Optimization of Turning Process Parameters Using Entropy-Gra and Dear Methods

Abstract

The advantage of amalgamating particles reinforced with metal matrix composites is enhancing their physical and mechanical properties. The objective of this study is to conduct the machining operation on the developed composite using single point cutting tool on lathe machine and to investigate the influence of machining process parameters on surface roughness and material removal rate. To identify the best optimal machining parameters the authors implemented two approaches that is, multi-objective optimization of Grey relational analysis (GRA) and Data Envelopment Analysis based Ranking (DEAR). The methodology of GRA allows the problem solver to assign weight fractions for each output. Further, the accuracies of the solution differ with the fractions of weight allocated to each output. The aggregate values calculated by the method ENTROPY-GRA and DEAR were used to determine optimum levels of factor and their contributions. The optimum levels calculated by the DEAR method performed better to access machining quality characteristics.