ANSYS toolbox facilitates the integration of ANSYS simulations with MATLAB’s computational capabilities.
- Please refer to the following link to download ANSYS toolbox: https://www.mathworks.com/matlabcentral/fileexchange/155122-ansys_aas-1-1-14
It facilitates to import simulation results from ANSYS into MATLAB for analysis or optimization.
Workflow for Optimization using Genetic Algorithm with ANSYS and MATLAB:
- Develop a simulation model in ANSYS that represents the non-linear spring ensuring it can simulate the force-displacement behaviour.
- Parameterize the design variables which allows MATLAB to modify these parameters during optimization.
- Apply appropriate loads and boundary conditions to simulate the force-displacement curve.
- Set up ANSYS to run in batch mode, allowing MATLAB to modify parameters, execute simulations, and retrieve results.
- Define an objective function in MATLAB that updates the ANSYS model with new design variables, executes ANSYS simulation, extracts the simulated curve and calculates th error between desired and simulated curves.
- Configure the Genetic Algorithm options such as population size, crossover rate, mutation rate. Refer to the following MathWorks documentation for Genetic Algorithm options: https://www.mathworks.com/help/gads/genetic-algorithm-options.html
- Run the “ga” function, passing in the objective function and options.
- Postprocessing: Analyse the results to ensure that the optimal design meets all requirements.
