Study of Abrasive Wear Behavior of Epoxy-Carbon Fiber Composites with Nano Al2O3 Filler: An Algorithmic Approach

被引:0
|
作者
B. R. Lokesh Yadhav [1 ]
H. K. Govindaraju [2 ]
M. D. Kiran [2 ]
Narasimha Marakala [3 ]
Siva Kumar Mahalingam [4 ]
Lenin Nagarajan [4 ]
Salah J. Mohammed [5 ]
Hasan Sh. Majdi [6 ]
Sameer Algburi [7 ]
Mohammad Amir Khan [8 ]
机构
[1] R L Jalappa Institute of Technology,Department of Mechanical Engineering
[2] BMS Institute of Technology and Management,Department of Mechanical Engineering
[3] Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT),Department of Mechanical Engineering
[4] SRM TRP Engineering College,Civil Engineering Department
[5] Dijlah University College,Department of Chemical Engineering and Petroleum Industries
[6] Al-Mustaqbal University College,Department of Civil Engineering
[7] Al-Kitab University,undefined
[8] Galgotia College of Engineering,undefined
关键词
Carbon fiber; Epoxy; Hand layup; Abrasive wear; Taguchi Method; SSO algorithm;
D O I
10.1007/s40735-024-00939-w
中图分类号
学科分类号
摘要
In the present research, epoxy composites were made by hand layup with reinforcement of carbon fabric and Al2O3 nanoparticles in weight percentages of 0.5, 1.0, and 2.0. The L-16 orthogonal array was used in the experiment design, with the load, sliding distance, and amount of filler reinforcement as controlling parameters. The study of three-body abrasive wear was carried out with a load of 10 and 20 N for a sliding distance of 250–1000 m in an increment of 250 m at a speed of 2.5 m/s. The experimental study confirms the increased wear loss with increased sliding distance and load. The wear loss was decreased with an increased percentage of fillers from 0.5 to 2.0 wt.%. The SEM analysis of the worn surfaces has revealed micro-plowing, initiation of micro-cracks, removal of epoxy by silica sand particles, and rapture of carbon fibers. The combination of optimal parameters for minimizing wear loss has also been studied through the Taguchi and algorithmic approaches. The SSO algorithm has outperformed the other algorithms and the Taguchi method.
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