Statistical optimization of stress level in Mg-Li-Al alloys upon hot compression testing

In the present study, a response optimization method using Extreme Vertices Mixer Design (EVMD) approach is proposed for stress optimization in a thermomechanically processed Mg-Li-Al alloy. Experimentation was planned as per mixed design proportions of Mg, Li and Al and process variables (i.e. temperature and strain rate). Each experiment has been performed under different conditions of factors proportions and process variables. The response, particularly stress has been considered for each experiment. The response is optimized to find an optimum condition when the contributing factors influence material characteristics in such a way, to achieve better strength, ductility and corrosion resistance. Estimated regression coefficient table for response has been observed to identify the important factors in this process and significantly high variance inflation factor has been observed. Most importantly, an optimum condition is achieved from this analysis which fulfills the experimental observations and theoretical assumptions. (C) 2019 Published by Elsevier B.V. on behalf of Chongqing University.