applied sciences Article Prediction of Non-Uniform Distorted Flows, Effects on Transonic Compressor Using CFD, Regression Analysis and Artificial Neural Networks Muhammad Umer Sohail 1,2,* , Hossein Raza Hamdani 2, Asad Islam 3,4 , Khalid Parvez 2, Abdul Munem Khan 2, Usman Allauddin 5, Muhammad Khurram 1 and Hassan Elahi 6 1 Department of Mechanical Engineering, National University of Technology, Islamabad 44000, Pakistan;
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[email protected] (K.P.);
[email protected] (A.M.K.) 3 School of Energy and Power Engineering, Beihang University, Beijing 100191, China;
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[email protected]; Tel.: +92-344-5266-876 Featured Application: Development of a transonic compressor instability prediction tool un- der distorted inlet flow conditions using extensive CFD runs for a supervised learning dataset. Citation: Sohail, M.U.; Hamdani, ANN with optimal algorithm and different regression learning has been selected to produce all- H.R.; Islam, A.; Parvez, K.; Khan, inclusive transonic compressor rotor performance and behavior at different inlet conditions. A.M.; Allauddin, U.; Khurram, M.; Elahi, H. Prediction of Non-Uniform Abstract: Non-uniform inlet flows frequently occur in aircrafts and result in chronological distortions Distorted Flows, Effects on Transonic of total temperature and total pressure at the engine inlet.