Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis

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IBRAHIM, Musa Alhaji ;ÇAMUR, Hüseyin ;SAVAŞ, Mahmut A. ;SABO, Alhassan Kawu .
Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 68, n.5, p. 359-367, march 2022. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/>. Date accessed: 28 feb. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2021.7466.
Ibrahim, M., Çamur, H., Savaş, M., & Sabo, A.
(2022).
Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis.
Strojniški vestnik - Journal of Mechanical Engineering, 68(5), 359-367.
doi:http://dx.doi.org/10.5545/sv-jme.2021.7466
@article{sv-jmesv-jme.2021.7466,
	author = {Musa Alhaji  Ibrahim and Hüseyin  Çamur and Mahmut A.  Savaş and Alhassan Kawu  Sabo},
	title = {Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {5},
	year = {2022},
	keywords = {PTFE; carbon fibre; bronze fibre; abrasive; Taguchi; grey relational analysis; },
	abstract = {Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.},
	issn = {0039-2480},	pages = {359-367},	doi = {10.5545/sv-jme.2021.7466},
	url = {https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/}
}
Ibrahim, M.,Çamur, H.,Savaş, M.,Sabo, A.
2022 March 68. Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 68:5
%A Ibrahim, Musa Alhaji 
%A Çamur, Hüseyin 
%A Savaş, Mahmut A. 
%A Sabo, Alhassan Kawu 
%D 2022
%T Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis
%B 2022
%9 PTFE; carbon fibre; bronze fibre; abrasive; Taguchi; grey relational analysis; 
%! Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis
%K PTFE; carbon fibre; bronze fibre; abrasive; Taguchi; grey relational analysis; 
%X Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.
%U https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/
%0 Journal Article
%R 10.5545/sv-jme.2021.7466
%& 359
%P 9
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 68
%N 5
%@ 0039-2480
%8 2022-03-28
%7 2022-03-28
Ibrahim, Musa Alhaji, Hüseyin  Çamur, Mahmut A.  Savaş, & Alhassan Kawu  Sabo.
"Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis." Strojniški vestnik - Journal of Mechanical Engineering [Online], 68.5 (2022): 359-367. Web.  28 Feb. 2024
TY  - JOUR
AU  - Ibrahim, Musa Alhaji 
AU  - Çamur, Hüseyin 
AU  - Savaş, Mahmut A. 
AU  - Sabo, Alhassan Kawu 
PY  - 2022
TI  - Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7466
KW  - PTFE; carbon fibre; bronze fibre; abrasive; Taguchi; grey relational analysis; 
N2  - Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.
UR  - https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/
@article{{sv-jme}{sv-jme.2021.7466},
	author = {Ibrahim, M., Çamur, H., Savaş, M., Sabo, A.},
	title = {Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {68},
	number = {5},
	year = {2022},
	doi = {10.5545/sv-jme.2021.7466},
	url = {https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/}
}
TY  - JOUR
AU  - Ibrahim, Musa Alhaji 
AU  - Çamur, Hüseyin 
AU  - Savaş, Mahmut A. 
AU  - Sabo, Alhassan Kawu 
PY  - 2022/03/28
TI  - Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 68, No 5 (2022): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2021.7466
KW  - PTFE, carbon fibre, bronze fibre, abrasive, Taguchi, grey relational analysis, 
N2  - Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.
UR  - https://www.sv-jme.eu/sl/article/multi-response-optimization-of-tribological-behaviours-of-ptfe-based-composites-via-taguchi-grey-relational-analysis-at-light-conditions/
Ibrahim, Musa Alhaji, Çamur, Hüseyin, Savaş, Mahmut A., AND Sabo, Alhassan Kawu.
"Multi-Response Optimization of the Tribological Behaviour of PTFE-Based Composites via Taguchi Grey Relational Analysis" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 68 Number 5 (28 March 2022)

Avtorji

Inštitucije

  • Kano University of Science and Technology, Faculty of Engineering, Nigeria 1
  • Near East University, Department of Mechanical Engineering, Cyprus 2
  • Kano University of Science and Technology, Physical Planning and Development, Nigeria 3

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 68(2022)5, 359-367
© The Authors 2022. CC BY 4.0 Int.

https://doi.org/10.5545/sv-jme.2021.7466

Polymer-based composites find applications in several areas because of their exceptional properties. This article deals with Taguchi grey relational optimization method of abrasive parameters (load (L), grit size (G) and sliding distance (D)) and their influence on abrasive performance of reinforced polytetrafluoroethylene (PTFE) composites. A Taguchi L9 orthogonal array was designed, and nine experimental tests were conducted based on the Taguchi designed experiments. A pin-on-disc tribology machine was used for the experiments. The coefficient of friction (µ) and abrasive specific wear rate (Aw) were recorded for each experiment. An analysis of variance (ANOVA) was performed to establish the significance and percentage contribution of each parameter affecting the abrasive wear performance. Results from the Taguchi-grey-relational method showed that the optimal combination of parameters was achieved at load of 10 N, grit size of 1000 mesh, and sliding distance of 350 m (coded as L3G1D3). ANOVA findings revealed that a grit size with 67.69 % as the most influential on the abrasive performance of polymer-based composites. Validation tests performed using the optimal combination parameter showed an enhancement of 55.22 % in grey relational grade.

PTFE; carbon fibre; bronze fibre; abrasive; Taguchi; grey relational analysis;