Prediction of Non-Uniform Distorted Flows, Effects on Transonic Compressor Using CFD, Regression Analysis and Artificial Neural Networks

Resumen

Development of a transonic compressor instability prediction tool under distorted inlet flow conditions using extensive CFD runs for a supervised learning dataset. ANN with optimal algorithm and different regression learning has been selected to produce all-inclusive transonic compressor rotor performance and behavior at different inlet conditions.