Parametric Optimization of Ball End Magneto Rheological Finishing Process on EN-31
Shashikant Pandey1, Suman Kant2, Vinod Mishra3, Neha Khatri4, Sarepaka.V.Ramagopal5
1Mr.Shashikant Pandey, M.E. Student, Department of production Engineering, PEC University of technology Chandigarh India.
2Dr. Suman Kant, Assistant professor, Department of production Engineering, PEC University of technology Chandigarh India.
3Mr. Vinod Mishra, M.E. Student, Department of Mechanical Engineering, PEC university of technology, Chandigarh India.
4Mrs. Neha Khatri, Department of CSIO, Central Scientific Instruments Organization, Chandigarh India.
4Dr.Sarepaka.V.Ramagopal, Department of CSIO, Central Scientific Instruments Organization, Chandigarh India.
5V.Ramagopal, Department of CSIO, Central Scientific Instruments Organization, Chandigarh India.
Manuscript received on 21 May 2013 | Revised Manuscript received on 28 May 2013 | Manuscript published on 30 May 2013 | PP: 164-169 | Volume-2 Issue-2, May 2013 | Retrieval Number: B0638052213/2013©BEIESP
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Abstract: This work is concerned to explore the effect of process parameters of the ball end magnetorheologial finishing on the magnetic work piece to achieve nanofinishing. Magnetizing Current, working gap and Nozzle speed have been considered as input parameters; however percent improvement in surface roughness considered as an outcome of the process. In Present work the experiments have been carried out with above mentioned input process parameters with the help of the standard L9 orthogonal array of Taguchi .The measurement of the surface roughness is taken with the help of contact type Contact Mechanical Profiler PGI 120. Experimental data has been analyzed by using pooled anova for finding the contribution of input parameters, and further searching best input values to obtain optimal/near optimal output value. In the end a generic input-output relation has been developed using regression analysis to predict output value for newer input values.
Keywords: Magneto Rheological Finishing, Surface Roughness, Taguchi Method, ANOVA, Regression Model
Scope of the Article: Design Optimization of Structures