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S. Paranthaman

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Open access 2026

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...

S. Paranthaman, Dinesch Subbiah, R. Mottaiyan et al. · 0 citations

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