Measurement of Process Parameters in Magneto-Rheological Fluid Assisted Cylindrical Surface Nano Finishing Process using Grey Relational Methods
Prabhu. L1, Chandan jyoti patra2, Raj Jawahar3, Jishnu P Sajeev4, Dildas5, Mohammed Anas6
1L.Prabhu*, Professor, Department of Mechanical Engineering, Aarupadai veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
2Chandan Jyoti Patra, PG Scholar, Department of Mechanical Engineering, Aarupadai veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
3Raj Jawahar, Entrepreneur of Dynamechz Research Labz, India.
4Jishnu P Sajeev, UG Scholar, Department of Mechanical Engineering, Aarupadai veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
5Dildas, UG Scholar, Department of Mechanical Engineering, Aarupadai veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
6Mohammed Anas, UG Scholar, Department of Mechanical Engineering, Aarupadai veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3394-3400 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B4908129219/2019©BEIESP | DOI: 10.35940/ijeat.B4908.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Cylindrical surface finish, Magneto rheological fluid, AISI 304L austenitic stainless steel, Genetic algorithm, ANOVA, Microstructure study.