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Optimization of wear parameters for aluminium 4% fly-ash composites
Indian Journal of Engineering & Materials Sciences Pub Date : 2020-08-03
Subramaniam Magibalan, Palanisamy Senthilkumar, Chinnamuthu Senthilkumar, Muthusamy Prabu

Dry sliding wear behaviour of aluminium matrix composites (AMCs) prepared by stir casting with 4% as fly ash reinforcement has been studied in the work. Dry sliding wear tests have been conducted using a pin-on-disc wear-testing machine to study the effect of changeable process parameters such as load, time, and sliding velocity, which have been used as design variables on the output parameters wear rate (WR) and coefficient of friction (COF). Sensitivity analysis has been carried out to find out the most significant parameter that can be controlled to minimize the WR. Further, the wear parameters have been optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) approach to reduce the WR. Therefore, this study offers useful insights to composite manufacturers, especially for automotive industries.

中文翻译:

铝4%粉煤灰复合材料的磨损参数优化

在这项工作中,已经研究了通过4%的粉煤灰增强的搅拌铸造制备的铝基复合材料(AMC)的干滑动磨损行为。已使用销钉盘式磨损测试机进行了干式滑动磨损测试,以研究可变工艺参数(例如负载,时间和滑动速度)的影响,这些参数已用作输出变量磨损率的设计变量( WR)和摩擦系数(COF)。进行了灵敏度分析,以找出可以控制以减小WR的最重要参数。此外,已经通过使用与理想解决方案(TOPSIS)方法相似的优先顺序技术来优化磨损参数,以降低WR。因此,这项研究为复合材料制造商,尤其是汽车行业的复合材料制造商提供了有用的见识。
更新日期:2020-08-03
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