Lightweight, high-strength metal matrix composites have attracted considerable interest because of their attractive physical, mechanical and tribological properties. Moreover, they may offer distinct advantages due to good strength and wear resistance. In this research, AA6063 was reinforced with FA particles using compocasting methods. The effects of fly ash content, load, sliding speed and performance tribology of AA6063 –FA composite were evaluated. Dry sliding wear tests were carried out according to experimental design using the pin-on-disc method with three different loads (24.5, 49 and 73.5 N) and three speeds (150, 200 and 250 rpm) at room temperature. Response surface methodology (RSM) was used to analyze the influence of the process parameters on the tribological behavior of the composites. The surface plot showed that the wear rate increased with increasing load, time and sliding velocity. In contrast, the friction coefficient decreased with increasing these parameters. Optimal models for wear rate and friction coefficient showed appropriate results that can be estimated, hence reducing wear testing time and cost.

中文翻译：

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基于响应面法的粉煤灰增强AA6063铝合金的摩擦学数学建模与分析

轻质，高强度的金属基复合材料因其吸引人的物理，机械和摩擦学性能而引起了人们的极大兴趣。而且，由于良好的强度和耐磨性，它们可以提供明显的优点。在这项研究中，使用复合浇铸法将FA606颗粒增强了AA6063。评估了粉煤灰含量，载荷，滑动速度和AA6063-FA复合材料的摩擦学性能的影响。根据实验设计，使用销钉盘方法在室温下以三种不同负载（24.5、49和73.5 N）和三种速度（150、200和250 rpm）进行干式滑动磨损测试。响应面法（RSM）用于分析工艺参数对复合材料摩擦学性能的影响。表面图表明，磨损率随着载荷，时间和滑动速度的增加而增加。相反，摩擦系数随着这些参数的增加而降低。磨损率和摩擦系数的最佳模型显示了可以估算的适当结果，从而减少了磨损测试的时间和成本。