Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators

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DOAN, Tat-Khoa ;NGUYEN, Trung-Thanh ;VAN, An-Le .
Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 70, n.1-2, p. 42-54, october 2023. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/>. Date accessed: 09 dec. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2023.692.
Doan, T., Nguyen, T., & Van, A.
(2024).
Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators.
Strojniški vestnik - Journal of Mechanical Engineering, 70(1-2), 42-54.
doi:http://dx.doi.org/10.5545/sv-jme.2023.692
@article{sv-jmesv-jme.2023.692,
	author = {Tat-Khoa  Doan and Trung-Thanh  Nguyen and An-Le  Van},
	title = {Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {70},
	number = {1-2},
	year = {2024},
	keywords = {Rotary turning; total energy consumption; surface roughness; noise emission; IQPSO; },
	abstract = {In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.},
	issn = {0039-2480},	pages = {42-54},	doi = {10.5545/sv-jme.2023.692},
	url = {https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/}
}
Doan, T.,Nguyen, T.,Van, A.
2024 October 70. Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 70:1-2
%A Doan, Tat-Khoa 
%A Nguyen, Trung-Thanh 
%A Van, An-Le 
%D 2024
%T Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators
%B 2024
%9 Rotary turning; total energy consumption; surface roughness; noise emission; IQPSO; 
%! Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators
%K Rotary turning; total energy consumption; surface roughness; noise emission; IQPSO; 
%X In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.
%U https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/
%0 Journal Article
%R 10.5545/sv-jme.2023.692
%& 42
%P 13
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 70
%N 1-2
%@ 0039-2480
%8 2023-10-02
%7 2023-10-02
Doan, Tat-Khoa, Trung-Thanh  Nguyen, & An-Le  Van.
"Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators." Strojniški vestnik - Journal of Mechanical Engineering [Online], 70.1-2 (2024): 42-54. Web.  09 Dec. 2024
TY  - JOUR
AU  - Doan, Tat-Khoa 
AU  - Nguyen, Trung-Thanh 
AU  - Van, An-Le 
PY  - 2024
TI  - Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2023.692
KW  - Rotary turning; total energy consumption; surface roughness; noise emission; IQPSO; 
N2  - In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.
UR  - https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/
@article{{sv-jme}{sv-jme.2023.692},
	author = {Doan, T., Nguyen, T., Van, A.},
	title = {Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {70},
	number = {1-2},
	year = {2024},
	doi = {10.5545/sv-jme.2023.692},
	url = {https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/}
}
TY  - JOUR
AU  - Doan, Tat-Khoa 
AU  - Nguyen, Trung-Thanh 
AU  - Van, An-Le 
PY  - 2023/10/02
TI  - Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 70, No 1-2 (2024): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2023.692
KW  - Rotary turning, total energy consumption, surface roughness, noise emission, IQPSO, 
N2  - In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.
UR  - https://www.sv-jme.eu/sl/article/multi-performance-optimization-of-the-rotary-turning-operation-for-environmental-and-quality-indicators/
Doan, Tat-Khoa, Nguyen, Trung-Thanh, AND Van, An-Le.
"Multi-performance Optimization of the Rotary Turning Operation for Environmental and Quality Indicators" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 70 Number 1-2 (02 October 2023)

Avtorji

Inštitucije

  • Le Quy Don Technical University, Faculty of Mechanical Engineering, Vietnam 1
  • Nguyen Tat Thanh University, Faculty of Engineering and Technology, Vietnam 2

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 70(2024)1-2, 42-54
© The Authors 2024. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2023.692

In this investigation, two environmental metrics (the comprehensive energy used (TU) and turning noise (TN)) and a quality metric (surface roughness (SR)) of the rotary turning process for the Ti6Al4V were optimized and reduced using the optimal factors (the inclined angle-i, depth of cut-d, feed-f, and turning speed-V). The TU model was proposed comprising the embodied energy of the insert and lubricant. The method based on the removal effects of criteria (MEREC), an improved quantum-behaved particle swarm optimization algorithm (IQPSO), and TOPSIS were applied to select weight values and the best optimal solution. The machining cost (MC) was proposed in terms of process parameters. The outcomes presented that the optimal values of the i, d, f, and V were 35 deg., 0.30 mm, 0.40 mm/rev., and 190 m/min, respectively, while the TU, SR, TN, and MC were saved by 6.7 %, 22.3 %, 23.5 %, and 8.5 %, respectively. The turning responses were primarily affected by the feed rate and turning speed, respectively. The developed turning process could be employed for machining hard-to-cut alloys. The developed approach could be applied to deal with optimization problems for other machining operations.

Rotary turning; total energy consumption; surface roughness; noise emission; IQPSO;