Jayasathyakawin S, Ravichandran M
Department of Mechanical Engineering, K. Ramakrishnan College of Engineering, Samayapuram, Trichy, 621112, India.
Heliyon. 2023 Feb 12;9(2):e13679. doi: 10.1016/j.heliyon.2023.e13679. eCollection 2023 Feb.
In this work, Silicon Carbide (SiC) reinforced Mg/3Al matrix composite was developed via powder metallurgy (PM) method. Friction coefficient (COF) and wear rate (WR) of the composite was studied using Pin on disc wear tester. Scanning Electron Microscope (SEM) was used to investigate the microstructure of sintered samples. During the experiments, L16 orthogonal design was followed. Wear analysis was done with four wear control factors such as the reinforcement (Wt.%), the applied load ('P'), the sliding velocity ('V') and the sliding distance ('D'). In this study, the optimal combination of parameters was found using signal-to-noise (S/N) ratio analysis. Based on the analysis of variance (ANOVA), the 'P' and Wt.% of SiC are the two parameters that have the greatest influence on WR and COF. From the analysis, Mg/3Al/9SiCcomposites exhibited better wear properties among other composition tested. Worn surface analysis was conducted for the tested samples and the SEM images are reported.
在本研究中,通过粉末冶金(PM)法制备了碳化硅(SiC)增强Mg/3Al基复合材料。使用销盘磨损试验机研究了该复合材料的摩擦系数(COF)和磨损率(WR)。利用扫描电子显微镜(SEM)研究了烧结样品的微观结构。实验过程中,采用了L16正交设计。通过增强体(重量百分比)、施加载荷(“P”)、滑动速度(“V”)和滑动距离(“D”)这四个磨损控制因素进行磨损分析。在本研究中,使用信噪比(S/N)分析找到了参数的最佳组合。基于方差分析(ANOVA),SiC的“P”和重量百分比是对WR和COF影响最大的两个参数。分析表明,在测试的其他成分中,Mg/3Al/9SiC复合材料表现出更好的磨损性能。对测试样品进行了磨损表面分析,并报告了SEM图像。