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首页> 外文期刊>Journal of Reinforced Plastics and Composites >Optimizing the formulation of polypropylene and rubberwood flour composites for moisture resistance by mixture design
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Optimizing the formulation of polypropylene and rubberwood flour composites for moisture resistance by mixture design

机译:通过混合物设计优化聚丙烯和橡胶木粉复合材料的配方,以提高耐湿性

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D-optimal mixture experimental design was used to determine the optimal mixture of composites from rubberwood (Hevea brasiliensis) flour and recycled polypropylene and to systematically analyze the effects of composition, namely recycled polypropylene, rubberwood flour, maleic anhydride-grafted polypropylene, and ultraviolet stabilizer fractions. Panel samples were extruded, and their properties were characterized. The overall compositions significantly affected water absorption, thickness swelling, flexural strength and modulus, and maximum strain. Water absorption and thickness swelling increased with the fraction of rubberwood flour. At long immersion times, flexural strength and modulus decreased, but maximum strain increased with high fraction of rubberwood flour. The fraction of maleic anhydride-grafted polypropylene only slightly affected water absorption and flexural properties, while the ultraviolet stabilizer fraction had a clear negative effect increasing water absorption and decreasing flexural properties. The models fitted were used for optimization of a desirability score, substituting for the multiple objectives modeled. The optimal formulation found was 68.9 wt% recycled polypropylene, 25.0 wt% rubberwood flour, 5.0 wt% maleic anhydride-grafted polypropylene, 0.1 wt% ultraviolet stabilizer, and 1.0 wt% lubricant. This formulation of the composites can be used for most suitable applications based on the moisture resistance.
机译:D-最优混合实验设计用于确定橡胶木(巴西橡胶)粉和再生聚丙烯复合材料的最佳混合物,并系统分析再生聚丙烯,橡胶木粉,马来酸酐接枝聚丙烯和紫外线稳定剂等成分的影响分数。挤压面板样品,并表征其性能。整个组合物显着影响吸水率,厚度膨胀,弯曲强度和模量以及最大应变。吸水率和厚度膨胀率随橡胶木粉比例的增加而增加。在较长的浸泡时间下,抗弯强度和模量降低,但最大应变随着橡胶木粉含量的增加而增加。马来酸酐接枝的聚丙烯部分仅轻微影响吸水率和挠曲性能,而紫外线稳定剂部分具有明显的负面影响,增加吸水率并降低挠曲性能。拟合的模型用于优化合意性得分,替代建模的多个目标。发现的最佳配方是68.9 wt%的再生聚丙烯,25.0 wt%的橡胶木粉,5.0 wt%的马来酸酐接枝的聚丙烯,0.1 wt%的紫外线稳定剂和1.0 wt%的润滑剂。基于耐湿性,这种复合材料配方可用于最合适的应用。

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