An immense technological challenge of polypropylene-based composites is in optimising the effect of multicomponent fractions on their mechanical properties. Hence the main aim of the present study is to carry out a systematic statistical approach to investigate the impact of multicomponent fractions on the mechanical properties of Polypropylene (PP)/Talc/ Polyolefin Elastomer (POE) and maleic-anhydride-grafted Polypropylene (PPMA) composites. Response Surface Methodology (RSM) based on Central Composite Design (CCD) has been implemented as the design of experiment technique. With respect to CCD and three different weight percentages of Talc (0, 15, 30 wt%), POE (0, 10, 20 wt%), and PPMA (0, 2.5, 5 wt%), 17 experiments were designed and prepared via a conventional melt blending technique. Analysis of variance (ANOVA) with diagnostic figures has been proposed to derive mathematical models to predict the mechanical properties of the utilised PP based composite. The findings showed that the concentration of POE, particularly at a lower amount, play a significant role and can predominantly affect the properties of the composites. The results also revealed that in spite of Talc and PPMA, adding of POE caused a noticeable rise in ductility and toughness of composite and a reduction in the stiffness. It was also found that all the assessed properties can be maximized simultaneously, providing the content of Talc, POE, and PPMA set to be 30%, 6.228%, and 2.514%, respectively. The findings are found to be aligned with the scanning electron microscopy micrographs and the DSC analysis data.

聚丙烯基复合材料的一项巨大技术挑战是优化多组分馏分对其机械性能的影响。因此，本研究的主要目的是进行系统的统计方法，以研究多组分馏分对聚丙烯（PP）/滑石/聚烯烃弹性体（POE）和马来酸酐接枝聚丙烯（PPMA）的机械性能的影响。复合材料。基于中央复合设计（CCD）的响应面方法论（RSM）已经被实现为实验技术的设计。关于CCD和滑石粉（0、15、30 wt％），POE（0、10、20 wt％）和PPMA（0、2.5、5 wt％）的三种不同重量百分比，设计并准备了17个实验通过常规的熔融共混技术。已提出利用诊断数字进行方差分析（ANOVA）来推导数学模型，以预测所用PP基复合材料的机械性能。研究结果表明，POE的浓度，特别是较低的浓度，起着重要的作用，并且可以主要影响复合材料的性能。结果还表明，尽管使用了滑石粉和PPMA，但POE的添加却显着提高了复合材料的延展性和韧性，并降低了刚度。还发现，如果将滑石粉，POE和PPMA的含量分别设置为30％，6.228％和2.514％，则可以同时最大化所有评估的特性。发现该发现与扫描电子显微镜显微照片和DSC分析数据一致。