Measurement of Process Parameters in Magneto-Rheological Fluid Assisted Cylindrical Surface Nano Finishing Process using Grey Relational Methods

Abstract

Techniques for the analysis of machining parameters on cylindrical surface finish of 304L stainless steel with multiple response. It depends on quadratic pattern - (GRG) Grey Relational Grade is proposed in this paper. In this work, optimized the machining parameters such as working gap, Work-Piece Speed (WPS), and wheel speed rate and flew value are concluded the various responses such as Material Removal Rate (MRR), Normal Force (F-N), and surface roughness (Ra). Optimal process parameter is determined by Taguchi concept utilizing the GRG the performance index. And value of GRG used to recognize parameters optimum level. A antecedent of Variance (ANOVA) is used to resolve the augmentation of aspect r.