Multi Response Optimization of Machining Parameters for Turning Stainless Steel Using Coated Tools

Abstract

Stainless steels are used in aerospace, automotive, marine applications, because of resistant to corrosion and maintaining their mechanical properties over a wide range of temperature. Stainless steels are generally difficult to machine due to their high strength. The machining parameters which are affecting the quality of turning operation, it is necessary to optimize the machining parameters to obtain better productivity. The aim of the study is to investigate the influence of different coated tools on austenitic stainless steel (AISI316) and martensitic stainless steel (AISI410) in CNC turning under dry conditions. Multi response optimization of machining parameters was performed using coated with TiCN/Al2O3, TiAlN, Ti (C, N, B) using grey relational analysis.

Multi-response optimization of turning parameters for machining glass fiber–reinforced plastic composite rod

“…They have also made an attempt to model the SR and material removal rate using principal component analysis to determine the influence of cutting parameters on UD-GFRP composite with PCD tool. 12 Chandrasekaran et al 13 have applied grey relational analysis (GRA) for multi-response optimization of machining parameters for turning stainless steel. Kumar et al 14 used Distance-Based Pareto Genetic Algorithm (DBPGA) approach to optimize tangential and feed force while turning UD-GFRP composite with various process parameters including feed rate, cutting speed, and depth of cut and investigated the influencing factor.…”