Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method

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S, Omprakasam ;K, Marimuthu ;R, Raghu ;T, Velmurugan .
Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 68, n.3, p. 200-209, march 2022. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/>. Date accessed: 04 feb. 2023. 
doi:http://dx.doi.org/10.5545/sv-jme.2021.7414.
S, O., K, M., R, R., & T, V.
(2022).
Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method.
Strojniški vestnik - Journal of Mechanical Engineering, 68(3), 200-209.
doi:http://dx.doi.org/10.5545/sv-jme.2021.7414
@article{sv-jmesv-jme.2021.7414,
	author = {Omprakasam  S and Marimuthu  K and Raghu  R and Velmurugan  T},
	title = {Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {3},
	year = {2022},
	keywords = {TIG welding; aluminium; AA5052; hardness; RFF; PSF; Taguchi; },
	abstract = {This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.},
	issn = {0039-2480},	pages = {200-209},	doi = {10.5545/sv-jme.2021.7414},
	url = {https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/}
}
S, O.,K, M.,R, R.,T, V.
2022 March 68. Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 68:3
%A S, Omprakasam 
%A K, Marimuthu 
%A R, Raghu 
%A T, Velmurugan 
%D 2022
%T Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method
%B 2022
%9 TIG welding; aluminium; AA5052; hardness; RFF; PSF; Taguchi; 
%! Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method
%K TIG welding; aluminium; AA5052; hardness; RFF; PSF; Taguchi; 
%X This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.
%U https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/
%0 Journal Article
%R 10.5545/sv-jme.2021.7414
%& 200
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 68
%N 3
%@ 0039-2480
%8 2022-03-15
%7 2022-03-15
S, Omprakasam, Marimuthu  K, Raghu  R, & Velmurugan  T.
"Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method." Strojniški vestnik - Journal of Mechanical Engineering [Online], 68.3 (2022): 200-209. Web.  04 Feb. 2023
TY  - JOUR
AU  - S, Omprakasam 
AU  - K, Marimuthu 
AU  - R, Raghu 
AU  - T, Velmurugan 
PY  - 2022
TI  - Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7414
KW  - TIG welding; aluminium; AA5052; hardness; RFF; PSF; Taguchi; 
N2  - This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.
UR  - https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/
@article{{sv-jme}{sv-jme.2021.7414},
	author = {S, O., K, M., R, R., T, V.},
	title = {Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {3},
	year = {2022},
	doi = {10.5545/sv-jme.2021.7414},
	url = {https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/}
}
TY  - JOUR
AU  - S, Omprakasam 
AU  - K, Marimuthu 
AU  - R, Raghu 
AU  - T, Velmurugan 
PY  - 2022/03/15
TI  - Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 68, No 3 (2022): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7414
KW  - TIG welding, aluminium, AA5052, hardness, RFF, PSF, Taguchi, 
N2  - This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.
UR  - https://www.sv-jme.eu/sl/article/experimental-investigation-on-microstructure-and-hardness-of-aa-5052-alloys-processed-through-tig-welding-process/
S, Omprakasam, K, Marimuthu, R, Raghu, AND T, Velmurugan.
"Statistical Modelling and Optimization of TIG Welding Process Parameters Using Taguchi’s Method" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 68 Number 3 (15 March 2022)

Avtorji

Inštitucije

  • Sri Ramakrishna Engineering College, Department of Mechanical Engineering, India 1
  • Coimbatore Institute of Technology, Department of Mechanical Engineering, India 2

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 68(2022)3, 200-209
© The Authors 2022. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2021.7414

This current research focuses on optimizing the welding process parameters and penetration of 5052 alloys using a TIG welding process based on the Taguchi methods. Process parameters such as current, voltage, and speed with three different levels were taken to form the L27 orthogonal array using the design of experiments. Analysis of variance, signal-to-noise ratio analysis, and regression analysis were performed. The regression analysis indicated that the developed model has greater adequacy in predicting the reinforcement form factor (RFF), penetration shape factor (PSF) and hardness of the weld specimens. In addition, the optimized parametric condition for the welded specimen was found to be current, voltage, and speed of 140 A, 18 V, and 300 mm/min, respectively.

TIG welding; aluminium; AA5052; hardness; RFF; PSF; Taguchi;