Deep learning neural network–based prediction of abrasive water jet machining performance and surface roughness of DMR249A steel
ABSTRACT Abrasive waterjet machining (AWJM) is increasingly adopted for precision cutting of high-strength steels; however, accurate prediction of machining responses remains challenging due to complex nonlinear interactions among process parameters. This study aims to develop a reliable data-driven framework for predi...