Turbomachinery Design: Checking Artificial Neural Networks Suitability for Design Automation
Niccolo' Batini,
Niccolo Becattini,
Gaetano Cascini
Abstract:This paper explores the suitability of Artificial Neural Networks (ANNs) as an enabler of Design Automation in the turbomachinery industry. Specifically, the paper provides 1) a preliminary estimation of the effectiveness of ANNs to define values for design variables of reciprocating compressors (RC) and 2) a comparison of ANNs performance with traditional and more computationally demanding methods like CFD. A tailored ANN trained on a dataset composed by 350+ Baker Hughes’ RC automatically assigns values to 8… Show more
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