Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel

Alankar Patni; Ashok Keche; Hanumant Dharmadhikari

doi:doi:10.11648/j.ajmie.20160103.24

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Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel

Alankar Patni, Ashok Keche, Hanumant Dharmadhikari

Published in American Journal of Mechanical and Industrial Engineering (Volume 1, Issue 3)

Received: 5 October 2016 Accepted: 15 October 2016 Published: 14 November 2016

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Abstract

The triangular shape graphite electrode materials have been utilized in the electric discharge machining by considering this objective, the parameters discharge current, pulse time, and voltage considered as input parameters and EWR, MRR, and Ra value as output parameters to perform machining on AISI 316 steel in EDM. The experimentation performed on the commercial EDM machine by considering the number of runs which was defined by the DOE Taguchi method. By using regression analysis, the different correlations were formed in between discharge current, pulse time, and voltage i.e. input parameters and EWR, MRR, and Ra value i.e. output parameters. The individual as well as combined correlations are formed in between input and output parameters. The result analysis shows the co-relation between runs and the estimated and experimental values for the different output parameters. The conclusion shows that the final equation for different output parameters would be able to predict EWR with accuracy of 97.09%, MRR with accuracy 99.39%, and Ra with accuracy of 99.51%.

Published in	American Journal of Mechanical and Industrial Engineering (Volume 1, Issue 3)
DOI	10.11648/j.ajmie.20160103.24
Page(s)	115-122
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Electric Discharge Machining, Triangular Shape Graphite Electrode, AISI 316 Steel, Taguchi, Regression

References

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[2]	Gopalakannan, S., & Senthilvelan, T. (2012). Effect of Electrode Materials on Electric Discharge Machining of 316 L and 17 -4 PH Stainless Steels. Journal of Minerals and Materials Characterization and Engineering, 11 (07), 685.
[3]	Patni A. B, Dharmadhikari H. M. Experimental investigation and optimization of Ra value, EWR and MRR in electric discharge machining (IOSR-JMCE), PP 62-70.
[4]	Makwana, A. V., & Banker, K. S. An Electrode Shape Configuration on the Performance of Die Sinking Electric Discharge Machine (EDM): A Review.
[5]	Natarajan, N., & Arunachalam, R. M. (2011). Experimental investigations and optimisation of process parameters in micro-EDM with multiple performance characteristics. International Journal of Experimental Design and Process Optimisation, 2 (4), 336-356. Banker, K. S., Oza, A. D., & Dave, R. B. Performance Capabilities of EDM machining using Aluminium, Brass and Copper for AISI 304L Material.
[6]	Choudhary, S. K., & Jadoun, R. S. (2014). Current Advanced Research Development of Electric Discharge Machining (EDM): A Review. International Journal of Research in Advent Technology, 2 (3).
[7]	Sundaram, C. M., Sivasubramanian, R., & Sivakumar, M. (2013, December). An Experimental Investigation on Machining Parameters of Electrical Discharge Machining of OHNS Steel. In International Journal of Engineering Research and Technology (Vol. 2, No. 12 (December-2013)). ESRSA Publications.
[8]	Tomadi, S. H., Hassan, M. A., Hamedon, Z., Daud, R., & Khalid, A. G. (2009, March). Analysis of the influence of EDM parameters on surface quality, material removal rate and electrode wear of tungsten carbide. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 2, pp. 18-20).
[9]	Chen, D. C., Jhang, J. J., & Guo, M. W. (2013). Application of Taguchi design method to optimize the electrical discharge machining. Journal of Achievements in Materials and Manufacturing Engineering, 57 (2), 76-82.
[10]	Gopalakannan, S., & Senthilvelan, T. (2012). Effect of Electrode Materials on Electric Discharge Machining of 316 L and 17-4 PH Stainless Steels. Journal of Minerals and Materials Characterization and Engineering, 11 (07), 685.
[11]	Purohit, R., Verma, C. S., & Shekhar, P. (2012). Electric discharge machining of 7075al-10 wt. % SiCp composites using rotary tube brass electrodes. Composites, 2 (2), 411-423.
[12]	Khan, a. R., Ahmad, M. A., Munir, N., &Butt, Z. R. (2015). Influence of electrode material on quality of blind holes machined via electric discharge machine (die sinker).
[13]	Boujelbene, M., Bayraktar, E., Tebni, W., & Salem, S. B. (2009). Influence of machining parameters on the surface integrity in electrical discharge machining. Archives of Materials Science and Engineering, 37 (2), 110-116.
[14]	Gurjar, S. K., & Kumar, R. (2015). Optimization of MRR and TWR on EDM by using Taguchi's Method and ANOVA Die Steel H13. International Journal for Innovative Research in Science and Technology, 2 (3), 22-28.

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APA Style

Alankar Patni, Ashok Keche, Hanumant Dharmadhikari. (2016). Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. American Journal of Mechanical and Industrial Engineering, 1(3), 115-122. https://doi.org/10.11648/j.ajmie.20160103.24

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ACS Style

Alankar Patni; Ashok Keche; Hanumant Dharmadhikari. Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. Am. J. Mech. Ind. Eng. 2016, 1(3), 115-122. doi: 10.11648/j.ajmie.20160103.24

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AMA Style

Alankar Patni, Ashok Keche, Hanumant Dharmadhikari. Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. Am J Mech Ind Eng. 2016;1(3):115-122. doi: 10.11648/j.ajmie.20160103.24

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@article{10.11648/j.ajmie.20160103.24,
  author = {Alankar Patni and Ashok Keche and Hanumant Dharmadhikari},
  title = {Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel},
  journal = {American Journal of Mechanical and Industrial Engineering},
  volume = {1},
  number = {3},
  pages = {115-122},
  doi = {10.11648/j.ajmie.20160103.24},
  url = {https://doi.org/10.11648/j.ajmie.20160103.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20160103.24},
  abstract = {The triangular shape graphite electrode materials have been utilized in the electric discharge machining by considering this objective, the parameters discharge current, pulse time, and voltage considered as input parameters and EWR, MRR, and Ra value as output parameters to perform machining on AISI 316 steel in EDM. The experimentation performed on the commercial EDM machine by considering the number of runs which was defined by the DOE Taguchi method. By using regression analysis, the different correlations were formed in between discharge current, pulse time, and voltage i.e. input parameters and EWR, MRR, and Ra value i.e. output parameters. The individual as well as combined correlations are formed in between input and output parameters. The result analysis shows the co-relation between runs and the estimated and experimental values for the different output parameters. The conclusion shows that the final equation for different output parameters would be able to predict EWR with accuracy of 97.09%, MRR with accuracy 99.39%, and Ra with accuracy of 99.51%.},
 year = {2016}
}

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TY  - JOUR
T1  - Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel
AU  - Alankar Patni
AU  - Ashok Keche
AU  - Hanumant Dharmadhikari
Y1  - 2016/11/14
PY  - 2016
N1  - https://doi.org/10.11648/j.ajmie.20160103.24
DO  - 10.11648/j.ajmie.20160103.24
T2  - American Journal of Mechanical and Industrial Engineering
JF  - American Journal of Mechanical and Industrial Engineering
JO  - American Journal of Mechanical and Industrial Engineering
SP  - 115
EP  - 122
PB  - Science Publishing Group
SN  - 2575-6060
UR  - https://doi.org/10.11648/j.ajmie.20160103.24
AB  - The triangular shape graphite electrode materials have been utilized in the electric discharge machining by considering this objective, the parameters discharge current, pulse time, and voltage considered as input parameters and EWR, MRR, and Ra value as output parameters to perform machining on AISI 316 steel in EDM. The experimentation performed on the commercial EDM machine by considering the number of runs which was defined by the DOE Taguchi method. By using regression analysis, the different correlations were formed in between discharge current, pulse time, and voltage i.e. input parameters and EWR, MRR, and Ra value i.e. output parameters. The individual as well as combined correlations are formed in between input and output parameters. The result analysis shows the co-relation between runs and the estimated and experimental values for the different output parameters. The conclusion shows that the final equation for different output parameters would be able to predict EWR with accuracy of 97.09%, MRR with accuracy 99.39%, and Ra with accuracy of 99.51%.
VL  - 1
IS  - 3
ER  -

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Author Information

Alankar Patni

Department of Mechanical Engineering, Maharashtra Institute of Technology, Aurangabad, India
Ashok Keche

Department of Mechanical Engineering, Maharashtra Institute of Technology, Aurangabad, India
Hanumant Dharmadhikari

Department of Mechanical Engineering, Maharashtra Institute of Technology, Aurangabad, India

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Plain Text BibTeX RIS

APA Style

Alankar Patni, Ashok Keche, Hanumant Dharmadhikari. (2016). Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. American Journal of Mechanical and Industrial Engineering, 1(3), 115-122. https://doi.org/10.11648/j.ajmie.20160103.24

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ACS Style

Alankar Patni; Ashok Keche; Hanumant Dharmadhikari. Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. Am. J. Mech. Ind. Eng. 2016, 1(3), 115-122. doi: 10.11648/j.ajmie.20160103.24

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AMA Style

Alankar Patni, Ashok Keche, Hanumant Dharmadhikari. Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel. Am J Mech Ind Eng. 2016;1(3):115-122. doi: 10.11648/j.ajmie.20160103.24

Copy | Download

@article{10.11648/j.ajmie.20160103.24,
  author = {Alankar Patni and Ashok Keche and Hanumant Dharmadhikari},
  title = {Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel},
  journal = {American Journal of Mechanical and Industrial Engineering},
  volume = {1},
  number = {3},
  pages = {115-122},
  doi = {10.11648/j.ajmie.20160103.24},
  url = {https://doi.org/10.11648/j.ajmie.20160103.24},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmie.20160103.24},
  abstract = {The triangular shape graphite electrode materials have been utilized in the electric discharge machining by considering this objective, the parameters discharge current, pulse time, and voltage considered as input parameters and EWR, MRR, and Ra value as output parameters to perform machining on AISI 316 steel in EDM. The experimentation performed on the commercial EDM machine by considering the number of runs which was defined by the DOE Taguchi method. By using regression analysis, the different correlations were formed in between discharge current, pulse time, and voltage i.e. input parameters and EWR, MRR, and Ra value i.e. output parameters. The individual as well as combined correlations are formed in between input and output parameters. The result analysis shows the co-relation between runs and the estimated and experimental values for the different output parameters. The conclusion shows that the final equation for different output parameters would be able to predict EWR with accuracy of 97.09%, MRR with accuracy 99.39%, and Ra with accuracy of 99.51%.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Experimental Investigation and Modelling of EWR, Ra and MRR in Electric Discharge Machining of AISI 316 Steel
AU  - Alankar Patni
AU  - Ashok Keche
AU  - Hanumant Dharmadhikari
Y1  - 2016/11/14
PY  - 2016
N1  - https://doi.org/10.11648/j.ajmie.20160103.24
DO  - 10.11648/j.ajmie.20160103.24
T2  - American Journal of Mechanical and Industrial Engineering
JF  - American Journal of Mechanical and Industrial Engineering
JO  - American Journal of Mechanical and Industrial Engineering
SP  - 115
EP  - 122
PB  - Science Publishing Group
SN  - 2575-6060
UR  - https://doi.org/10.11648/j.ajmie.20160103.24
AB  - The triangular shape graphite electrode materials have been utilized in the electric discharge machining by considering this objective, the parameters discharge current, pulse time, and voltage considered as input parameters and EWR, MRR, and Ra value as output parameters to perform machining on AISI 316 steel in EDM. The experimentation performed on the commercial EDM machine by considering the number of runs which was defined by the DOE Taguchi method. By using regression analysis, the different correlations were formed in between discharge current, pulse time, and voltage i.e. input parameters and EWR, MRR, and Ra value i.e. output parameters. The individual as well as combined correlations are formed in between input and output parameters. The result analysis shows the co-relation between runs and the estimated and experimental values for the different output parameters. The conclusion shows that the final equation for different output parameters would be able to predict EWR with accuracy of 97.09%, MRR with accuracy 99.39%, and Ra with accuracy of 99.51%.
VL  - 1
IS  - 3
ER  -

Copy | Download