CHAPTER 7 NON-LINEAR CONDUCTION PROBLEMS

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Presentation transcript:

CHAPTER 7 NON-LINEAR CONDUCTION PROBLEMS 7.1 Introduction Non-linearity is due to: · Temperature dependent properties · Radiation effect · Free convection at boundary · Phase change 7.2 Sources of Non-linearity 7.2.1 Non-linear Differential Equations · Temperature dependent properties (7.1)

7.2.2 Non-linear Boundary Conditions Rewrite 7.1 (7.2) · Fins with convection and radiation (7.3) 7.2.2 Non-linear Boundary Conditions (1) Free convection (7.4)

7.3 Taylor Series Method (2) Radiation (7.5) (3) Phase change interface (7.6) L 7.3 Taylor Series Method (7.7)

Example 7.1: Slab with Variable Thermal Conductivity Solution (1) Observations · Non-linearity is due to variable k ·  Symmetry ·  Expansion about mid-plane (2) Origin and Coordinates: Fig. 7.1 (3) Formulation (i) Assumptions

(ii) Governing Equation (1) Steady state (2) Symmetry (3) Uniform energy generation (ii) Governing Equation (a) NOTE: The heat equation is not solved in this method. (iii) Boundary Conditions (1) T (0) = To (2)

(4) Solution. Use Taylor series expansion, eq. (7.7) (b) Second derivative: Apply the heat equation (a) at (c) Third derivative: Differentiate (a) (d)

Evaluating (d) at x = 0 and using BC (2) Fourth derivative: Differentiate (d), set x = 0, use BC (2) and (c) (f) Substitute into (b) (g) where (h)

(5) Checking BC (1) and (h) (i) and (j) Substituting (i) and (j) into (g) (k) (5) Checking Dimensional check

(6) Comments (i) Role of L Limiting check: (i) Constant k: set β = γ = 0 in (k) (l) This is the exact solution for constant (ii) Symmetry: Even powers of x (6) Comments (i) Role of L (ii) Accuracy of solution (iii) Exact solution to eq. (7.1) (m)

7.4 Kirchhoff Transformation Substitute (h) into (m), separate variables, integrate and apply the two BC (n) 7.4 Kirchhoff Transformation 7.4.1 Transformation of Differential Equation Applies to variable k. Differential equation: (7.1) Define (7.8) (7.8) gives a relationship between and T.

Differentiate (7.8) (a) Transformation of and (b) (c) (b) and (c) into (7.1)

· Steady state stationary problems: eq. (7.9) becomes linear NOTE: (non-linear)  (linear) ·  : (7.9) is still non-linear ·  · Steady state stationary problems: eq. (7.9) becomes linear · Approximation: α = constant, eq. (7.9) becomes linear  

7.4.2 Transformation of Boundary Conditions (1) Specified Temperature (7.10) Eq. (7.8) gives (a) Eq. (7.10) into (a) (7.11) Thus, specified T  specified θ = θo (2) Specified Heat Flux (7.12)

2-D conduction in a cylinder with variable k(T) However (b) (b) into eq. (7.12) (7.13) Example 7.2: 2-D conduction in a cylinder with variable k(T) Determine: Steady state temperature distribution

(2) Origin and Coordinates Solution (1) Observations · Non-linearity is due to variable k · BC: Specified temperature and specified heat flux · Kirchhoff transformation is applicable (2) Origin and Coordinates (3) Formulation (i) Assumptions. (1) Steady state (2) Two-dimensional conduction (3) Axisymmetric temperature distribution.

(ii) Governing Equations. Eq. (1.11) for variable k (iii) Boundary Conditions (1) (2) (3) (4)

(4) Solution. Use Kirchhoff transformation (b) (c) (c) into (b) (d) Determine θ : Transform the governing equation and boundary conditions (c)

(e) (e) into (a) (f) Transformation of BC (1) (2) (3) (4)

• T(r,z) is obtained from (d) NOTE: · DE and BC are linear · Eq. (f) is solved by separation of variables · Solution gives θ(r,z) • T(r,z) is obtained from (d) 7.5 Boltzmann Transformation · Based on similarity method · Limited to semi-infinite domains · Restricted initial and boundary conditions

Transient Conduction in a Semi- · Combines two variables (similarity variable): For k = k(T) · Result: Example 7.3: Transient Conduction in a Semi- infinite Region, Variable Conductivity Initial temperature = Ti Surface temperature = To Determine: T(x,t)

(2) Origin and Coordinates (3) Formulation (1) Observations · Semi-infinite, uniform initial temperature: Similarity solution is possible ·  Non-linearity is due to k = k(T) (2) Origin and Coordinates (3) Formulation (i) Assumptions (1) One-dimensional transient conduction (2) initial temperature is uniform.

(ii) Governing Equations (iii) Boundary and Initial Conditions (1) T(0 , t) = To (2) T( , t) = Ti (3) T(x , 0) = Ti (4) Solution. Introduced η (x,t) (b)

· Eq. (7.14) is second order. Needs two B.C. (a) becomes (7.14) Transformed BC and IC: (1) T(0) = To (2) T() = Ti (3) T() = Ti NOTE: · PDE  ODE · Eq. (7.14) is second order. Needs two B.C. · Transformed problem has two B.C.

(5) Comments. Note restriction on solution: · Eq. (7.14) is non-linear: k = k (T) , ρ = ρ (T) and c p = c p (T) · Solution for constant  and cp is obtained using successive approximation (5) Comments. Note restriction on solution: · Semi-infinite region · Uniform initial temperature · Constant surface temperature · Constant ρ and cp · Solution by successive approximation 7.6 Combining Boltzmann and Kirchhoff Transformations Re do Example 7.3. Introduce the Kirchhoff transformation

(7.8) Applying eq. (7.8) to eq. (7.14) (7.15) (a) NOTE: Eq. (7.15) is non-linear because B.C. (1) (2)

Example: Assume: constant eq. (7.15) becomes linear. Solution becomes BC give A and B (c) Convert (c) from this equation gives to Use eq. (7.8) . For specified in terms of Example: (d) (d) into eq. (7.8)

7.7 Exact Solutions The constants and become · Semi-infinite fin · Convection and radiation at surface · Ambient and fluid at (7.16) , (a)

B.C. (1) (2) Introduce the transformation (b) Differentiating (b) (c) Solving (b) for dx (d)

(d) into (c) (e) Using (e) to eliminate in eq. (7.16) (7.17) Separating variables and integrating (f) where C is constant of integration.

Solving (f) for and using (b) (g) If then use negative sign Determine C, apply (g) at (h) Substituting (h) into (g) and solving for C gives (i)

· Exact solution is for · No solution for · For To determine (7.18) plus sign is for NOTE · Exact solution is for · No solution for · For use same method. Need At (j)

Substituting (j) into (7.16) gives This equation is solved for by a trial and error procedure.