Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach
Two-body abrasive wear behavior of glass fabric reinforced (GC) epoxy and titanium dioxide (TiO₂) filled composites have been conducted out by using a tribo test machine. GC and TiO₂ filled GC composites were produced by the hand layup technique. The mechanical performances of the fabricated composi...
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sg-ntu-dr.10356-1537362021-12-23T08:17:30Z Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach Chairman, Chelliah Anand Ravichandran, Manickam Mohanavel, Vinayagam Sathish, Thanikodi Rashedi, Ahmad Alarifi, Ibrahim M. Badruddin, Irfan Anjum Anqi, Ali E. Afzal, Asif School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Materials Selection Polymer Two-body abrasive wear behavior of glass fabric reinforced (GC) epoxy and titanium dioxide (TiO₂) filled composites have been conducted out by using a tribo test machine. GC and TiO₂ filled GC composites were produced by the hand layup technique. The mechanical performances of the fabricated composites were calculated as per ASTM standards. Three different weight percentages were mixed with the polymer to develop the mechanical and abrasive wear features of the composites. Evaluation Based on Distance from Average Solution (EDAS), a multi-criteria decision technique is applied to find the best filler content. Based on the output, 2wt% TiO₂ filler gave the best result. Abrasive wear tests were used to compare GC and TiO₂ filled GC composites. The abrasion wear mechanisms of the unfilled and TiO₂ filled composites have also been studied by scanning electron microscopy. The outcome of the paper suggests the correct proportion of filler required for the resin in order to improve the wear resistance of the filled composites. Taguchi combined with Multi-Criteria Decision Method (MCDM) is used to identify the better performance of the TiO₂ filled epoxy composites. Published version The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through a research groups program under grant number (RGP.2/166/42). 2021-12-23T08:17:29Z 2021-12-23T08:17:29Z 2021 Journal Article Chairman, C. A., Ravichandran, M., Mohanavel, V., Sathish, T., Rashedi, A., Alarifi, I. M., Badruddin, I. A., Anqi, A. E. & Afzal, A. (2021). Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach. Materials, 14(18), 5257-. https://dx.doi.org/10.3390/ma14185257 1996-1944 https://hdl.handle.net/10356/153736 10.3390/ma14185257 34576481 2-s2.0-85114885002 18 14 5257 en Materials © 2021 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). application/pdf |
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Engineering::Mechanical engineering Materials Selection Polymer Chairman, Chelliah Anand Ravichandran, Manickam Mohanavel, Vinayagam Sathish, Thanikodi Rashedi, Ahmad Alarifi, Ibrahim M. Badruddin, Irfan Anjum Anqi, Ali E. Afzal, Asif Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
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Two-body abrasive wear behavior of glass fabric reinforced (GC) epoxy and titanium dioxide (TiO₂) filled composites have been conducted out by using a tribo test machine. GC and TiO₂ filled GC composites were produced by the hand layup technique. The mechanical performances of the fabricated composites were calculated as per ASTM standards. Three different weight percentages were mixed with the polymer to develop the mechanical and abrasive wear features of the composites. Evaluation Based on Distance from Average Solution (EDAS), a multi-criteria decision technique is applied to find the best filler content. Based on the output, 2wt% TiO₂ filler gave the best result. Abrasive wear tests were used to compare GC and TiO₂ filled GC composites. The abrasion wear mechanisms of the unfilled and TiO₂ filled composites have also been studied by scanning electron microscopy. The outcome of the paper suggests the correct proportion of filler required for the resin in order to improve the wear resistance of the filled composites. Taguchi combined with Multi-Criteria Decision Method (MCDM) is used to identify the better performance of the TiO₂ filled epoxy composites. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Chairman, Chelliah Anand Ravichandran, Manickam Mohanavel, Vinayagam Sathish, Thanikodi Rashedi, Ahmad Alarifi, Ibrahim M. Badruddin, Irfan Anjum Anqi, Ali E. Afzal, Asif |
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Article |
author |
Chairman, Chelliah Anand Ravichandran, Manickam Mohanavel, Vinayagam Sathish, Thanikodi Rashedi, Ahmad Alarifi, Ibrahim M. Badruddin, Irfan Anjum Anqi, Ali E. Afzal, Asif |
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Chairman, Chelliah Anand |
title |
Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
title_short |
Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
title_full |
Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
title_fullStr |
Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
title_full_unstemmed |
Mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using Taguchi and EDAS approach |
title_sort |
mechanical and abrasive wear performance of titanium di-oxide filled woven glass fibre reinforced polymer composites by using taguchi and edas approach |
publishDate |
2021 |
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https://hdl.handle.net/10356/153736 |
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1720447113515499520 |