Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode

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SAMINATHARAJA, Duraisivam ;PERIYAKGOUNDER, Suresh ;SELVARAJ, Mahalingam ;ELANGANDHI, Jamuna .
Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 67, n.11, p. 547-556, november 2021. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/>. Date accessed: 29 nov. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2021.7254.
Saminatharaja, D., Periyakgounder, S., Selvaraj, M., & Elangandhi, J.
(2021).
Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode.
Strojniški vestnik - Journal of Mechanical Engineering, 67(11), 547-556.
doi:http://dx.doi.org/10.5545/sv-jme.2021.7254
@article{sv-jmesv-jme.2021.7254,
	author = {Duraisivam  Saminatharaja and Suresh  Periyakgounder and Mahalingam  Selvaraj and Jamuna  Elangandhi},
	title = {Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {11},
	year = {2021},
	keywords = {powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis},
	abstract = {Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.},
	issn = {0039-2480},	pages = {547-556},	doi = {10.5545/sv-jme.2021.7254},
	url = {https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/}
}
Saminatharaja, D.,Periyakgounder, S.,Selvaraj, M.,Elangandhi, J.
2021 November 67. Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 67:11
%A Saminatharaja, Duraisivam 
%A Periyakgounder, Suresh 
%A Selvaraj, Mahalingam 
%A Elangandhi, Jamuna 
%D 2021
%T Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode
%B 2021
%9 powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis
%! Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode
%K powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis
%X Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.
%U https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/
%0 Journal Article
%R 10.5545/sv-jme.2021.7254
%& 547
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 67
%N 11
%@ 0039-2480
%8 2021-11-25
%7 2021-11-25
Saminatharaja, Duraisivam, Suresh  Periyakgounder, Mahalingam  Selvaraj, & Jamuna  Elangandhi.
"Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode." Strojniški vestnik - Journal of Mechanical Engineering [Online], 67.11 (2021): 547-556. Web.  29 Nov. 2021
TY  - JOUR
AU  - Saminatharaja, Duraisivam 
AU  - Periyakgounder, Suresh 
AU  - Selvaraj, Mahalingam 
AU  - Elangandhi, Jamuna 
PY  - 2021
TI  - Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7254
KW  - powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis
N2  - Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.
UR  - https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/
@article{{sv-jme}{sv-jme.2021.7254},
	author = {Saminatharaja, D., Periyakgounder, S., Selvaraj, M., Elangandhi, J.},
	title = {Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {11},
	year = {2021},
	doi = {10.5545/sv-jme.2021.7254},
	url = {https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/}
}
TY  - JOUR
AU  - Saminatharaja, Duraisivam 
AU  - Periyakgounder, Suresh 
AU  - Selvaraj, Mahalingam 
AU  - Elangandhi, Jamuna 
PY  - 2021/11/25
TI  - Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 67, No 11 (2021): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7254
KW  - powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis
N2  - Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.
UR  - https://www.sv-jme.eu/article/performance-study-of-edm-process-parameters-using-tic-zrsio4-particulates-reinforced-copper-composite-electrode/
Saminatharaja, Duraisivam, Periyakgounder, Suresh, Selvaraj, Mahalingam, AND Elangandhi, Jamuna.
"Performance Study of EDM Process Parameters Using TiC/ZrSiO4 Particulate-Reinforced Copper Composite Electrode" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 67 Number 11 (25 November 2021)

Authors

Affiliations

  • The Kavery Engineering College, Department of Mechanical Engineering, India 1
  • Sona College of Technology (Autonomous), Department of Mechatronics Engineering, India 2
  • Sona College of Technology (Autonomous), Department of Mechanical Engineering, India 3

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 67(2021)11, 547-556

https://doi.org/10.5545/sv-jme.2021.7254

Electrical discharge machines (EDM) are widely employed in machining components containing complex profiles of hard-to-cut and machining materials. However, the fabrication-of-tool time for the EDM process is excessively high in the traditional machining method, which significantly affects the machining rate. Therefore, in this paper, a powder metallurgy (PM) technique is employed to fabricate the tool electrode using copper (Cu), titanium carbide (TiC), and zirconium silicate (ZrSiO4) for different combinations. An L18 orthogonal array (OA) is planned using the following input parameters: three types of tools (Cu, Cu90, Cu80), peak current (PC) [A], pulse on time (PT) [µs], and gap voltage (GV) [V]. The performance of EDM is evaluated through the material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). The process parameters are optimized using two different techniques: the technique for order of preference by similarity to the ideal solution (TOPSIS) and grey relational analysis (GRA). TOPSIS and GRA optimization techniques produce the same optimal parametric solution for less TWR, SR, and higher MRR with the combination of the Cu90 tool, E8 APC, 15 µs pulse PT, and 75 V GV. Based on the ANOVA table of TOPSIS, pulse on time plays a major role, contributing 46.8 % of the machining performance; peak current shows the most significant contribution of 39.3 % of the machining performance using GRA values. Furthermore, the scanning electron microscope (SEM) image analyses are carried out on the machined workpiece surface to understand the effect of tools on machining quality.

powder metallurgy, composite tool, copper, electrical discharge machine, technique for order of preference by similarity to ideal solution, grey relational analysis