This study demonstrates that combining automated geometry, CFD simulations, and machine learning provides a powerful and computationally efficient approach for radial turbine rotor optimization, offering a practical pathway for achieving significant performance gains in turbomachinery applications.
Mostafa A Fawaz, Ahmed F. Aiad, Mohammed M Shahin et al.· Journal of Physics, Conferen...· 0 citations
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