# Researchers optimize AWJM parameters for Al6061 hybrid composites

> Source: <https://letsdatascience.com/news/researchers-optimize-awjm-parameters-for-al6061-hybrid-compo-169dd902>
> Published: 2026-06-29 00:00:00+00:00

Editorial analysis: For ML practitioners applying supervised models to manufacturing processes, this paper demonstrates a compact workflow that pairs regression models with multi-criteria optimization to predict and tune abrasive water jet machining outcomes. According to a Scientific Reports preprint published 29 June 2026, the study evaluates **AWJM** performance of an **Al6061-0.5 wt.% B4C-1 wt.% ZrO2 hybrid composite** fabricated using ultrasonic-assisted stir casting. The article reports experimental ranges of material removal rate (MRR) **7.86 to 15.24 mm^3/min**, surface roughness (Ra) **3.220 to 3.980 um**, and kerf taper angle (KTA) **0.142 degrees to 0.309 degrees**. ANOVA results reported that abrasive flow rate (AFR) dominated MRR while abrasive jet cutting speed (AJCS) governed Ra and KTA. The paper applies a hybrid Grey Relational Analysis-Analytic Hierarchy Process (GRA-AHP) to optimize multiple objectives and develops `SVR`, `RF`, and `MLP` models to predict MRR, Ra, and KTA; the reported optimal AWJM setting was AFR **430 g/min**, WJP **280 MPa**, AJCS **80 mm/min**, SOD **1.5 mm**, and grit size **120 mesh**.