Machine learning prediction and hybrid GRA–AHP optimization of AWJM parameters of ultrasonic assisted stir cast Al6061–B$$_4$$C–ZrO$$_2$$ composites (opens in new tab)

This study investigates the abrasive water jet machining (AWJM) performance of an Al6061–0.5 wt.% B$$_4$$C–1 wt.% ZrO$$_2$$ hybrid composite fabricated using ultrasonic-assisted stir casting. A Taguchi L27 orthogonal array was adopted to systematically evaluate the effects of five machining parameters, namely abrasive flow rate (AFR), water jet pressure (WJP), abrasive jet cutting speed (AJCS), stand-off distance (SOD), and abrasive grit size (GS) each at three levels. Material removal rate (...