How to Optimize a 2D Nonlinear Heat Conduction Solver in MATLAB?

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SUMMARY

The discussion focuses on optimizing a 2D nonlinear heat conduction solver implemented in MATLAB using the finite difference method. The original code experiences performance issues, leading to slow output generation. A correction to the thermal conductivity formulation is provided, emphasizing the need for accurate representation in the equation. The correct formulation is highlighted as: \(\frac{\partial}{\partial x}\left(K(T)\frac{\partial T}{\partial x}\right)+\frac{\partial}{\partial y}\left(K(T)\frac{\partial T}{\partial y}\right)=Q\).

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  • MATLAB programming proficiency
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  • Knowledge of nonlinear partial differential equations
  • Familiarity with boundary conditions in heat conduction problems
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Researchers, engineers, and students working on thermal analysis, numerical methods, or anyone involved in optimizing MATLAB simulations for heat conduction problems.

range.rover
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Hi friends,

i have developed an code for a non linear heat conduction in 2 dimensions with dirichlet boundary condition by finite difference method in Matlab. my code is running slow to give output.
If anybody has any idea of solving this equation or have written any Code for this equation, please share it with me.
Any body who has worked on this can share the idea with me.

(d2t/dx2 + d2t/dy2)(K(t)) = Q
K(t)= (a - b*t) ; a>>b.
 
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If K represents the thermal conductivity, then this formulation is incorrect. It should read:
\frac{\partial}{\partial x}\left(K(T)\frac{\partial T}{\partial x}\right)+\frac{\partial}{\partial y}\left(K(T)\frac{\partial T}{\partial y}\right)=Q
Chet
 

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