Open AccessMeasurement of Process Parameters in Magneto-Rheological Fluid Assisted Cylindrical Surface Nano Finishing Process using Grey Relational Methods
Author(s) -
L. Prabhu,
Chandan Jyoti Patra,
R. Raj Jawahar,
Jishnu P Sajeev,
Dildas,
Anas Mohammed
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b4908.129219
Subject(s) - grey relational analysis , surface roughness , taguchi methods , machining , process (computing) , mechanical engineering , materials science , surface finish , response surface methodology , mathematics , computer science , engineering drawing , composite material , engineering , statistics , operating system
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.