This paper was presented at the 2023 ASME Turbo Expo and explores a fast automated optimization workflow using a 3D inverse design method coupled with a
multi-objective genetic algorithm.
The inverse design method generates the blade geometry for a given specification of blade loading parameters and spanwise work distribution. It can explore a large design space with fewer design parameters compared to direct design methods where the blade geometries are parameterized by geometrical variables. The maximum thickness and stacking can also be varied during the optimization. Both the blade geometry and the 3D inviscid flow field are provided by the inverse design solver.
By properly selecting the constraints and objectives, better aerodynamic performance can be achieved from the blade optimization.