Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology

Yan-Cherng Lin; Han-Ming Chow; Yuan-Feng Chen; Jia-Feng Liu

doi:doi:10.11648/j.ijmsa.20160506.12

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Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology

Yan-Cherng Lin, Han-Ming Chow, Yuan-Feng Chen, Jia-Feng Liu

Published in International Journal of Materials Science and Applications (Volume 5, Issue 6)

Received: 18 October 2016 Published: 19 October 2016

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Abstract

This paper aims to establish an effective mathematical model with relation to electrical discharge machining (EDM) in gas based on response surface methodology (RSM). Moreover, the optimal combination levels of machining parameters for material removal rate (MRR) and surface roughness (SR) were also explored. The experimental tasks were implemented by a specific design of experimental method named central composite design (CCD) method based on RSM to develop quadratic regression mathematical model. The significant parameters and their interactions were examined by analysis of variance (ANOVA) to evaluate the importance on MRR and SR. The essential parameters of EDM in gas such as peak current (I_p), pulse duration (T_p), air pressure (G_P) and servo reference voltage (S_v) were chosen to investigate the effects on MRR and SR. From the analysis results, the optimal set of parameter setting levels were 12 A peak current (I_p), 750 μs pulse duration (T_p), 5 kg/cm^{2^{gas pressure (G_P) and 34 V servo reference voltage (S_v), and the optimization of MRR and SR were 1.99 mm^{3^{and 2.43μm as the machining parameters were set at the optimal levels.}}}}

Published in	International Journal of Materials Science and Applications (Volume 5, Issue 6)
DOI	10.11648/j.ijmsa.20160506.12
Page(s)	241-247
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

EDM in Gas, Response Surface Methodology, Optimal Machining Parameter, Material Removal Rate, Surface Roughness

References

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[2]	Y. C. Lin, Y. F. Chen, C. T. Lin, H. J. Tzeng, “Electrical discharge machining (EDM) characteristics associated with electrical discharge energy on machining of cemented tungsten carbide,” Mater. Manuf. Process. Vol. 23, 2008, pp. 391-399.
[3]	C. H. C. Harron, B. M. Deros, A. Ginting and M. Fauziah, “Investigation on the influence of machining parameters when machining tool steel using EDM,” J. Mater. Process. Technol. Vol.116, 2001, pp. 84-87.
[4]	I. Puertas, C. J. Luis, “A study of optimization of machining parameters for electrical discharge machining of boron carbide,” Mater. Manuf. Process. Vol. 19(6), 2004, pp. 1041-1070.
[5]	Y. C. Lin, C. H. Cheng, P. L. Su, L. R. Hwang, “Machining characteristics and optimization of machining parameters of SKH 57 HSS using EDM based on Taguchi method,” Mater. Manuf. Process. Vol. 21, 2006, pp. 922-929.
[6]	M. Kiyak, O. Cakir, “Examination of machining parameters on surface roughness in EDM of tool steel,” J. Mater. Process. Technol. Vol.191, 2007, pp. 141-144.
[7]	M. Kunieda, M. Yoshida, “Electrical discharge machining in Gas,” Ann. CIRP, Vol. 46(1), 1997, pp. 143-146.
[8]	M. Kunieda, T. Takaya, S. Nakano, “Improvement of dry EDM characteristics using piezoelectric actuator,” Ann. CIRP Vol. 53(1), 2004, pp. 183-186.
[9]	Y. J. Lin, Y. C. Lin, A. C. Wang, Y. F. Chen, H. M. Chow, “Machining characteristics of EDM using gas media,” Adv. Mater. Res. Vol.189-193, 2011, pp.3132-3130.
[10]	M. Kuneida, C. Furudate, High precision finish cutting by dry WEDM, Ann. CIRP, 50(1) (2001) 121-124.
[11]	T. Wang, M. Kunieda, “Study on dry WEDMed surface layer of cold tool steel SKD 11,” Int. J. Electr. Mach. Vol. 7, 2002, pp. 3-4.
[12]	Z. Yu, T. Jun, K. Masanori, “Dry electrical discharge machining of cemented carbide,” J. Mater. Process. Technol. Vol.149, 2004, pp. 353-357.
[13]	S. S. Baraskar, S. S. Banwait, S. C. Laroiya, “Multi objective optimization of electrical discharge machining process using a hybrid method,” Mater. Manuf. Process., Vol. 28, 2013, pp. 348-354.
[14]	B. Muralidharan, H. Chelladurai, “Experimental analysis of electro-discharge deposition process,” Int. J. Adv. Manuf. Technol., Vol.76, 2015, pp.69-82.
[15]	A. P. Tiwary, B. B. Pradhan, B. Bhattacharyya, “Study on influence of micro-EDM process parameters during machining of Ti-6Al-4V superalloy,” Int. J. Adv. Manuf. Technol., Vol. 76, 2015, pp. 151-160.
[16]	V. Aggarwal, S. S. Khangura, R. K. Garg, “Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology,” Int. J. Adv. Manuf. Technol., Vol. 79, 2015, pp. 31-47.

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APA Style

Yan-Cherng Lin, Han-Ming Chow, Yuan-Feng Chen, Jia-Feng Liu. (2016). Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. International Journal of Materials Science and Applications, 5(6), 241-247. https://doi.org/10.11648/j.ijmsa.20160506.12

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ACS Style

Yan-Cherng Lin; Han-Ming Chow; Yuan-Feng Chen; Jia-Feng Liu. Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. Int. J. Mater. Sci. Appl. 2016, 5(6), 241-247. doi: 10.11648/j.ijmsa.20160506.12

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AMA Style

Yan-Cherng Lin, Han-Ming Chow, Yuan-Feng Chen, Jia-Feng Liu. Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. Int J Mater Sci Appl. 2016;5(6):241-247. doi: 10.11648/j.ijmsa.20160506.12

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@article{10.11648/j.ijmsa.20160506.12,
  author = {Yan-Cherng Lin and Han-Ming Chow and Yuan-Feng Chen and Jia-Feng Liu},
  title = {Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology},
  journal = {International Journal of Materials Science and Applications},
  volume = {5},
  number = {6},
  pages = {241-247},
  doi = {10.11648/j.ijmsa.20160506.12},
  url = {https://doi.org/10.11648/j.ijmsa.20160506.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20160506.12},
  abstract = {This paper aims to establish an effective mathematical model with relation to electrical discharge machining (EDM) in gas based on response surface methodology (RSM). Moreover, the optimal combination levels of machining parameters for material removal rate (MRR) and surface roughness (SR) were also explored. The experimental tasks were implemented by a specific design of experimental method named central composite design (CCD) method based on RSM to develop quadratic regression mathematical model. The significant parameters and their interactions were examined by analysis of variance (ANOVA) to evaluate the importance on MRR and SR. The essential parameters of EDM in gas such as peak current (Ip), pulse duration (Tp), air pressure (GP) and servo reference voltage (Sv) were chosen to investigate the effects on MRR and SR. From the analysis results, the optimal set of parameter setting levels were 12 A peak current (Ip), 750 μs pulse duration (Tp), 5 kg/cm2 gas pressure (GP) and 34 V servo reference voltage (Sv), and the optimization of MRR and SR were 1.99 mm3 and 2.43μm as the machining parameters were set at the optimal levels.},
 year = {2016}
}

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TY  - JOUR
T1  - Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology
AU  - Yan-Cherng Lin
AU  - Han-Ming Chow
AU  - Yuan-Feng Chen
AU  - Jia-Feng Liu
Y1  - 2016/10/19
PY  - 2016
N1  - https://doi.org/10.11648/j.ijmsa.20160506.12
DO  - 10.11648/j.ijmsa.20160506.12
T2  - International Journal of Materials Science and Applications
JF  - International Journal of Materials Science and Applications
JO  - International Journal of Materials Science and Applications
SP  - 241
EP  - 247
PB  - Science Publishing Group
SN  - 2327-2643
UR  - https://doi.org/10.11648/j.ijmsa.20160506.12
AB  - This paper aims to establish an effective mathematical model with relation to electrical discharge machining (EDM) in gas based on response surface methodology (RSM). Moreover, the optimal combination levels of machining parameters for material removal rate (MRR) and surface roughness (SR) were also explored. The experimental tasks were implemented by a specific design of experimental method named central composite design (CCD) method based on RSM to develop quadratic regression mathematical model. The significant parameters and their interactions were examined by analysis of variance (ANOVA) to evaluate the importance on MRR and SR. The essential parameters of EDM in gas such as peak current (Ip), pulse duration (Tp), air pressure (GP) and servo reference voltage (Sv) were chosen to investigate the effects on MRR and SR. From the analysis results, the optimal set of parameter setting levels were 12 A peak current (Ip), 750 μs pulse duration (Tp), 5 kg/cm2 gas pressure (GP) and 34 V servo reference voltage (Sv), and the optimization of MRR and SR were 1.99 mm3 and 2.43μm as the machining parameters were set at the optimal levels.
VL  - 5
IS  - 6
ER  -

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Author Information

Yan-Cherng Lin

Department of Mechanical Engineering, Nan Kai University of Technology, Nantou County, Taiwan
Han-Ming Chow

Department of Mechanical Engineering, Nan Kai University of Technology, Nantou County, Taiwan
Yuan-Feng Chen

Department of Mechanical Engineering, Nan Kai University of Technology, Nantou County, Taiwan
Jia-Feng Liu

Department of Mechanical Engineering, Nan Kai University of Technology, Nantou County, Taiwan

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Plain Text BibTeX RIS

APA Style

Yan-Cherng Lin, Han-Ming Chow, Yuan-Feng Chen, Jia-Feng Liu. (2016). Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. International Journal of Materials Science and Applications, 5(6), 241-247. https://doi.org/10.11648/j.ijmsa.20160506.12

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ACS Style

Yan-Cherng Lin; Han-Ming Chow; Yuan-Feng Chen; Jia-Feng Liu. Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. Int. J. Mater. Sci. Appl. 2016, 5(6), 241-247. doi: 10.11648/j.ijmsa.20160506.12

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AMA Style

Yan-Cherng Lin, Han-Ming Chow, Yuan-Feng Chen, Jia-Feng Liu. Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology. Int J Mater Sci Appl. 2016;5(6):241-247. doi: 10.11648/j.ijmsa.20160506.12

Copy | Download

@article{10.11648/j.ijmsa.20160506.12,
  author = {Yan-Cherng Lin and Han-Ming Chow and Yuan-Feng Chen and Jia-Feng Liu},
  title = {Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology},
  journal = {International Journal of Materials Science and Applications},
  volume = {5},
  number = {6},
  pages = {241-247},
  doi = {10.11648/j.ijmsa.20160506.12},
  url = {https://doi.org/10.11648/j.ijmsa.20160506.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20160506.12},
  abstract = {This paper aims to establish an effective mathematical model with relation to electrical discharge machining (EDM) in gas based on response surface methodology (RSM). Moreover, the optimal combination levels of machining parameters for material removal rate (MRR) and surface roughness (SR) were also explored. The experimental tasks were implemented by a specific design of experimental method named central composite design (CCD) method based on RSM to develop quadratic regression mathematical model. The significant parameters and their interactions were examined by analysis of variance (ANOVA) to evaluate the importance on MRR and SR. The essential parameters of EDM in gas such as peak current (Ip), pulse duration (Tp), air pressure (GP) and servo reference voltage (Sv) were chosen to investigate the effects on MRR and SR. From the analysis results, the optimal set of parameter setting levels were 12 A peak current (Ip), 750 μs pulse duration (Tp), 5 kg/cm2 gas pressure (GP) and 34 V servo reference voltage (Sv), and the optimization of MRR and SR were 1.99 mm3 and 2.43μm as the machining parameters were set at the optimal levels.},
 year = {2016}
}

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TY  - JOUR
T1  - Optimal Machining Parameters of EDM in Gas Based on Response Surface Methodology
AU  - Yan-Cherng Lin
AU  - Han-Ming Chow
AU  - Yuan-Feng Chen
AU  - Jia-Feng Liu
Y1  - 2016/10/19
PY  - 2016
N1  - https://doi.org/10.11648/j.ijmsa.20160506.12
DO  - 10.11648/j.ijmsa.20160506.12
T2  - International Journal of Materials Science and Applications
JF  - International Journal of Materials Science and Applications
JO  - International Journal of Materials Science and Applications
SP  - 241
EP  - 247
PB  - Science Publishing Group
SN  - 2327-2643
UR  - https://doi.org/10.11648/j.ijmsa.20160506.12
AB  - This paper aims to establish an effective mathematical model with relation to electrical discharge machining (EDM) in gas based on response surface methodology (RSM). Moreover, the optimal combination levels of machining parameters for material removal rate (MRR) and surface roughness (SR) were also explored. The experimental tasks were implemented by a specific design of experimental method named central composite design (CCD) method based on RSM to develop quadratic regression mathematical model. The significant parameters and their interactions were examined by analysis of variance (ANOVA) to evaluate the importance on MRR and SR. The essential parameters of EDM in gas such as peak current (Ip), pulse duration (Tp), air pressure (GP) and servo reference voltage (Sv) were chosen to investigate the effects on MRR and SR. From the analysis results, the optimal set of parameter setting levels were 12 A peak current (Ip), 750 μs pulse duration (Tp), 5 kg/cm2 gas pressure (GP) and 34 V servo reference voltage (Sv), and the optimization of MRR and SR were 1.99 mm3 and 2.43μm as the machining parameters were set at the optimal levels.
VL  - 5
IS  - 6
ER  -

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