ME 353 Heat Transfer 1

M.M. Yovanovich

FEF96P1.MWS

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Problem 1 of Final Examination, December 9, 1996.

See the problem statement.

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> restart:

Specify the brick properties and dimensions.

Assume L1 < L2 < L3.

> brick:=
(L1 = 50/2000, L2 = 80/2000, L3 = 180/2000,
k = 1.0, rho = 2000, cp = 960);

[Maple Math]

Specify the conditions of the problem.

> case1:= (h = 60, Ti = 1500, Tf = 300, t = 60*60);

[Maple Math]

Define the three sets of Fourier and Biot numbers.

Use the half-thickness of each side as the characteristic lengths.

> Fo1:= alpha*t/L1^2; Fo2:= alpha*t/L2^2;
Fo3:= alpha*t/L3^2;

[Maple Math]

[Maple Math]

[Maple Math]

> Bi1:= h*L1/k; Bi2:= h*L2/k; Bi3:= h*L3/k;

[Maple Math]

[Maple Math]

[Maple Math]

Define the thermal diffusivity parameter.

> alpha:= k/(rho*cp);

[Maple Math]

(a) Can the lumped capacitance method be used to

calculate the cooling rate?

Check the magnitude of the Biot number.

> Bi_lumped:= h*V/A;

[Maple Math]

> V:= 2*L1*2*L2*2*L3;

[Maple Math]

> A:= 2*(L1*L2 + L1*L3 + L2*L3);

[Maple Math]

Calculate the Biot number based on the lumped capacitance model.

> Bi_lumped1:= evalf(subs(brick, case1, Bi_lumped), 4);

[Maple Math]

Since the value is much greater than 0.2, the lumped capacitance

method cannot be used in this problem.

(b) Compute the temperature at the center of the brick.

First compute the three values of the Fourier and Biot numbers

to see whether the first term approximation can be used.

> Fo_vals:=
evalf(subs(brick, case1, [Fo1, Fo2, Fo3]), 4);

[Maple Math]

> Bi_vals:=
evalf(subs(brick, case1, [Bi1, Bi2, Bi3]), 4);

[Maple Math]

Since all values of the Fourier number are greater than 0.2,

the first term can be used to give accurate results.

The superposition principle can be used. Therefore the

dimensionless temperature of the brick is equal to the

product of three plane wall solutions.

> phi['brick']:= phi1*phi2*phi3;

[Maple Math]

The general plane wall solution is according to the problem

statement.

> phi:=

A1*exp(- delta1^2*Fo)*cos(delta1*zeta);

[Maple Math]

> A1:=
2*sin(delta1)/(delta1 + sin(delta1)*cos(delta1));

[Maple Math]

> delta1:=
Pi/2/(1 + (Pi/2/sqrt(Bi))^n)^(1/n);

[Maple Math]

> n:= 2.139;

[Maple Math]

Dimensionless position is zeta = x/L where 0 <= zeta <= 1.

> 'zeta' = 'x/L';

[Maple Math]

Compute the three values of the eigenvalues corresponding to the lengths

L1, L2 and L3.

> delta_vals:=
[evalf(seq(subs(Bi = Bi_vals[j], delta1),
j = 1..3), 6)];

[Maple Math]

Compute the three values of the first Fourier coefficient A1.

> A1_vals:=
[evalf(seq(subs(delta1 = delta_vals[j], A1),
j = 1..3), 6)];

[Maple Math]

Compute the three values of the dimensionless temperature.

Set zeta = 0 for each plane wall solution.

> phi_vals:=
[evalf(seq(subs(brick, case1, zeta = 0,
Fo = Fo_vals[j], Bi = Bi_vals[j], phi),
j = 1..3), 6)];

[Maple Math]

Compute the dimensionless temperature at the brick center after 6 minutes

of cooling by taking the product of the three plane wall results.

Compute the temperature at the brick center.

> phi_brick:=
evalf(phi_vals[1]*phi_vals[2]*phi_vals[3], 4);

[Maple Math]

> T_center:= Tf + (Ti - Tf)*phi0;

[Maple Math]

> T_centerK:=
evalf(subs(case1, phi0 = phi_brick, T_center), 4);

[Maple Math]

> T_centerC:= evalf(T_centerK - 273.2, 4);

[Maple Math]

(c) The smallest dimension controls the cooling rate of the brick.

Observe that the dimensionless temperature of the brick is closer to

the value for the thinnest plane wall.

The cooling rate is controlled by the exponential function which depends

strongly on the Fourier number.

Summary of the results.

> `Bi lumped` = Bi_lumped1;

[Maple Math]

> `Fourier numbers` = Fo_vals;

[Maple Math]

> `Biot numbers` = Bi_vals;

[Maple Math]

> `eigenvalues` = delta_vals;

[Maple Math]

> `Fourier coefficients` = A1_vals;

[Maple Math]

> `phi values` = phi_vals;

[Maple Math]

> `phi brick` =phi_brick;

[Maple Math]

> `T_brick_center_K` = T_centerK*K;

[Maple Math]

> `T_brick_center_C` = T_centerC*C;

[Maple Math]