Hybrid natural fibre reinforced polymer composites have emerged as an eco-friendly alternative to conventional structural materials due to their low cost and high strength-to-weight ratio. It is evident from the literature that polymer composites have found their place in tribological applications too. Therefore, in this research work, hybrid abaca–epoxy composites were fabricated using hand layup technique with red mud as filler. The influence of wt. % of abaca (A), wt. % of red mud (B) and particle size of red mud (C) on sliding wear of hybrid composite is established using response surface method (RSM). RSM also yields a mathematical model for optimization of sliding wear of hybrid composites. Composite with optimum values of A, B and C was found to be most suited for minimum sliding wear of hybrid composites. Further, on the basis of experimental data, a fuzzy logic model is also framed for the prediction of sliding wear of hybrid composites. Nine test case experiments were performed to validate the developed fuzzy model. It was observed from the results that developed fuzzy model can predict the sliding wear of hybrid composites with an accuracy of 87%.

混合天然纤维增强聚合物复合材料因其低成本和高强度重量比而成为传统结构材料的环保替代品。从文献中可以明显看出，聚合物复合材料也已在摩擦学应用中找到了自己的位置。因此，在这项研究工作中，使用赤泥作为填料的手工铺网技术制造了蕉麻-环氧杂化复合材料。重量的影响 蕉麻（A）的重量百分比 使用响应面法（RSM）确定了杂化复合材料滑动磨损中的赤泥（B）的百分数和赤泥（C）的粒径。RSM还提供了一个数学模型，用于优化混合复合材料的滑动磨损。发现具有最佳A，B和C值的复合材料最适合混合复合材料的最小滑动磨损。进一步，在实验数据的基础上，还建立了模糊逻辑模型，用于预测复合材料的滑动磨损。进行了9个测试案例实验，以验证所开发的模糊模型。从结果可以看出，开发的模糊模型可以预测杂化复合材料的滑动磨损，精度为87％。