Murugan Aravindh, Barik Debabrata, Faisal Rasan Sarbast, Mani Makeshkumar, Dennison Milon Selvam, Praveenkumar Seepana, Rajendran Saravanan
Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore, 641021, India.
Centre for Energy and Environment, Karpagam Academy of Higher Education, Coimbatore, 641021, India.
Sci Rep. 2025 Jul 19;15(1):26205. doi: 10.1038/s41598-025-11340-z.
An increasing need for wear-resistant hybrid materials has prompted researchers to develop alternative materials that comprise different reinforcements and fillers. In recent studies, the combination of natural fibers and ceramic fillers has resulted in hybrid composites with improved tribological characteristics for automotive and aircraft applications. Even though natural fibers have some disadvantages, the combined effect of natural fibers and ceramics with suitable multi-response optimization techniques can overcome the limitations and provide a composite with enhanced mechanical and tribological properties at minimal cost. This paper explores the wear behavior of silicon carbide (SiC) filled kenaf/jute-based hybrid composite. In addition, a multi-response optimization technique combining the fuzzy model interference system and grey relation analysis (GRA) is adopted in the current work. Design of experiments was carried out with the Taguchi L27 orthogonal array (OA) to yield the minimum wear rate and coefficient of friction (COF). This study demonstrated that the highest gray relational grade (GRG) and gray fuzzy grade (GFG) value of 0.804 and 0.801, respectively to obtain the optimal operating parameters of 1 wt% SiC, 30 wt% reinforcement, 1500 m sliding distance, 1.5 m/s sliding speed, and 15 N load. Scanning electron microscope (SEM) revealed worn-out surface mechanisms, fine debris, and the ploughing effect, which play a significant role in begetting the desired wear characteristics. Furthermore, the best combination of particulate hybrid composite was tested for mechanical characteristics in dry and wet conditions.
对耐磨混合材料的需求日益增长，促使研究人员开发包含不同增强材料和填料的替代材料。在最近的研究中，天然纤维与陶瓷填料的结合产生了具有改进摩擦学特性的混合复合材料，可用于汽车和航空应用。尽管天然纤维存在一些缺点，但通过合适的多响应优化技术，天然纤维与陶瓷的组合效应可以克服这些限制，并以最低成本提供具有增强机械性能和摩擦学性能的复合材料。本文探讨了填充碳化硅（SiC）的红麻/黄麻基混合复合材料的磨损行为。此外，当前工作采用了模糊模型干涉系统和灰色关联分析（GRA）相结合的多响应优化技术。利用田口L27正交阵列（OA）进行实验设计，以获得最低磨损率和摩擦系数（COF）。本研究表明，分别获得0.804和0.801的最高灰色关联度（GRG）和灰色模糊度（GFG）值，以获得1 wt% SiC、30 wt%增强材料、1500 m滑动距离、1.5 m/s滑动速度和15 N载荷的最佳操作参数。扫描电子显微镜（SEM）揭示了磨损表面机制、细小碎屑和犁削效应，这些在产生所需磨损特性方面起着重要作用。此外，还测试了颗粒混合复合材料在干燥和潮湿条件下的最佳组合的机械特性。
