Multiobjective Optimization of Chemically Assisted Magnetic Abrasive Finishing (MAF) on Inconel 625 Tubes Using Genetic Algorithm: Modeling and Microstructural Analysis
Gurpreet Singh,
Harish Kumar,
Harmesh Kumar Kansal,
Kamal Sharma,
Raman Kumar,
Jasgurpreet Singh Chohan,
Sandeep Singh,
Shubham Sharma,
Changhe Li,
Grzegorz Królczyk,
Jolanta B. Królczyk
Affiliations
Gurpreet Singh
Department of Mechanical Engineering, Chandigarh University, Mohali 140413, India
Harish Kumar
Department of Mechanical Engineering, Chandigarh University, Mohali 140413, India
Harmesh Kumar Kansal
Department of Mechanical Engineering, University Institute of Engineering and Technology, Chandigarh 160023, India
Kamal Sharma
Institute of Engineering and Technology, GLA University, Mathura 281406, India
Raman Kumar
Mechanical Engineering Department, University Center for Research & Development, Chandigarh University, Mohali 140413, India
Jasgurpreet Singh Chohan
Mechanical Engineering Department, University Center for Research & Development, Chandigarh University, Mohali 140413, India
Sandeep Singh
Department of Civil Engineering, University Center for Research and Development, Chandigarh University, Mohali 140413, India
Shubham Sharma
Mechanical Engineering Department, University Center for Research & Development, Chandigarh University, Mohali 140413, India
Changhe Li
School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China
Grzegorz Królczyk
Department of Manufacturing and Materials Engineering, Faculty of Mechanical Engineering, Opole University of Technology, Mikolajczyka 5, 45-271 Opole, Poland
Jolanta B. Królczyk
Department of Manufacturing and Materials Engineering, Faculty of Mechanical Engineering, Opole University of Technology, Mikolajczyka 5, 45-271 Opole, Poland
The demand for the surface integrity of complex structures is drastically increasing in the field of aerospace, marine and automotive industry. Therefore, Inconel alloy, due to its superior attributes, has a wide scope for the improvement in surface integrity. To achieve the precise surface finish and enhance the process performance, process optimization is necessary. In current paper, chemically assisted MAF process parameters were optimized using the genetic algorithm (GA) approach during finishing of Inconel 625 tubes. Regression models were developed for improvement in internal surface finish (PIISF), improvement in external surface finish (PIESF), and material removal (MR) using Design expert software. Then, the surface microstructure of Inconel 625 tubes was analyzed using scanning electron microscopy (SEM). ANOVA analysis predicts that processing time and abrasive size have the highest percentage contribution in improving the surface finish and material removal. Multioptimization results suggested to set the level of processing time (A) at 75 min, surface rotational speed (B) at 60 RPM, weight % of abrasives (C) at 30%, chemical concentration (D) at 500 gm/lt and abrasive size (E) at 40 microns to obtain optimal parameters for PIISF, PIESF and MR responses.
