Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites
The present research investigates the wear characteristics of an epoxy composite reinforced with a novel Caesalpinia decapetala (CD) shell. The CD is available abundantly worldwide, especially in Ethiopia, particularly in East and West Oromia near West Harar. The composite specimens were processed i...
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2024
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my.uniten.dspace-345392024-10-14T11:20:30Z Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites Biratu H. Gelaw M. Shahapurkar K. Chenrayan V. Soudagar M.E.M. Tirth V. Algahtani A. Al-Mughanam T. 58698032600 57203730071 57196344622 57197452830 57194384501 24725356900 55948151700 57194083410 Friction Neural networks Wear of materials Wear resistance Casting techniques Composite specimens Dry sliding wear Epoxy composite Ethiopia Mould casting Open mold Sliding wear behaviour Void contents Wear characteristics Epoxy composites The present research investigates the wear characteristics of an epoxy composite reinforced with a novel Caesalpinia decapetala (CD) shell. The CD is available abundantly worldwide, especially in Ethiopia, particularly in East and West Oromia near West Harar. The composite specimens were processed in the open mould casting technique by varying the vol.% of CD in 10, 20, and 30. EDS is used to evaluate the important elements present in the CD. The density of composites increases with the increase in the content of CD, while the void content estimations reveal good control over the composite fabrication. The wear response of composites is investigated by varying the sliding distance and load and by maintaining a fixed velocity (5 m/s). At a 5 km slide distance and 50 N load, the 30 vol.% Caesalpinia decapetala composition depicts better wear resistance and friction coefficient than other compositions. Experimental results are used to envisage the ideal wear factors and to assess the influence of parameters over the two wear objectives, wear rate and CoF. The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. It has been observed that a trivial error of 0.49% amidst GRA and ANN estimation is observed. � 2023 Hailemariam Biratu et al. Final 2024-10-14T03:20:30Z 2024-10-14T03:20:30Z 2023 Article 10.1155/2023/9379277 2-s2.0-85176949257 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176949257&doi=10.1155%2f2023%2f9379277&partnerID=40&md5=578ad24347561597ce0041c1b3647cc5 https://irepository.uniten.edu.my/handle/123456789/34539 2023 9379277 All Open Access Gold Open Access Hindawi Limited Scopus |
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Friction Neural networks Wear of materials Wear resistance Casting techniques Composite specimens Dry sliding wear Epoxy composite Ethiopia Mould casting Open mold Sliding wear behaviour Void contents Wear characteristics Epoxy composites |
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Friction Neural networks Wear of materials Wear resistance Casting techniques Composite specimens Dry sliding wear Epoxy composite Ethiopia Mould casting Open mold Sliding wear behaviour Void contents Wear characteristics Epoxy composites Biratu H. Gelaw M. Shahapurkar K. Chenrayan V. Soudagar M.E.M. Tirth V. Algahtani A. Al-Mughanam T. Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
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The present research investigates the wear characteristics of an epoxy composite reinforced with a novel Caesalpinia decapetala (CD) shell. The CD is available abundantly worldwide, especially in Ethiopia, particularly in East and West Oromia near West Harar. The composite specimens were processed in the open mould casting technique by varying the vol.% of CD in 10, 20, and 30. EDS is used to evaluate the important elements present in the CD. The density of composites increases with the increase in the content of CD, while the void content estimations reveal good control over the composite fabrication. The wear response of composites is investigated by varying the sliding distance and load and by maintaining a fixed velocity (5 m/s). At a 5 km slide distance and 50 N load, the 30 vol.% Caesalpinia decapetala composition depicts better wear resistance and friction coefficient than other compositions. Experimental results are used to envisage the ideal wear factors and to assess the influence of parameters over the two wear objectives, wear rate and CoF. The grey relational analysis- (GRA-) coupled artificial neural network (ANN) hybrid technique was employed for the prediction and validation. It has been observed that a trivial error of 0.49% amidst GRA and ANN estimation is observed. � 2023 Hailemariam Biratu et al. |
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58698032600 |
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58698032600 Biratu H. Gelaw M. Shahapurkar K. Chenrayan V. Soudagar M.E.M. Tirth V. Algahtani A. Al-Mughanam T. |
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Article |
author |
Biratu H. Gelaw M. Shahapurkar K. Chenrayan V. Soudagar M.E.M. Tirth V. Algahtani A. Al-Mughanam T. |
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Biratu H. |
title |
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
title_short |
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
title_full |
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
title_fullStr |
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
title_full_unstemmed |
Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites |
title_sort |
effect of caesalpinia decapetala on the dry sliding wear behavior of epoxy composites |
publisher |
Hindawi Limited |
publishDate |
2024 |
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1814061126248300544 |
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13.211869 |