Based on the grey relational analysis, this work proposes an effective approach for optimizing various injection moulding parameters on the wear behaviours of ultra-high molecular weight polyethylene (UHMWPE) with diverse performance characteristics. The injection moulding parameters are melting temperature, injection velocity and compaction time. The experimental data were used to calculate wear parameters, such as coefficient of friction, wear rate and hardness. Thirty runs were carried out using the response surface design to determine the optimal factor level condition. The graph and the response table in each level of the parameters are generated with help of grey relational grade. In addition to that, bovine serum is taken, which acts as a lubricant, and the sample hardness is tested. The results showed that there is an impact on the wear behaviour due to the contact load and melt temperature of UHMWPE. According to the grey relational grade, level 2 of injection moulding parameters has a greater effect than levels 1 and 3. With the help of a scanning electron microscope, the worn-out morphologies of samples were studied. Plastic deformation, ploughing, scratching, ironing and fatigue wear are the major wear processes of our study.

基于灰色关联分析，本工作提出了一种有效的方法来优化各种注塑参数对具有不同性能特征的超高分子量聚乙烯（UHMWPE）磨损行为的影响。注射成型参数是熔化温度、注​​射速度和压实时间。实验数据用于计算磨损参数，如摩擦系数、磨损率和硬度。使用响应面设计进行了三十次运行以确定最佳因子水平条件。借助灰色关联度生成各层次参数的图形和响应表。除此之外，还取牛血清作为润滑剂，并测试样品硬度。结果表明，UHMWPE 的接触载荷和熔体温度对磨损行为有影响。根据灰色关联度，注塑参数级别2的影响大于级别1和级别3。借助扫描电子显微镜，研究了样品的磨损形貌。塑性变形、犁耕、刮擦、熨烫和疲劳磨损是我们研究的主要磨损过程。