HeatOpt

HeatOpt is a "computational paper" showcasing a heat transport topology optimization solver accompanied by technical details.

The main goal is to optimize a material with a prescribed effective thermal conductivity tensor of the form

$$\kappa = \begin{pmatrix} \kappa_{xx} & \kappa_{xy} \\ \kappa_{yx} & \kappa_{xy} \end{pmatrix}.$$

The engine is written in Python and is based on PyScript

Author: Giuseppe Romano (romanog@mit.edu)

Computational Paper: Link

To run HeatOpt as a stand-alone program, run the following code

python -m venv env
source env/bin/activate
pip install -r requirements.txt

Optimizing a material with tensor

$$\kappa = \begin{pmatrix} 0.1 & -0.04 \\ -0.04 & 0.2 \end{pmatrix}. $$

can be achieved with the following code

from heatopt import get_optimizer,write_stl
import matplotlib.pylab as plt


optimizer,grid = get_optimizer()

kappa,fig,x = optimizer(0.1,0.2,-0.04)
#Always check if the final kappa is close to the prescribed one
print(kappa)

with open('structure.stl','w') as f:
  f.write(write_stl(x))

plt.savefig('structure.png')
plt.show()

Note that the thermal conductivity for the base material is 1 W/m/K.

romanodev/HeatOpt

HeatOpt