Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach

Abstract The present study deals with the machining of hybrid Al 7075/B 4 C/Gr composite using Abrasive Aqua Jet Machining. effects selected input factors, i.e., water jet pressure (WJP), stand-off distance (SOD), and traverse speed (TS) on performance characteristics, namely taper angle (TA), surface roughness (Ra), material removal rate (MRR) are investigated. experimental runs test strategies formulated Response Surface Methodology-Central Composite Design approach. Analysis Variance (ANOVA) was used to examine effect factors their interactions characteristics. MRR, Ra, TA optimum condition mathematical equations were also developed. Further, multi-optimization method “Technique for Order Preference by Similarity Ideal Solution” is considered find out best combinations optimized output composite. ANOVA results confirm that among WJP SOD most significant percentage distribution found be (55.21%), (23.36%), (2.56%). multi-objective conditions (A 1 ) 210 bar, (B ), TS (C 3 30 mm/min, produce optimal values responses, MRR up 4.8703 mm /min, Ra 3.57 μm 0.189°. has improved 49.6% through when compared single parameter results. Article Highlights Hybrid Al7075/B fabricated rotary stir casting technique Experimental planning designing layouts Methodology scheme produced Expert 11.0. obtained RSM-TOPSIS approach, at a lower higher TS.