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: 20 dec. 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. 20 Dec. 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)
Strojniški vestnik - Journal of Mechanical Engineering 68(2022)5, 359-367
© The Authors 2022. CC BY 4.0 Int.
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.