Effect of Caesalpinia decapetala on the Dry Sliding Wear Behavior of Epoxy Composites

IF 3.4 4区 化学 Q2 POLYMER SCIENCE International Journal of Polymer Science Pub Date : 2023-10-25 DOI:10.1155/2023/9379277
Hailemariam Biratu, Mengistu Gelaw, Kiran Shahapurkar, Venkatesh Chenrayan, Manzoore Elahi M. Soudagar, Vineet Tirth, Ali Algahtani, Tawfiq Al-Mughanam
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Abstract

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.
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虎柏对环氧复合材料干滑动磨损性能的影响
本文研究了一种新型十足杉(CD)壳增强环氧复合材料的磨损特性。CD在世界范围内大量供应,特别是在埃塞俄比亚,特别是在西哈拉尔附近的东奥罗米亚和西奥罗米亚。通过改变CD在10、20和30的体积百分比,采用开模铸造技术对复合试样进行加工。利用能谱仪对CD中存在的重要元素进行了评价。复合材料的密度随着CD含量的增加而增加,而孔隙含量的估计显示了对复合材料制造的良好控制。通过改变滑动距离和载荷以及保持固定速度(5 m/s)来研究复合材料的磨损响应。在5 km的滑行距离和50 N的载荷下,30 vol.%的Caesalpinia decapetala组分比其他组分具有更好的耐磨性和摩擦系数。利用实验结果设想了理想的磨损系数,并评估了参数对磨损率和CoF两个磨损目标的影响。采用灰色关联分析(GRA)耦合人工神经网络(ANN)混合技术进行预测和验证。已经观察到,在GRA和ANN估计中观察到0.49%的微小误差。
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来源期刊
CiteScore
6.10
自引率
0.00%
发文量
55
审稿时长
>12 weeks
期刊介绍: The International Journal of Polymer Science is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on the chemistry and physics of macromolecules.
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