Multi-response Optimization of Turning Process Parameters of Ss 304 Sheet Metal Component Using the Entropy-gra-dear

Abstract

Abstract The SS 304 turning operation machining specifications are thoroughly investigated. In order to find the optimum with parametric together for a minimal production time and an appropriate tool life, this research examines multi-objective turning process optimization. Turning factors include depth of cut, cutting speed, and feed rate. Traditional methods, such as manufacturing choices, professional judgement, and customer demands, lead to higher quality for one manufacturing using local solutions, while making concessions with the others. The ENTROPY technique eliminates the limitations of conventional practises outlined above and determines weight components based on exploratory data for each yield. Data Envelopment Analysis (DEA) and Gray Relation Analysis based ranking are the two approaches used for multi-target improvement (DEAR). The GRA system allows for the allocation of weight divisions for each yield by the challenging solution. Remember that the precision of the arrangement contrasts with the distribution of weight among the various yields. To calculate the ideal degrees of each factor and their commitments, the total values established by techniques DEAR and ENTROPY-GRA were employed.