Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG

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SARAVANAN, Kandasamy Ganesan ;THANIGAIVELAN, Rajasekaran .
Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 67, n.10, p. 525-533, october 2021. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/>. Date accessed: 27 jan. 2022. 
doi:http://dx.doi.org/10.5545/sv-jme.2021.7246.
Saravanan, K., & Thanigaivelan, R.
(2021).
Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG.
Strojniški vestnik - Journal of Mechanical Engineering, 67(10), 525-533.
doi:http://dx.doi.org/10.5545/sv-jme.2021.7246
@article{sv-jmesv-jme.2021.7246,
	author = {Kandasamy Ganesan  Saravanan and Rajasekaran  Thanigaivelan},
	title = {Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {10},
	year = {2021},
	keywords = {laser, micro-dimple, principal component analysis, grey relational grade, stainless steel},
	abstract = {Stainless steel (SS316L) is applied in numerous fields due to its intrinsic properties. In this study, micro-dimples were fabricated on SS316L. The effects of laser process parameters, such as frequency, average power, and pulse duration, on the average dimple diameter, dimple distance, and dimple depth were studied using an L9 orthogonal array. The analysis of variance (ANOVA) and multi-objective optimization technique, principal-component-analysis-coupled grey relational grade (GRG), was used to optimize laser process parameters on output responses. The optimal machining parameter settings obtained for the highest GRG peak value of 0.2642 are 15 kHz (frequency), 12 W (average power), and 1500 ns (pulse duration). The ANOVA results showed that average power is the most influential factor, contributing 86.40 % to performance measures (average dimple diameter (φ), dimple distance (d), and depth (l). Moreover, the effect of process parameters was studied using mean effect plots, and the micro-dimple quality was analysed using SEM micrographs.},
	issn = {0039-2480},	pages = {525-533},	doi = {10.5545/sv-jme.2021.7246},
	url = {https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/}
}
Saravanan, K.,Thanigaivelan, R.
2021 October 67. Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 67:10
%A Saravanan, Kandasamy Ganesan 
%A Thanigaivelan, Rajasekaran 
%D 2021
%T Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG
%B 2021
%9 laser, micro-dimple, principal component analysis, grey relational grade, stainless steel
%! Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG
%K laser, micro-dimple, principal component analysis, grey relational grade, stainless steel
%X Stainless steel (SS316L) is applied in numerous fields due to its intrinsic properties. In this study, micro-dimples were fabricated on SS316L. The effects of laser process parameters, such as frequency, average power, and pulse duration, on the average dimple diameter, dimple distance, and dimple depth were studied using an L9 orthogonal array. The analysis of variance (ANOVA) and multi-objective optimization technique, principal-component-analysis-coupled grey relational grade (GRG), was used to optimize laser process parameters on output responses. The optimal machining parameter settings obtained for the highest GRG peak value of 0.2642 are 15 kHz (frequency), 12 W (average power), and 1500 ns (pulse duration). The ANOVA results showed that average power is the most influential factor, contributing 86.40 % to performance measures (average dimple diameter (φ), dimple distance (d), and depth (l). Moreover, the effect of process parameters was studied using mean effect plots, and the micro-dimple quality was analysed using SEM micrographs.
%U https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/
%0 Journal Article
%R 10.5545/sv-jme.2021.7246
%& 525
%P 9
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 67
%N 10
%@ 0039-2480
%8 2021-10-22
%7 2021-10-22
Saravanan, Kandasamy Ganesan, & Rajasekaran  Thanigaivelan.
"Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG." Strojniški vestnik - Journal of Mechanical Engineering [Online], 67.10 (2021): 525-533. Web.  27 Jan. 2022
TY  - JOUR
AU  - Saravanan, Kandasamy Ganesan 
AU  - Thanigaivelan, Rajasekaran 
PY  - 2021
TI  - Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7246
KW  - laser, micro-dimple, principal component analysis, grey relational grade, stainless steel
N2  - Stainless steel (SS316L) is applied in numerous fields due to its intrinsic properties. In this study, micro-dimples were fabricated on SS316L. The effects of laser process parameters, such as frequency, average power, and pulse duration, on the average dimple diameter, dimple distance, and dimple depth were studied using an L9 orthogonal array. The analysis of variance (ANOVA) and multi-objective optimization technique, principal-component-analysis-coupled grey relational grade (GRG), was used to optimize laser process parameters on output responses. The optimal machining parameter settings obtained for the highest GRG peak value of 0.2642 are 15 kHz (frequency), 12 W (average power), and 1500 ns (pulse duration). The ANOVA results showed that average power is the most influential factor, contributing 86.40 % to performance measures (average dimple diameter (φ), dimple distance (d), and depth (l). Moreover, the effect of process parameters was studied using mean effect plots, and the micro-dimple quality was analysed using SEM micrographs.
UR  - https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/
@article{{sv-jme}{sv-jme.2021.7246},
	author = {Saravanan, K., Thanigaivelan, R.},
	title = {Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {67},
	number = {10},
	year = {2021},
	doi = {10.5545/sv-jme.2021.7246},
	url = {https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/}
}
TY  - JOUR
AU  - Saravanan, Kandasamy Ganesan 
AU  - Thanigaivelan, Rajasekaran 
PY  - 2021/10/22
TI  - Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 67, No 10 (2021): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7246
KW  - laser, micro-dimple, principal component analysis, grey relational grade, stainless steel
N2  - Stainless steel (SS316L) is applied in numerous fields due to its intrinsic properties. In this study, micro-dimples were fabricated on SS316L. The effects of laser process parameters, such as frequency, average power, and pulse duration, on the average dimple diameter, dimple distance, and dimple depth were studied using an L9 orthogonal array. The analysis of variance (ANOVA) and multi-objective optimization technique, principal-component-analysis-coupled grey relational grade (GRG), was used to optimize laser process parameters on output responses. The optimal machining parameter settings obtained for the highest GRG peak value of 0.2642 are 15 kHz (frequency), 12 W (average power), and 1500 ns (pulse duration). The ANOVA results showed that average power is the most influential factor, contributing 86.40 % to performance measures (average dimple diameter (φ), dimple distance (d), and depth (l). Moreover, the effect of process parameters was studied using mean effect plots, and the micro-dimple quality was analysed using SEM micrographs.
UR  - https://www.sv-jme.eu/article/optimisation-of-laser-parameters-and-dimple-geometry-using-pca-coupled-grg/
Saravanan, Kandasamy Ganesan, AND Thanigaivelan, Rajasekaran.
"Optimization of Laser Parameters and Dimple Geometry Using PCA-Coupled GRG" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 67 Number 10 (22 October 2021)

Authors

Affiliations

  • Sona College of Technology, India 1
  • Muthayammal Engineering College, India 2

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 67(2021)10, 525-533

https://doi.org/10.5545/sv-jme.2021.7246

Stainless steel (SS316L) is applied in numerous fields due to its intrinsic properties. In this study, micro-dimples were fabricated on SS316L. The effects of laser process parameters, such as frequency, average power, and pulse duration, on the average dimple diameter, dimple distance, and dimple depth were studied using an L9 orthogonal array. The analysis of variance (ANOVA) and multi-objective optimization technique, principal-component-analysis-coupled grey relational grade (GRG), was used to optimize laser process parameters on output responses. The optimal machining parameter settings obtained for the highest GRG peak value of 0.2642 are 15 kHz (frequency), 12 W (average power), and 1500 ns (pulse duration). The ANOVA results showed that average power is the most influential factor, contributing 86.40 % to performance measures (average dimple diameter (φ), dimple distance (d), and depth (l). Moreover, the effect of process parameters was studied using mean effect plots, and the micro-dimple quality was analysed using SEM micrographs.

laser, micro-dimple, principal component analysis, grey relational grade, stainless steel