1D/2D Transient Heat Conduction (Diff. Eqs)

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SUMMARY

This discussion focuses on solving a 1D transient heat conduction problem for a metal bar with specific boundary conditions: an imposed temperature at the left boundary and convection at the right boundary. The general solution involves separating variables and applying the heat conduction equation, resulting in expressions for both the steady-state and transient solutions. The participants also explore the use of Laplace Transformations to address the problem, highlighting challenges in finding inverse transforms and correctly applying boundary conditions.

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  • Understanding of 1D transient heat conduction equations
  • Familiarity with boundary conditions in heat transfer problems
  • Knowledge of Laplace Transformations and their applications in differential equations
  • Experience with mathematical software tools such as MATLAB or Maple
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  • Learn about boundary condition types and their implications in heat conduction problems
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minger
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Homework Statement


My problem is not necessarily the 2D problem, it's getting the answer in one dimension (I have the y-direction). The problem is the boundary conditions...anyways.

Solve for the temperature of a 1D transient metal bar, with the following boundary conditions. Imposed temperature at the left boundary. Convection all else around.

Homework Equations


Heat Condution Eq.
<br /> \newcommand{\pd}[3]{ \frac{ \partial^2{#1} }{ \partial {#2}^{#3} } }<br /> <br /> \pd{\theta}{x^2}{} - m^2\theta= {\frac{\partial \theta}{\partial t}<br />3. The Attempt at a Solution 1
The general solution is:
<br /> \theta(x) = A sinh(mx) + B cosh(mx)<br />

We know that the solution is the product of the individual directions.

\theta(x,y,t) = \theta(x,t) X \theta(y,t)

We separate the variables and solve for X(x) and T(t) and Y(y) and T(t) separately:

Starting with theta(x,t)

By imposing convection at x=L \theta(x=0) = \theta_b
And imposed temperature at x=0, we get the solution for the x-direction
\theta(x) = \theta_b cosh(mx) - \theta_b \frac{mk sinh(mL) + h cosh(mL)}{mk cosh(mL) + h sinh(mL)}sinh(mx)

This is the steady 1-D fin solution for those boundary condition.

However, the solution in the time direction is:

\Gamma(t) = e^{-\alpha \lambda^2_n t}

Where lambda_n are the characteristic values. I have no idea where to get these. They are somewhat easy in the y-direction. In the y-direction (homogeneous), we get:

\lambda_n tan(\lambda_n y) = \frac{h}{k}

Giving a final solution in the y,t direction as:

\theta(y,t) = 2 \theta_i \sum_{n=0}^\infty e^{-\alpha \lambda^2 t} \frac{sin(\lambda_n y) cos(\lambda_n y)}{\lambda_n B + sin(\lambda_n B) cos(\lambda_n B)}

But I was thinking that the y-direction is only homogeneous if theta = theta_infinity (the freestream temperature), which it will not be. So..I have an answer to one equation which is more than likely wrong. And the other equation I don't know how to get lambda values out of.

3. The Attempt at a Solution 2
Second attempt by using Laplace Transformations was suggested by the prof, since he couldn't figure it out either. In the x-direction only, we transform the equation into (where p's are like the normal s's):

\frac{\partial^2 \overline{\theta}}{\partial x^2} - m^2 \overline{\theta} = \frac{p}{\alpha} \overline{\theta}

Grouping to get:

\frac{\partial \overline{\theta}}{\partial x^2} - (m^2 + \frac{p}{\alpha} \overline{\theta} = 0

Of which the general solution is:

\overline{\theta} = C_1 e^{\lambda x}

Where lambda is the root, and imposing the boundary condition at x=0 giving:

\overline{\theta} = \frac{\theta_b e^{-x \sqrt{\frac{p}{\alpha}+m^2}}}{p}<br />And...I cannot for the life of me, find the inverse laplace of that. Also, I never imposed the convection boundary condition...where was that supposed to go?

Basically, this one problem is stopping me from finishing this last project. If I cannot get this, then that stops me from getting:
1D Transient
2D Steady-State
2D Transient

All of which need the damn x solution. Thanks in advance, I greatly appreciate the help.

edit: I've tried both Matlab and Maple to get the inverse laplace of that function. Neither could do it (don't ask about Mathematica, our university just got rid of it).
 
Last edited:
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What do you mean by "convection all around"? Exactly what is that boundary condition?

You say you are looking for the inverse Laplace transform of
\overline{\theta} = \frac{\theta_b e^{-x \sqrt{\frac{p}{\alpha}+m^2}}}{p}.

The inverse Laplace transfrom of e^{a x} is 1/(x- a). I'm surprised you couldn't find that!
 
Last edited by a moderator:
The boundary conditions are convection at y=-+B (assuming a height of 2B, and the x-axis running through the middle of the bar), and convection at x=L; imposed temperature at x=0.

Also, I do not believe that you can use the shifting theorem because in this case a, is a function of the transformed variable p. The inverse of:

\overline{\theta} = \theta_b \frac{e^{-x \sqrt{\frac{p}{\alpha}}}}{p}

equals

erfc(\frac{x}{2 \sqrt{\alpha t}})

Which is close to what I would expect. But also, using Laplace transformations, where was I supposed to impose the x=L convection boundary condition?
 
Last edited:
For the record here is the correct process. The problem is that neither direction had homoegeneous boundary conditions. So, what you do is solve the final answer as:

\theta = \theta_s + \theta_t

Basically, the summation of a steady-state part and a transient part. Since we have already found the steady state part, we move to the transient. The equation becomes:

\frac{\partial^2 \theta_t}{\partial x^2} - m^2 \theta_t = \frac{\partial \theta_t}{\partial t}

The reason to do this is that now, the boundary conditions must also be adjusted. Where before the imposed boundary condition was:

\theta(x=L) = \theta_b

Is now:

\theta_t(x=L) = \theta_b - theta_s = 0

The unfortunate side-effect of this is that before the boundary condition in time was simply:

\theta(t=0) = \theta_i

Is now:

\theta_t(t=0) = \theta_i - \theta_s

Where the steady-state portion needs to be the entire answer. This makes the last constant very difficult to find, but at least you're farther.

Then the final answer is simply:

\theta = \theta_t + \theta_s
 

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