depth \(d\)): \(\theta=2\arccos(1-\dfrac{2d}{D})\); \( A=(\dfrac{D^2}{8})(\theta-\sin\theta) \); \( P=D\dfrac{\theta}{2} \)

Example 1 — Manning's Formula Discharge

Given: A rectangular channel, \(B=4\ \text{m}\), depth \(y=1.5\ \text{m}\), bed slope \(S=0.0004\), \(n=0.015\). Find the discharge.

Solution:

\( A = 4\times1.5=6\ \text{m}^2 \); \( P = 4+2\times1.5=7\ \text{m} \); \( R=\dfrac{6}{7}=0.857\ \text{m} \)

\( Q = \dfrac{6}{0.015}\times0.857^{2/3}\times0.0004^{1/2} = 400\times0.902\times0.02 \approx 7.22\ \dfrac{\text{m}^3}{\text{s}} \)

Answer: \(Q\approx7.22\ \dfrac{\text{m}^3}{\text{s}}\).

Example 2 — Critical Depth and Sequent Depth (Hydraulic Jump)

Given: A rectangular channel, \(B=3\ \text{m}\), carries \(Q=9\ \dfrac{\text{m}^3}{\text{s}}\) at an upstream depth \(y_1=0.5\ \text{m}\) (supercritical). Find \(y_c\), \(Fr_1\), and the sequent depth \(y_2\).

Solution:

\( y_c = (\dfrac{9^2}{9.81\times3^2})^{1/3} = (\dfrac{81}{88.29})^{1/3} = (0.9174)^{1/3} \approx 0.972\ \text{m} \)

\( V_1 = \dfrac{Q}{By_1} = \dfrac{9}{3\times0.5} = 6\ \text{m/s} \); \( Fr_1 = \dfrac{6}{\sqrt{9.81\times0.5}} = \dfrac{6}{2.215} \approx 2.71 \)

\( \dfrac{y_2}{y_1} = \tfrac12[-1+\sqrt{1+8\times2.71^2}] = \tfrac12[-1+\sqrt{1+58.75}]=\tfrac12[-1+7.727]=3.36 \)

\( y_2 = 3.36\times0.5 = 1.68\ \text{m} \)

Answer: \(y_c\approx0.97\ \text{m}\), \(Fr_1\approx2.71\), \(y_2\approx1.68\ \text{m}\) (oscillating-type jump, since \(2.5

Example 3 — Best Hydraulic Rectangular Section

Given: Design the most efficient rectangular channel section to carry \(Q=5\ \dfrac{\text{m}^3}{\text{s}}\) at \(S=0.001\), \(n=0.014\).

Solution:

For the best rectangle: \(B=2y\), so \(A=2y^2\), \(P=4y\), \(R=\dfrac{A}{P}=\dfrac{y}{2}\)

\( Q = \dfrac{2y^2}{n}\left(\dfrac y2\right)^{2/3}\sqrt S = \dfrac{2^{1/3}}{n}\sqrt S\;y^{8/3} \)

\( 5 = \dfrac{2^{1/3}}{0.014}\times\sqrt{0.001}\times y^{8/3} = 2.846\,y^{8/3} \)

\( y^{8/3} = 1.757 \ \Rightarrow\ y = 1.757^{3/8} \approx 1.235\ \text{m} \)

Answer: \(y\approx1.24\ \text{m}\), \(B=2y\approx2.47\ \text{m}\).

Specific energy diagram and hydraulic jump Specific Energy Diagram E → y ↑ y_c (E_min) E_c Subcritical Supercritical Hydraulic Jump y₁ (supercritical) y₂ (subcritical) ΔE_loss = E₁ − E₂ = (y₂−y₁)³/(4y₁y₂) Sequent depth ratio: y₂/y₁ = ½(−1+√(1+8Fr₁²)) V₁ (fast) V₂ (slow)

Fig. 16.1 — (Left) Specific energy diagram: E_min at y_c, with two possible depths for the same E (alternate depths). (Right) Hydraulic jump: supercritical → subcritical, with sequent depth \(\dfrac{y_2}{y_1}=\tfrac12(\sqrt{1+8Fr_1^2}-1)\).

Q1. The most efficient (best hydraulic) rectangular channel section satisfies:
The best hydraulic rectangle has width equal to twice the flow depth, minimising wetted perimeter for a given flow area.
Q2. A hydraulic jump transitions flow from:
A hydraulic jump is the abrupt transition from fast, shallow supercritical flow to slow, deep subcritical flow, dissipating significant energy in the process.
Q3. At critical flow (Fr = 1), the specific energy is:
Critical depth is defined precisely as the depth at which specific energy is minimised for a given discharge — this is the same condition as Fr = 1.
📚
17. Quick Revision — Hydraulics & Fluid Mechanics
Formula sheet · Exam-angle summary · Mnemonics · Key numbers
○ Not Started

A. Essential Formulae at a Glance

Fluid Properties

\( \tau=\mu\,\dfrac{du}{dy} \); \(\nu=\dfrac{\mu}{\rho}\); \(S_{Hg}=13.6\); \(\gamma_w=9.81\ \text{kN/m}^3\)

Droplet: \(4\dfrac{\sigma}{d}\); Bubble: \(8\dfrac{\sigma}{d}\); Jet: \(2\dfrac{\sigma}{d}\); Capillary rise: \(h=4\sigma\cos\theta/(\rho gd)\)

Hydrostatics & Buoyancy

\( p=\rho gh \); \( F=\rho g\bar yA \); \(y_{cp}=\bar y+\dfrac{I_G}{\bar yA}\)

\(F_B=\rho_fgV_{sub}\); fraction submerged \(=\dfrac{\rho_b}{\rho_f}\); \(BM=\dfrac{I_{WL}}{V_{sub}}\); \(GM=BM-BG\)

Kinematics & Dynamics

\(A_1V_1=A_2V_2=Q\); \(u=\partial\dfrac{\psi}{\partial} y\), \(v=-\partial\dfrac{\psi}{\partial} x\)

Bernoulli: \(\dfrac{p}{\rho} g+\dfrac{V^2}{2g}+z=H\); \(Q=C_dA\sqrt{2gh}\), \(C_d=C_vC_c\)

Viscous & Pipe Flow

\(Q=\pi D^4\Delta \dfrac{P}{128\mu L}\); \(u_{max}=2V_{mean}\); \(f=\dfrac{64}{Re}\) (laminar)

\(h_f=\dfrac{fLV^2}{2gD}\); \(h_m=\dfrac{KV^2}{2g}\); water hammer \(\Delta P=\rho c\Delta V\)

Drag/Lift & Boundary Layer

\(F_D=C_D\times\tfrac12\rho V^2A\); Stokes: \(F_D=3\pi\mu DV\), \(V_t=(\rho_s-\rho_f)\dfrac{gD^2}{18\mu}\)

Laminar BL: \(\delta=\dfrac{5x}{\sqrt{Re_x}}\); Turbulent BL: \(\delta=\dfrac{0.37x}{Re_x^{0.2}}\)

Dim. Analysis, Weirs, Turbines, Open Channel

π groups \(=n-m\); \(Fr=\dfrac{V}{\sqrt{gL}}\); Froude: \(Q_r=L_r^{5/2}\)

Rectangle weir: \(Q=C_d\tfrac23L\sqrt{2g}H^{3/2}\); Manning: \(V=\tfrac1nR^{2/3}S^{1/2}\); jump: \(\dfrac{y_2}{y_1}=\tfrac12(\sqrt{1+8Fr_1^2}-1)\)

B. Key Number Summary

Parameter Value Context
S_mercury 13.6 Specific gravity; manometry
C_d (orifice) ≈ 0.61 Sharp-edged; 0.96–0.99 for Venturi
C_v ≈ 0.98 Velocity coefficient
C_c ≈ 0.64 Contraction coefficient
Laminar Re < 2000 Pipe flow transition
Turbulent Re > 4000 Pipe flow
f (laminar) 64/Re Darcy friction factor
α (laminar / turbulent) 2.0 / ~1.05 Kinetic energy correction
Exit loss K 1.0 Pipe discharges to reservoir
Entry loss K 0.5 Sharp-edged entry
Re (BL transition) 5 × 10⁵ Flat plate
Pelton speed ratio φ 0.43–0.47 \(\dfrac{u}{\sqrt{2gH}}\) at best efficiency
C_d weir (sharp) 0.62 Rectangular and V-notch
E_c / y_c 1.5 Critical specific energy
Best rectangle B = 2y Most efficient open channel

C. Exam-Angle Summary

Topic GATE Focus ESE Focus SSC JE Focus
Fluid Properties Newton's law; viscosity types; capillarity formulae; surface tension ΔP Non-Newtonian fluids; Andrade equation; compressibility; cavitation number Definitions; units; S_Hg=13.6; μ increases/decreases with T
Manometry U-tube calculation; differential manometer p_A−p_B Inverted U-tube; micro-manometer; inclined manometer amplification Simple U-tube reading; manometer types; Pascal's law
Hydrostatics F=ρgȳA; y_cp formula; curved surface F_H and F_V Full curved surface analysis; dam overturning; lock gate forces F=ρgȳA; CP below CG; dam pressure triangle
Buoyancy BM=I_WL/V_sub; GM; experimental GM; fraction submerged Stability conditions; metacentric height calc; layered fluids Archimedes; fraction submerged; float vs sink
Kinematics Continuity A₁V₁=A₂V₂; stream function; irrotationality Vorticity; circulation; flow net; potential functions Continuity concept; streamline definition
Bernoulli / Flow Measurement Venturimeter Q; C_d values; Pitot tube; momentum on bend Modified Bernoulli; Euler derivation; impact force on plate Bernoulli equation; Torricelli \(V=\sqrt{2gh}\)
Pipe Flow Darcy-Weisbach; f=64/Re; minor losses; series/parallel Hardy-Cross; water hammer; Moody diagram; Colebrook-White Darcy-Weisbach formula; minor loss names
Boundary Layer BL thickness formulae; C_D laminar/turbulent; transition Re Von Kármán integral; separation; Blasius solution BL concept; laminar vs turbulent BL
Dim. Analysis π theorem (n−m); Froude Q_r=L_r^5/2; Re similarity Full model scale law derivations Dimensionless number names/meanings
Weirs Rectangle and V-notch Q formulae; Francis correction Broad-crested weir; ogee spillway; Villemonte submerged Rectangular weir Q; V-notch 90°; C_d≈0.62
Turbines Pelton speed ratio u=V/2; Euler equation; N_s ranges Full turbine design; velocity triangles; cavitation Impulse vs reaction; N_s comparison
Pumps Affinity laws; series vs parallel; NPSH Pump characteristics; system curve; reciprocating pump Centrifugal pump concept; affinity basics
Open Channel Manning; y_c; hydraulic jump; E_c=1.5y_c GVF profiles; best hydraulic section Manning's formula; critical flow concept

D. Mnemonics & Memory Aids

🧠 "Droplets Bubble Jets — 4, 8, 2": ΔP: Droplet = 4σ/d (two surfaces), Bubble = 8σ/d (soap, two films), Jet = 2σ/d (one surface).
🧠 "CP is always Below Centroid — like CG is the Boss, CP is the Employee below": y_cp = ȳ + I_G/(ȳA), always y_cp > ȳ.
🧠 "BM = Big Moment / Volume" — BM = I_WL/V_sub; "Stable if GM is Good and Positive" (M above G).
🧠 "Bernoulli's Bank Account: pressure + kinetic + potential = constant" — p/ρg + V²/2g + z = H (conservation of energy along a streamline).
🧠 Orifice coefficients: "Cd = Cv × Cc → 0.61 = 0.98 × 0.64" (check: 0.98 × 0.64 = 0.627 ≈ 0.62).
🧠 "SERIES flows through all pipes — Head Adds; PARALLEL splits the flow — Head Same" — same rule as electrical circuits (series R adds; parallel V is same).
🧠 "Pelton's perfect speed is Half" — u = V₁/2 for maximum efficiency. Pelton N_s = 4–70 (low); Kaplan N_s = 300–900 (high) — "K is the King of Low Head, High N_s".
🧠 "Fr < 1 = Subcritical = Slow = Tall" (deep, slow water); "Fr > 1 = Supercritical = Shooting = Shallow" (fast, shallow). Hydraulic jump goes from fast & shallow to slow & deep.
🧠 Best hydraulic section: "Rectangle — half the width is depth: B=2y; Trapezoid at 60° walls."
🧠 Affinity laws mnemonic: "Q-H-P = 1-2-3 powers of N" — Q ∝ N¹, H ∝ N², P ∝ N³ — "One Head Powers Two, Three".

Practice Questions

1. A capillary tube of 0.5 mm diameter is dipped in mercury (σ=0.51 N/m, θ=140°). Find the capillary depression.

Show Answer
h = 4×0.51×cos140°/(13600×9.81×0.0005) = 4×0.51×(−0.766)/(66.71) = −1.563/66.71 ≈ −0.0234 m → depression ≈ 23.4 mm

2. A vertical circular gate of diameter 1.5 m has its centre 2 m below the water surface. Find the total hydrostatic force.

Show Answer
A = π/4×1.5² = 1.767 m²; F = 1000×9.81×2×1.767 ≈ 34,670 N ≈ 34.7 kN

3. Water flows through a 150 mm diameter pipe at Re=8000. Find the Darcy friction factor using the Blasius formula.

Show Answer
f = 0.316/8000^0.25 = 0.316/9.46 ≈ 0.0334

4. A Pelton wheel operates under H=300 m with Cv=0.98. Find the jet velocity and optimum bucket speed.

Show Answer
\(V_1 = 0.98\sqrt{2\times9.81\times300} = 0.98\times76.72 \approx 75.2\) m/s; \(u_{opt}=\dfrac{V_1}{2}\approx37.6\) m/s

5. A rectangular channel 5 m wide carries 12 m³/s. Find the critical depth.

Show Answer
\(y_c = (\dfrac{Q^2}{gB^2})^{1/3} = (\dfrac{144}{9.81\times25})^{1/3} = (0.587)^{1/3} \approx 0.837\) m

Mini Quiz — Full Chapter Recap

Q1. The specific gravity of mercury used throughout manometry and hydraulics problems is:
S_Hg = 13.6 is one of the most fundamental constants in hydraulics, used in manometer calculations throughout the subject.
Q2. Which turbine type has the lowest specific speed range?
Pelton (Ns = 4–70) is a high-head, low-flow impulse turbine with the lowest specific speed of the three; Kaplan (300–900) is the highest, suited to low head, high flow.
Q3. For the same discharge, a hydraulic jump converts flow from:
A hydraulic jump always transitions from the shallow, fast supercritical state to the deep, slow subcritical state, dissipating kinetic energy as turbulence in the process.
🎉 All Hydraulics & Fluid Mechanics topics mastered! Next: Engineering Hydrology →