The paper presents the multi-objective optimization of the SCr445 (45X) steel turning process with input parameters: cutting speed, feed rate and depth of cut. Two optimal targets are surface roughness (SR) and material removal rate (MRR). Based on the genetic algorithm (GA) optimizing multi-objective cutting parameters simultaneously combined with Pareto search solution and optimization solution, besides along with empirical research to select the optimal cutting parameters. | Multiobjective optimization parameters of turning process of steel SCR445 using genetic algorithm
