UNIT 5: Heat and Mass Transfer
Focus: Exam-Centric Short Notes Based on RGPV Past Papers
1. Steady-State Heat Conduction
One-Dimensional Conduction
- Plane Wall:
$$ q = \frac{k A (T_1 - T_2)}{L}, \quad T(x) = T_1 - \frac{q}{kA} x $$
- Cylinder (radial):
$$ q = \frac{2\pi k L (T_i - T_o)}{\ln(r_o/r_i)}, \quad T(r) = T_i - \frac{q}{2\pi k L} \ln\left(\frac{r}{r_i}\right) $$
- Sphere:
$$ q = \frac{4\pi k r_i r_o (T_i - T_o)}{r_o - r_i}, \quad T(r) = T_i + \frac{q}{4\pi k} \left( \frac{1}{r} - \frac{1}{r_i} \right) $$
Composite Systems
- Series Resistances:
$$ q = \frac{\Delta T}{\sum R}, \quad R_{\text{cond}} = \frac{L}{kA} \text{ (plane)}, \quad R_{\text{cond}} = \frac{\ln(r_o/r_i)}{2\pi k L} \text{ (cylinder)} $$
- Parallel Resistances:
$$ q = q_1 + q_2, \quad \Delta T \text{ same for each path} $$
- Overall Heat Transfer Coefficient (U-value):
$$ q = U A \Delta T_{\text{overall}}, \quad \frac{1}{U} = \sum \frac{1}{h} + \sum R $$
For plane wall with convection:
$$ \frac{1}{U} = \frac{1}{h_i} + \frac{L}{k} + \frac{1}{h_o} $$
[!TIP] For cylindrical coordinates, use log mean area for conduction resistance: \( A_{\text{lm}} = \frac{A_o - A_i}{\ln(A_o/A_i)} \).
Multi-Layer Walls and Pipes
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Example: Double-pane window (May 2023) – total resistance includes convection films and conduction layers (glass, air gap).
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Contact Resistance: Conceptual – imperfect contact adds extra thermal resistance; significant in electronic packaging.
2. Extended Surfaces (Fins)
Purpose and Applications
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Increase surface area to enhance heat transfer from a base.
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Used in heat sinks, radiators, engine cooling, HVAC.
Performance Parameters
- Fin Efficiency:
$$ \eta_f = \frac{q_f}{h A_f (T_b - T_\infty)} $$
Measures effectiveness relative to ideal fin at base temperature.
- Fin Effectiveness:
$$ \epsilon_f = \frac{q_f}{h A_b (T_b - T_\infty)} $$
Ratio of actual heat transfer to that from base area without fin.
Governing Differential Equation (Rectangular Fin, Uniform Cross-Section)
Energy balance on differential element:
$$ q_x - q_{x+dx} - h P dx (T - T_\infty) = 0 $$
Using Fourier’s law \( q = -k A_c \frac{dT}{dx} \), and letting \( \theta = T - T_\infty \):
$$ \frac{d^2\theta}{dx^2} - m^2 \theta = 0, \quad m^2 = \frac{h P}{k A_c} $$
Boundary Conditions
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At base (\( x=0 \)): \( \theta = \theta_b \)
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At tip (\( x=L \)):
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Infinite fin: \( \theta(L) = 0 \)
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Convective tip: \( -k A_c \frac{d\theta}{dx}\big|_{x=L} = h A_c \theta(L) \)
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Insulated tip: \( \frac{d\theta}{dx}\big|_{x=L} = 0 \)
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Solutions and Heat Transfer Rate
- Insulated tip:
$$ \theta(x) = \theta_b \frac{\cosh[m(L-x)]}{\cosh(mL)}, \quad q_f = \sqrt{h P k A_c} \theta_b \tanh(mL) $$
- Infinite fin:
$$ \theta(x) = \theta_b e^{-mx}, \quad q_f = \sqrt{h P k A_c} \theta_b, \quad \eta_f = \frac{1}{mL} $$
- Convective tip:
$$ q_f = \sqrt{h P k A_c} \theta_b \frac{\sinh(mL) + (h/(mk))\cosh(mL)}{\cosh(mL) + (h/(mk))\sinh(mL)} $$
[!TIP] For short fins (\( mL < 0.5 \)), efficiency is high; for long fins, efficiency drops. Use infinite fin approximation only if \( mL > 3 \).
Fin Design Considerations
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Material: high thermal conductivity (e.g., Al, Cu).
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Geometry: thin, long, large perimeter-to-area ratio.
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Attachment: good thermal contact at base.
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Tip condition: insulated tip often assumed for simplicity.
3. Critical Insulation Thickness
Concept
For cylinders/pipes, adding insulation can increase heat loss if the pipe radius \( r_i < r_{cr} \). This occurs because insulation adds conductive resistance but also increases convective surface area.
Derivation for Cylinder
Heat loss per unit length:
$$ q = \frac{2\pi (T_i - T_\infty)}{\frac{\ln(r_o/r_i)}{k} + \frac{1}{h r_o}} $$
Set \( \frac{dq}{dr_o} = 0 \) (or minimize total resistance \( R \)):
$$ \frac{d}{dr_o} \left( \frac{\ln(r_o/r_i)}{k} + \frac{1}{h r_o} \right) = 0 \Rightarrow \frac{1}{k r_o} - \frac{1}{h r_o^2} = 0 $$
Thus, critical outer radius:
$$ \boxed{r_{cr} = \frac{k}{h}} $$
Plot of Heat Transfer vs. Outer Radius
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If \( r_i > r_{cr} \): \( q \) decreases monotonically with \( r_o \).
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If \( r_i < r_{cr} \): \( q \) increases with \( r_o \) until \( r_o = r_{cr} \) (maximum), then decreases.
[!NOTE] The question mentions "minimum point" (Dec 2025), but it is actually a maximum for heat loss when \( r_i < r_{cr} \).
Application in Design
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Refrigeration systems: Pipes often have small \( r_i \); insulation must be thicker than \( r_{cr} - r_i \) to avoid increased heat gain.
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Electrical cables: Insulation thickness chosen to limit heat loss or maintain temperature.
Calculation Problems
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Critical thickness: \( t_{cr} = r_{cr} - r_i \).
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Ratio of heat loss:
$$ \frac{q_{\text{with ins}}}{q_{\text{without}}} = \frac{\ln(r_o/r_i)/k + 1/(h r_i)}{\ln(r_o/r_i)/k + 1/(h r_o)} $$
(Without insulation: \( q_{\text{ns}} = 2\pi r_i h (T_i - T_\infty) \))
4. Convection Heat Transfer
Boundary Layer Theory
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Hydrodynamic boundary layer: Region where velocity changes from 0 to \( u_\infty \).
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Thermal boundary layer: Region where temperature changes from \( T_s \) to \( T_\infty \).
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Momentum Equation (Flat Plate, Boundary Layer Approximations):
Continuity: \( \frac{\partial u}{\partial x} + \frac{\partial v}{\partial y} = 0 \)
x-Momentum: \( u \frac{\partial u}{\partial x} + v \frac{\partial u}{\partial y} = \nu \frac{\partial^2 u}{\partial y^2} \)
(Derived from Navier-Stokes by neglecting \( \frac{\partial u}{\partial y} \ll \frac{\partial u}{\partial x} \), \( v \ll u \), and pressure gradient across layer.)
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Displacement thickness \( \delta^* \):
$$ \delta^* = \int_0^\infty \left(1 - \frac{u}{u_\infty}\right) dy $$
Represents distance outer stream is displaced due to boundary layer.
- Momentum thickness \( \theta \):
$$ \theta = \int_0^\infty \frac{u}{u_\infty} \left(1 - \frac{u}{u_\infty}\right) dy $$
Related to momentum deficit.
Dimensionless Numbers
| Number | Definition | Physical Significance |
|---|---|---|
| Reynolds (Re) | \( \frac{\rho u L}{\mu} \) | Ratio of inertial to viscous forces; indicates flow regime. |
| Prandtl (Pr) | \( \frac{\mu c_p}{k} \) | Ratio of momentum to thermal diffusivity; relative boundary layer thicknesses. |
| Nusselt (Nu) | \( \frac{h L}{k} \) | Convective to conductive heat transfer ratio. |
| Grashof (Gr) | \( \frac{g \beta (T_s - T_\infty) L^3}{\nu^2} \) | Buoyancy to viscous forces in natural convection. |
| Rayleigh (Ra) | \( Gr \cdot Pr \) | Governs natural convection flow regime. |
| Schmidt (Sc) | \( \frac{\nu}{D} \) | Mass transfer analog of Pr. |
| Sherwood (Sh) | \( \frac{h_m L}{D} \) | Mass transfer analog of Nu. |
Flow Regimes
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Laminar: Smooth, ordered (Re < 5×10⁵ for flat plate).
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Transition: 5×10⁵ < Re < 3×10⁶.
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Turbulent: Chaotic, mixing (Re > 3×10⁶); higher \( h \).
Forced Convection
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External Flow:
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Flat Plate:
Laminar (local): \( Nu_x = 0.332 Re_x^{1/2} Pr^{1/3} \) (Pr > 0.6)
Laminar (average): \( \bar{Nu}_L = 0.664 Re_L^{1/2} Pr^{1/3} \)
Turbulent (local): \( Nu_x = 0.0296 Re_x^{4/5} Pr^{1/3} \)
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Cylinder (Cross-Flow):
Use \( \bar{Nu}_D = C Re_D^m Pr^{1/3} \) (C, m from tables) or Churchill-Bernstein for all Re:
-
$$ \bar{Nu}_D = 0.3 + \frac{0.62 Re_D^{1/2} Pr^{1/3}}{[1+(0.4/Pr)^{2/3}]^{1/4}} \left[1 + \left(\frac{Re_D}{282000}\right)^{5/8}\right]^{4/5} $$
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Internal Flow (Circular Tube):
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Hydrodynamically Developed: Velocity profile fully developed (Blasius for laminar, 1/7 power for turbulent).
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Thermally Developed: Temperature profile fully developed.
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Correlations:
Laminar, fully developed: \( Nu = 3.66 \) (constant \( T_s \)), \( Nu = 4.36 \) (constant \( q'' \)).
Turbulent (Dittus-Boelter): \( Nu = 0.023 Re^{0.8} Pr^{0.4} \) (heating), \( Pr^{0.3} \) (cooling).
Sieder-Tate (variable properties): \( Nu = 0.027 Re^{0.8} Pr^{1/3} (\mu/\mu_w)^{0.14} \).
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Mass Average Velocity:
-
$$ u_{ma} = \frac{\int \rho u^2 dA}{\int \rho u dA} $$
Used for variable properties to define bulk temperature.
Natural Convection
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Vertical Plate:
Laminar (\( Ra_L < 10^9 \)): \( \bar{Nu} = 0.59 Ra_L^{1/4} \)
Turbulent (\( Ra_L > 10^9 \)): \( \bar{Nu} = 0.10 Ra_L^{1/3} \)
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Horizontal Cylinder:
Use Churchill-Chu correlation:
$$ \bar{Nu} = \left[0.60 + \frac{0.387 Ra_D^{1/6}}{[1+(0.559/Pr)^{9/16}]^{8/27}}\right]^2 $$
Boiling and Condensation
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Pool Boiling Regimes: Natural convection → nucleate boiling (high \( h \)) → critical heat flux → transition boiling → film boiling (low \( h \), Leidenfrost effect).
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Flow Boiling: Boiling in flowing fluid (e.g., in tubes).
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Condensation:
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Filmwise: Continuous film, lower \( h \).
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Dropwise: Droplets, higher \( h \) (2–5×), but requires special surface.
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5. Radiation Heat Transfer
Fundamental Properties
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Emissivity \( \epsilon \): Ratio of radiation from surface to black body at same \( T \).
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Absorptivity \( \alpha \): Fraction of incident radiation absorbed.
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Reflectivity \( \rho \): Fraction reflected.
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Transmissivity \( \tau \): Fraction transmitted (opaque: \( \tau = 0 \)).
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Kirchhoff’s Law: For a surface in thermal equilibrium, \( \alpha = \epsilon \) at given wavelength and direction. For diffuse gray surfaces, \( \alpha = \epsilon \) (total hemispherical).
Black Body Radiation
- Planck’s Law (Spectral):
$$ E_{\lambda b} = \frac{C_1}{\lambda^5 (e^{C_2/(\lambda T)} - 1)} $$
\( C_1 = 3.742 \times 10^8 \, \text{W} \mu\text{m}^4/\text{m}^2 \), \( C_2 = 1.439 \times 10^4 \, \mu\text{m} \cdot \text{K} \).
- Wien’s Displacement Law:
$$ \lambda_{\text{max}} T = b \quad (b = 2898 \, \mu\text{m·K}) $$
- Stefan-Boltzmann Law:
$$ E_b = \sigma T^4, \quad \sigma = 5.67 \times 10^{-8} \, \text{W/m}^2\text{K}^4 $$
Radiation Shape Factors (View Factors)
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Definition: \( F_{i\to j} = \) fraction of radiation leaving surface \( i \) that strikes surface \( j \) directly.
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Properties:
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Reciprocity: \( A_i F_{i\to j} = A_j F_{j\to i} \)
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Summation: \( \sum_{j=1}^N F_{i\to j} = 1 \)
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Symmetry: \( F_{i\to j} = F_{j\to i} \) only if \( A_i = A_j \).
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Common Geometries:
| Geometry | \( F_{1\to2} \) | |----------|----------------| | Parallel plates (equal area \( A \), separation \( L \ll \sqrt{A} \)) | ≈ 1 | | Concentric cylinders (inner to outer) | 1 | | Hemisphere to base | \( F_{\text{hem}\to\text{base}} = 1/2 \) | | Cylinder base to curved surface | \( F_{\text{base}\to\text{curved}} = 1 \) |
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Derivation for Two Surfaces of Equal Area:
From reciprocity \( A_1 F_{1\to2} = A_2 F_{2\to1} \) and since \( A_1 = A_2 \), \( F_{1\to2} = F_{2\to1} \).
From summation for a two-surface enclosure: \( F_{1\to1} + F_{1\to2} = 1 \), \( F_{2\to2} + F_{2\to1} = 1 \).
If both surfaces are convex (no self-view), \( F_{1\to1} = F_{2\to2} = 0 \), so \( F_{1\to2} = F_{2\to1} = 1 \).
Radiation Between Diffuse Gray Surfaces
- Radiosity \( J \): Total radiation leaving a surface per unit area:
$$ J = \epsilon E_b + (1-\epsilon) G $$
where \( G \) is irradiation (total incident radiation).
- Irradiation \( G \):
$$ G = \sum_{j=1}^N F_{i\to j} J_j $$
- Net Heat Exchange (Two Surfaces):
$$ q_{1\to2} = \frac{\sigma (T_1^4 - T_2^4)}{\frac{1-\epsilon_1}{A_1 \epsilon_1} + \frac{1}{A_1 F_{1\to2}} + \frac{1-\epsilon_2}{A_2 \epsilon_2}} $$
- Reciprocity Theorem: \( A_i F_{i\to j} = A_j F_{j\to i} \) (already stated).
Radiation Shields
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Purpose: Reduce net radiation by adding low-emissivity surfaces.
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Effectiveness: Each shield approximately halves heat transfer if emissivities equal.
Numerical Problems
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Net radiation between two plates (Nov 2023): Use three-surface enclosure (plates + room) with radiosity method.
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Cylindrical enclosure (May 2024): For black concentric cylinders, \( q = \frac{2\pi L \sigma (T_1^4 - T_2^4)}{\frac{1}{D_1} - \frac{1}{D_2}} \).
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Hemispherical cavity (Dec 2025):
For a cavity, net radiation to surroundings at \( T_{\text{sur}} \):
$$ q = \frac{\sigma (T_s^4 - T_{\text{sur}}^4)}{\frac{1-\epsilon}{A_s \epsilon} + \frac{1}{A_s F_{s\to\text{op}}}} $$
For hemisphere: \( A_s = 2\pi R^2 \), \( F_{s\to\text{op}} = 0.5 \). If surroundings are large and black, \( T_{\text{op}} = T_{\text{sur}} \).
6. Heat Exchangers
Classification
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By Flow Arrangement:
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Parallel flow: Both fluids same direction.
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Counter-flow: Opposite directions (higher LMTD, more efficient).
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Cross-flow: Perpendicular (e.g., car radiator).
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Cross-counterflow: Combination.
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By Construction:
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Shell-and-tube: One fluid in tubes, other over tubes in shell.
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Plate: Corrugated plates for high area density.
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Air-cooled: Fins on tubes, air cooled by fans.
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Regenerative: Same matrix alternately exposed to hot and cold fluids.
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By Phase Change: Condensers (vapor → liquid), evaporators (liquid → vapor).
Log Mean Temperature Difference (LMTD)
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Derivation for Parallel Flow:
Energy balance: \( dq = U dA \Delta T(x) \), \( dq = C_h dT_h = -C_c dT_c \).
For constant \( U \), \( C_h \), \( C_c \):
$$ q = U A \frac{\Delta T_1 - \Delta T_2}{\ln(\Delta T_1 / \Delta T_2)} $$
where \( \Delta T_1 = T_{h,\text{in}} - T_{c,\text{in}} \), \( \Delta T_2 = T_{h,\text{out}} - T_{c,\text{out}} \).
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For Counter-Flow:
\( \Delta T_1 = T_{h,\text{in}} - T_{c,\text{out}} \), \( \Delta T_2 = T_{h,\text{out}} - T_{c,\text{in}} \).
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LMTD Correction Factor (F):
For cross-flow or multi-pass, \( \Delta T_{\text{lm, actual}} = F \cdot \Delta T_{\text{lm, cf}} \).
\( F \) obtained from charts using:
$$ P = \frac{T_{h,\text{in}} - T_{h,\text{out}}}{T_{h,\text{in}} - T_{c,\text{in}}}, \quad R = \frac{T_{h,\text{in}} - T_{c,\text{in}}}{T_{c,\text{out}} - T_{c,\text{in}}} $$
Effectiveness-NTU Method (Overview)
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Effectiveness: \( \epsilon = \frac{q}{q_{\text{max}}} \), \( q_{\text{max}} = C_{\text{min}} (T_{h,\text{in}} - T_{c,\text{in}}) \).
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NTU: \( \text{NTU} = \frac{UA}{C_{\text{min}}} \).
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Counter-Flow:
$$ \epsilon = \frac{1 - e^{-\text{NTU}(1-C_r)}}{1 - C_r e^{-\text{NTU}(1-C_r)}}, \quad C_r = \frac{C_{\text{min}}}{C_{\text{max}}} $$
Design and Performance Calculations
Given \( U \), \( A \), flow rates, inlet temperatures, find outlet temperatures:
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Compute \( C_h \), \( C_c \), \( C_{\text{min}} \), \( C_{\text{max}} \), \( C_r \).
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Assume \( \Delta T_{\text{lm}} \) (use LMTD or effectiveness).
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Solve energy balance: \( q = C_h (T_{h,\text{in}} - T_{h,\text{out}}) = C_c (T_{c,\text{out}} - T_{c,\text{in}}) = U A \Delta T_{\text{lm}} \).
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Iterate if necessary (unknown outlet temps).
Fouling
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Causes: Scale, corrosion, biological growth on surfaces.
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Effects: Increases thermal resistance, reduces \( U \), increases pumping power.
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Fouling Factor \( R_f \): Added to resistance:
$$ \frac{1}{U_{\text{actual}}} = \frac{1}{U_{\text{clean}}} + R_f $$
- Impact: Regular cleaning, material selection, water treatment.
Temperature Profiles
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Equal Slopes Condition: \( \left| \frac{dT_h}{dA} \right| = \left| \frac{dT_c}{dA} \right| \) when \( C_h = C_c \).
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Effect in Counter-Flow: Temperature profiles are parallel; LMTD equals arithmetic mean. Maximizes effectiveness for given NTU when \( C_r = 1 \).
7. Transient Heat Conduction
Lumped System Analysis
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Criteria: Biot number \( Bi = \frac{h L_c}{k} < 0.1 \), where \( L_c = V/A_s \).
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Temperature-Time Relation:
$$ \frac{T(t) - T_\infty}{T_i - T_\infty} = \exp\left(-\frac{h A_s t}{\rho V c_p}\right) $$
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Characteristic Length \( L_c \):
| Geometry | \( L_c \) | |----------|-----------| | Plane wall (thickness \( L \)) | \( L/2 \) | | Long cylinder (radius \( r \)) | \( r/2 \) | | Sphere (radius \( r \)) | \( r/3 \) |
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Applications: Solids with high conductivity (metals) in low-\( h \) fluids.
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Numerical Problems: Check \( Bi \), then find time to reach temperature or temperature at given time.
Heisler Charts
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Graphical solutions for 1D transient in infinite slab, cylinder, sphere.
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Use dimensionless temperature \( \theta/\theta_i \) vs. Fourier number \( Fo = \alpha t / L_c^2 \).
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For slab: use half-thickness \( L \); cylinder/sphere: use radius \( r \).
Infinite Thermal Conductivity Method (Product Solution)
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For multi-dimensional transient problems when \( Bi < 0.1 \) in all directions.
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Temperature distribution approximated as product of 1D solutions:
$$ \frac{T - T_\infty}{T_i - T_\infty} = \prod_{i=1}^{3} \frac{\theta_i}{\theta_{i0}} $$
where each \( \theta_i \) is 1D solution for that coordinate.
[!TIP] Lumped capacitance is invalid for large \( Bi \); use Heisler charts or numerical methods.
8. Dimensional Analysis
Buckingham Pi Theorem
If a physical relation involves \( n \) variables and \( r \) fundamental dimensions, it can be expressed in terms of \( (n-r) \) independent dimensionless Pi terms:
$$ F(\pi_1, \pi_2, ..., \pi_{n-r}) = 0 $$
Step-by-Step Procedure
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List all variables and their dimensions.
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Determine \( r \) (number of fundamental dimensions, usually 3: M, L, T; sometimes Θ for temperature).
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Select \( r \) repeating variables that include all fundamental dimensions.
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Form Pi terms: each Pi = (non-repeating variable) × (repeating variables)^exponents. Solve for exponents to make Pi dimensionless.
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Write functional relation.
Advantages
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Reduces number of experiments.
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Generalizes results across scales.
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Reveals dominant physical mechanisms.
Limitations
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Does not give exact functional form.
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Cannot determine dimensionless constants.
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Choice of repeating variables can affect Pi terms.
Application to Forced Convection
Variables: \( h, k, \rho, \mu, c_p, u, D \).
Dimensions: \( h: MT^{-3}\Theta^{-1} \), \( k: MLT^{-3}\Theta^{-1} \), \( \rho: ML^{-3} \), \( \mu: ML^{-1}T^{-1} \), \( c_p: L^2T^{-2}\Theta^{-1} \), \( u: LT^{-1} \), \( D: L \).
Fundamental dimensions: M, L, T, Θ → \( r=4 \), \( n=7 \) → 3 Pi terms.
Choose repeating variables: \( \rho, u, D, c_p \) (cover M, L, T, Θ).
Then:
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\( \pi_1 = \frac{h D}{k} = Nu \)
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\( \pi_2 = \frac{\rho u D}{\mu} = Re \)
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\( \pi_3 = \frac{\mu c_p}{k} = Pr \)
Thus, \( Nu = f(Re, Pr) \).
Application to Fin Performance
Variables: \( q_f, k, h, t, L, \Delta T, \rho, c_p, \mu \) (air properties).
But \( q_f \) depends on fin geometry and \( h \). Typically, key groups: \( \eta_f \) (efficiency) and \( mL \) (where \( m = \sqrt{hP/(kA_c)} \)).
From dimensional analysis, we obtain Pi terms such as \( \frac{q_f}{k \Delta T L} \), \( \frac{hL}{k} \), \( \frac{L}{t} \), \( Re \), \( Pr \). However, for steady-state fins, \( \rho, c_p, \mu \) are not directly involved unless \( h \) is expressed in terms of them.
9. Mass Transfer
Modes of Mass Transfer
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Diffusion: Due to concentration gradient (Fick’s law).
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Convection: Bulk motion + diffusion.
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Mass Transfer Through Stagnant Media: Diffusion through a non-diffusing species (e.g., evaporation through air).
Fick’s First Law
$$ J = -D \frac{dc}{dx} $$
\( J \): molar flux (mol/m²·s), \( D \): diffusion coefficient (m²/s), \( c \): molar concentration (mol/m³).
General Equation of Mass Diffusion (Stationary Medium)
From continuity: \( \frac{\partial c}{\partial t} = -\nabla \cdot \mathbf{J} \).
With Fick’s law: \( \frac{\partial c}{\partial t} = D \nabla^2 c \).
For steady state: \( \nabla^2 c = 0 \) (analogous to heat conduction).
Binary Mixtures
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Molar concentration: \( c = \frac{P}{RT} \) (ideal gas), or \( c = \frac{\rho}{M} \) (liquids).
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Mass concentration: \( \rho = \sum \rho_i \).
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Molar fraction \( x_i \):
$$ x_i = \frac{c_i}{c} = \frac{p_i}{P} \quad \text{(Dalton’s law for ideal gases)} $$
- Mass fraction \( Y_i \):
$$ Y_i = \frac{\rho_i}{\rho} = \frac{x_i M_i}{M_{\text{avg}}}, \quad M_{\text{avg}} = \sum x_i M_i $$
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Calculations (Given Partial Pressures \( p_i \), Total \( P \), Temperature \( T \)):
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Molar concentration: \( c = P/(RT) \).
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Molar fractions: \( x_i = p_i/P \).
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Average molar mass: \( M_{\text{avg}} = \sum x_i M_i \).
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Mass density of mixture: \( \rho = P M_{\text{avg}}/(RT) \).
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Mass density of species \( i \): \( \rho_i = c M_i = (p_i/(RT)) M_i \).
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Mass fractions: \( Y_i = \rho_i/\rho = (p_i M_i)/(P M_{\text{avg}}) \).
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Example (May 2024):
O₂/N₂ mixture at 15°C (288 K), \( P = 1.1 \) bar, \( p_{\text{O}_2} : p_{\text{N}_2} = 0.21 : 0.79 \).
\( p_{\text{O}_2} = 0.231 \) bar, \( p_{\text{N}_2} = 0.869 \) bar.
\( M_{\text{O}_2} = 32 \) g/mol, \( M_{\text{N}_2} = 28 \) g/mol.
\( M_{\text{avg}} = 0.21 \times 32 + 0.79 \times 28 = 28.84 \) g/mol = 0.02884 kg/mol.
\( c = P/(RT) = 1.1 \times 10^5 / (8.314 \times 288) = 45.9 \) mol/m³.
\( \rho = P M_{\text{avg}}/(RT) = 1.1 \times 10^5 \times 0.02884 / (8.314 \times 288) = 1.32 \) kg/m³.
\( Y_{\text{O}_2} = (p_{\text{O}_2} M_{\text{O}_2})/(P M_{\text{avg}}) = (0.231 \times 0.032)/(1.1 \times 0.02884) = 0.233 \), \( Y_{\text{N}_2} = 0.767 \).
Convective Mass Transfer
- Mass Transfer Coefficient \( h_m \):
$$ N_A = h_m (c_{A,s} - c_{A,\infty}) \quad \text{or} \quad N_A = h_m \rho (Y_{A,s} - Y_{A,\infty}) $$
for gases.
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Analogy with Heat Transfer:
Reynolds \( Re = \frac{\rho u L}{\mu} \), Schmidt \( Sc = \frac{\mu}{\rho D} \), Sherwood \( Sh = \frac{h_m L}{D} \).
Similar to Nu = f(Re, Pr).
Example (flat plate): \( Sh_x = 0.332 Re_x^{1/2} Sc^{1/3} \).
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Applications: Evaporation, drying, absorption, distillation.
10. Additional Topics and Devices
Thermocouples
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Principle: Seebeck effect – two dissimilar metals generate voltage proportional to temperature difference between junctions.
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Construction: Two wires (e.g., Chromel-Alumel for Type K) joined at measuring junction; other ends connected to voltmeter at reference (cold) junction.
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Applications: Temperature measurement in furnaces, engines, exhausts, industrial processes.
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Advantages: Wide range (-200°C to 2300°C), rugged, inexpensive, no external power, fast response.
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Limitations: Requires cold junction compensation, nonlinear output, drift over time, lower accuracy than RTDs, small output (μV/°C).
[!TIP] Common types: Type K (Ni-Cr/Ni-Al), Type J (Fe-CuNi), Type T (Cu-CuNi). Use extension wires to avoid errors.
End of Unit 5 Notes
Always cross-check formulas with RGPV syllabus and past papers. Practice numerical problems from Dec 2025, Jun 2025, May 2024, May 2023, Nov 2023 for exam readiness.