Reply To: Results of Gradient-based Optimization

[Murari Iyengar]

To plot efficiency, drag, and lift for every design iteration and every operating condition in Fluent, you can utilize the post-processing capabilities of Fluent. The .cas.h5 and .dat.h5 files you mentioned are the case and data files for each design iteration. You can load these files into Fluent to visualize the results for each iteration.

For plotting a Pareto front, you would typically need to extract the objective function values (in your case, efficiency) and the constraint values (drag and lift) for each design iteration. This data can then be plotted on a graph where the x-axis could represent drag, the y-axis lift, and the data points colored or sized by efficiency. Fluent itself may not have direct capabilities to plot a Pareto front, but you can export the necessary data to a tool that does, such as MATLAB or Python.

Regarding the adjoint iterations, if you have computed 5 operating conditions and about 70 design iterations, and assuming each design iteration involves an adjoint calculation, then your total number of adjoint iterations would indeed be around 350, as you mentioned.

If you need more detailed instructions on how to perform these tasks in Fluent, you may refer to the Ansys Fluent documentation or tutorials that cover optimization and post-processing.