Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology
Abstract & Details
Research Area
Mechanical Engineering
Keywords
Electrical Discharge Machining
Process Optimization
MRR
TWR
SR
Response Surface Methodology
Abstract
This work proposes an optimization methodology for the selection of optimum process parameters in electric discharge machining. In today’s competitive environment, the industries around the world are trying to increase their profits without increasing the sales price of their products. This can only be done through minimizing the losses that are occurring during production. In this work the Titanium super alloy and copper are used as work piece and tool electrode. Regular cutting experiments are carried out on die-sinking machine under different conditions of process parameters. The process model is formed by using central composite design using reputed literature data. This model is occupied to simultaneously maximize the material removal rate as well as minimize the tool wear rate and surface roughness using response surface methodology from Minitab 17.0 software. Finally, flexibility of method is compared with literature results. All results are shown in the form of tables and figures.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Kamal Kishore Rathore | Christian College of Engineering and Technology |
| 2 | Ganpat Lal Rakesh | Christian College of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Rathore, Kamal Kishore & Rakesh, Ganpat Lal (2018). Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 325-330.
MLA Style
Rathore, Kamal Kishore, and Ganpat Lal Rakesh. "Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 325-330.
IEEE Style
Kamal Kishore Rathore and Ganpat Lal Rakesh, "Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 325-330, 2018.
Vancouver Style
Rathore Kamal Kishore, Rakesh Ganpat Lal. Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):325-330.
Harvard Style
Rathore, Kamal Kishore & Rakesh, Ganpat Lal (2018) 'Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 325-330.
Chicago Style
Rathore, Kamal Kishore and Ganpat Lal Rakesh. "Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 325-330.
Turabian Style
Rathore, Kamal Kishore and Ganpat Lal Rakesh. "Optimization of EDM Process Parameters For MRR, TWR and SR Using Response Surface Methodology." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 325-330.
Related Research
Designing And Manufacturing Of Mecanum Wheel
PDF Unavailable
Experimental, Design and Development of different punch and die for head light reflectors
PDF Unavailable
Experimental Analysis of Aluminium Hybrid Material using Analytical and Experimental Method
PDF Unavailable
Effect of Slight Pitch Difference on the Fatigue Life of Bolt
PDF Unavailable