Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality

407 Ogledov
342 Prenosov
Izvoz citacije: ABNT
VAN, An-Le ;NGUYEN, Thai-Chung ;BUI, Huu-Toan  ;DANG, Xuan-Ba ;NGUYEN, Trung-Thanh .
Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 70, n.5-6, p. 259-269, april 2024. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/>. Date accessed: 10 dec. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2023.890.
Van, A., Nguyen, T., Bui, H., Dang, X., & Nguyen, T.
(2024).
Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality.
Strojniški vestnik - Journal of Mechanical Engineering, 70(5-6), 259-269.
doi:http://dx.doi.org/10.5545/sv-jme.2023.890
@article{sv-jmesv-jme.2023.890,
	author = {An-Le  Van and Thai-Chung  Nguyen and Huu-Toan   Bui and Xuan-Ba  Dang and Trung-Thanh  Nguyen},
	title = {Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {70},
	number = {5-6},
	year = {2024},
	keywords = {GTAW; Heat input; Ultimate tensile strength; Micro-hardness; radial basis function network; },
	abstract = {This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes.},
	issn = {0039-2480},	pages = {259-269},	doi = {10.5545/sv-jme.2023.890},
	url = {https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/}
}
Van, A.,Nguyen, T.,Bui, H.,Dang, X.,Nguyen, T.
2024 April 70. Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 70:5-6
%A Van, An-Le 
%A Nguyen, Thai-Chung 
%A Bui, Huu-Toan  
%A Dang, Xuan-Ba 
%A Nguyen, Trung-Thanh 
%D 2024
%T Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality
%B 2024
%9 GTAW; Heat input; Ultimate tensile strength; Micro-hardness; radial basis function network; 
%! Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality
%K GTAW; Heat input; Ultimate tensile strength; Micro-hardness; radial basis function network; 
%X This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes.
%U https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/
%0 Journal Article
%R 10.5545/sv-jme.2023.890
%& 259
%P 11
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 70
%N 5-6
%@ 0039-2480
%8 2024-04-02
%7 2024-04-02
Van, An-Le, Thai-Chung  Nguyen, Huu-Toan   Bui, Xuan-Ba  Dang, & Trung-Thanh  Nguyen.
"Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality." Strojniški vestnik - Journal of Mechanical Engineering [Online], 70.5-6 (2024): 259-269. Web.  10 Dec. 2024
TY  - JOUR
AU  - Van, An-Le 
AU  - Nguyen, Thai-Chung 
AU  - Bui, Huu-Toan  
AU  - Dang, Xuan-Ba 
AU  - Nguyen, Trung-Thanh 
PY  - 2024
TI  - Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2023.890
KW  - GTAW; Heat input; Ultimate tensile strength; Micro-hardness; radial basis function network; 
N2  - This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes.
UR  - https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/
@article{{sv-jme}{sv-jme.2023.890},
	author = {Van, A., Nguyen, T., Bui, H., Dang, X., Nguyen, T.},
	title = {Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {70},
	number = {5-6},
	year = {2024},
	doi = {10.5545/sv-jme.2023.890},
	url = {https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/}
}
TY  - JOUR
AU  - Van, An-Le 
AU  - Nguyen, Thai-Chung 
AU  - Bui, Huu-Toan  
AU  - Dang, Xuan-Ba 
AU  - Nguyen, Trung-Thanh 
PY  - 2024/04/02
TI  - Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 70, No 5-6 (2024): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2023.890
KW  - GTAW, Heat input, Ultimate tensile strength, Micro-hardness, radial basis function network, 
N2  - This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes.
UR  - https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/
Van, An-Le, Nguyen, Thai-Chung, Bui, Huu-Toan , Dang, Xuan-Ba, AND Nguyen, Trung-Thanh.
"Multi-response Optimization of GTAW Process Parameters in Terms of Energy Efficiency and Quality" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 70 Number 5-6 (02 April 2024)

Avtorji

Inštitucije

  • Nguyen Tat Thanh University, Faculty of Engineering and Technology, Vietnam 1
  • Le Quy Don Technical University, Faculty of Mechanical Engineering, Vietnam 2
  • Ho Chi Minh City University of Technology and Education, Vietnam 3
  • 2Le Quy Don Technical University, Faculty of Mechanical Engineering, Vietnam 4

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 70(2024)5-6, 259-269
© The Authors 2024. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2023.890

This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes.

GTAW; Heat input; Ultimate tensile strength; Micro-hardness; radial basis function network;