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Optimization of Tribological Properties in Aluminum Hybrid Metal Matrix Composites Using Gray-Taguchi Method

机译:灰色-Taguchi法优化铝杂化金属基复合材料的摩擦学性能

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This article investigates the optimization of dry sliding performances on the aluminum hybrid metal matrix composites using gray relational analysis in the Taguchi method. Different loads, sliding speeds and varying percentage of molybdenum disulfide are selected as control factors. The multiple responses to evaluate the dry sliding performances are specific wear rate and coefficient of friction. Using a pin-on-disk apparatus, the volume loss and frictional force are measured. Based on gray relational analysis, the optimum level parameters for specific wear rate and coefficient of friction have been identified. An L27 orthogonal array was employed for the experimental design. Analysis of Variance (ANOVA) had given the impact of individual factors and interactions on the specific wear rate as well as the coefficient of friction. The results indicated that the three test parameters had a significant role in controlling the friction and wear behavior of composites. Interaction of the control factors showed the sizable influence on tribological performance. Using Scanning Electron Microscopy (SEM) the wear surface morphology and wear mechanism of the composites have been investigated.
机译:本文使用Taguchi方法中的灰色关联分析,研究了铝杂化金属基复合材料的干滑性能优化。选择不同的负载,滑动速度和变化的二硫化钼百分比作为控制因素。评估干滑性能的多重响应是比磨损率和摩擦系数。使用销钉盘设备,测量体积损失和摩擦力。基于灰色关联分析,确定了特定磨损率和摩擦系数的最佳水平参数。 L27正交阵列用于实验设计。方差分析(ANOVA)给出了各个因素和相互作用对比磨损率以及摩擦系数的影响。结果表明,这三个测试参数在控制复合材料的摩擦和磨损行为方面起着重要作用。控制因素的相互作用显示了对摩擦性能的巨大影响。使用扫描电子显微镜(SEM)研究了复合材料的磨损表面形态和磨损机理。

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