This paper describes a robust design method for turbo machinery components. The method which uses a Navier Stokes (NS) solver, an Artificial Neural Network (ANN) and a Genetic Algorithm (GA) is applied to optimize radial micro compressor blades. Higher efficiency, less divergence from the design mass flow and smoother Mach number distributions are considered as objectives of the optimization.
Optimization of Micro Compressor Blades Using CFD Analysis and Artificial Intelligence
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Islek, AA. "Optimization of Micro Compressor Blades Using CFD Analysis and Artificial Intelligence." Proceedings of the ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. Volume 2: Symposia, Parts A, B, and C. Honolulu, Hawaii, USA. July 6–10, 2003. pp. 2139-2146. ASME. https://doi.org/10.1115/FEDSM2003-45751
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