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Wood-Polypropylene Composites: Influence of Processing on the Particle Shape and Size in Correlation with the Mechanical Properties Using Dynamic Image Analysis

机译:木聚丙烯复合材料:使用动态图像分析的颗粒形状和尺寸的处理与机械性能相关的影响

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摘要

The particle size and shape are of momentous significance for the mechanical properties of plastic composites. However, natural fillers, like wood, are not consistent in these attributes. In order to investigate the shared traits between these characteristics, WPCs were produced using polypropylene, hardwood and softwood fillers with different particle sizes and a coupling agent. Afterwards, specimens were processed using an injection molding machine. The filler sizes and shapes were measured using dynamic image analysis. Furthermore, a shortening of coarser particles was detected. Mechanical tests were carried out to gain information about the tensile, flexural and Charpy impact properties. Neither very coarse nor very fine particles showed the best results. Instead, medium-sized particles proved to be the best option. The evaluation of the particle geometry verified a definite correlation between the shape and the mechanical properties, especially regarding the convexity, which can be a useful indicator of the quality of fiber-matrix interaction. The fiber orientation in the matrix was visualized with images taken by X-ray micro tomography.
机译:粒度和形状对于塑料复合材料的机械性能具有重要意义。然而,在这些属性中,天然填料如木材不一致。为了研究这些特性之间的共同性状,使用具有不同颗粒尺寸和偶联剂的聚丙烯,硬木和软木填料生产WPC。然后,使用注塑机加工样品。使用动态图像分析测量填充尺寸和形状。此外,检测较粗糙颗粒的缩短。进行机械测试以获取有关拉伸,弯曲和夏奇的影响性质的信息。既不是非常粗糙也不是非常细的颗粒都显示出最佳效果。相反,中尺寸粒子被证明是最佳选择。粒子几何的评价验证了形状和机械性能之间的明确相关性,特别是关于凸起,这可以是光纤矩阵相互作用质量的有用指标。用X射线微层面拍摄的图像可视化矩阵中的纤维取向。

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