Experimental and computational studies on characteristics of indigenously produced novel Aegle marmelos micro polymer reinforced aluminum composites using powder metallurgy

Abstract

In recent times, the quest for an advanced composite material (polymer reinforcement in metal matrix) has become a challenge for promising industrial and household applications. Therefore, the present study focuses on the indigenous production of a novel microparticle-based Aegle marmelos natural polymer reinforced (AMNPR) aluminum composites using the powder metallurgy (P/M) technique. The results revealed that the reinforcement (AMNP) concentration had a considerable effect on the physico-mechanical, thermal, and chemical characteristics of composites. Further, in this study, TOPSIS coupled with the CRITIC method (CRITIC-TOPSIS) is adopted to convert the multiple characteristics into a closeness coefficient (Ci) response. The optimal parameters are found to be reinforcement - 20 wt. %, ball milling duration - 180 min, and speed - 300 rpm. Moreover, the Ci values predicted by the artificial neural network (ANN) model are in good agreement with the experimental values having a mean absolute error of 4.116 %. © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2025.