Murali Banu, Vijaya Ramnath Bindu Madhavan, Rajamani Devaraj, Nasr Emad Abouel, Astarita Antonello, Mohamed Hussein
Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India.
Department of Mechanical Engineering, Sri Sairam Engineering College, Chennai 600044, India.
Materials (Basel). 2022 Jan 19;15(3):749. doi: 10.3390/ma15030749.
The present work aimed to investigate the dry sliding wear behaviors of hybrid polymer matrix composites made up of Kevlar, bamboo, palm, and Aloe vera as reinforcement materials of varying stacking sequences, along with epoxy as the matrix material. Three combinations of composite laminates with different stacking sequences such as AB, BC, and CA were fabricated by a vacuum-assisted compression molding process. The influence of composite laminates fabricated through various stacking sequences and dry sliding wear test variables such as load, sliding distance, and sliding velocity on the specific wear rate and co-efficient of friction were investigated. Experiments were designed and statistical validation was performed through response surface methodology-based D-optimal design and analysis of variance. The optimization was performed using grey relational analysis (GRA) to identify the optimal parameters to enhance the wear resistance of hybrid polymer composites under dry sliding conditions. The optimal parameters, such as composite combinations of CA, a load of 5 N, a sliding velocity of 3 m/s, and a sliding distance of 1500 m, were obtained. Furthermore, the morphologies of worn-out surfaces were investigated using SEM analysis.
本研究旨在探究由凯夫拉纤维、竹子、棕榈和芦荟作为增强材料，以不同堆叠顺序组成的混杂聚合物基复合材料的干滑动磨损行为，其中环氧树脂作为基体材料。通过真空辅助压缩成型工艺制备了三种不同堆叠顺序的复合层压板组合，如AB、BC和CA。研究了通过各种堆叠顺序制备的复合层压板以及干滑动磨损试验变量（如载荷、滑动距离和滑动速度）对特定磨损率和摩擦系数的影响。通过基于响应面法的D-最优设计和方差分析进行实验设计和统计验证。使用灰色关联分析（GRA）进行优化，以确定在干滑动条件下提高混杂聚合物复合材料耐磨性的最佳参数。获得了最佳参数，如CA复合组合、5 N的载荷、3 m/s的滑动速度和1500 m的滑动距离。此外，使用扫描电子显微镜（SEM）分析研究了磨损表面的形貌。
