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Manufacturing of polymer/metal composites by fused deposition modeling process with polyethylene

机译:用聚乙烯融合沉积建模工艺制造聚合物/金属复合材料

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摘要

In this study, production of metal/polymer composites using polyethylene as the matrix with various contents of metal powder was investigated. Fused deposition modeling (FDM) process is one of the most popular and conventional additive manufacturing methods to produce three-dimensional (3D) specimens from computer-aided design data with complex geometry and lower prices in comparison with the alternative methods. Given the advantages of this process, it seems inevitable for the development of new materials. Utilizing semicrystalline plastics impose challenges for producing parts due to printing issues such as distortion and warpage. In this experimental work, a compounding production line was implemented to produce composite filaments with 25, 50, and 75 wt % of copper powder suitable for the FDM process. After dealing with printing issues, flexural, electrical conductivity, and bulk density tests were done. The micrographs of the specimens were examined via scanning electron microscopy to reveal the distribution of the copper particles. It is believed that the metal/polymer filament could be used to print new 3D parts. The material could be utilized in electromagnetic structures for some specific applications, such as shielding, with new properties. Also, by solving printing problems for a semicrystalline polymer, it can be encouraging to examine printing process for other rarely used thermoplastics. (c) 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 137, 48717.
机译:在该研究中,研究了使用聚乙烯作为具有各种金属粉末的基质的金属/聚合物复合材料的生产。融合沉积建模(FDM)过程是从计算机辅助设计数据产生三维(3D)标本的最流行和传统的添加剂制造方法之一,与替代方法相比,具有复杂的几何形状和较低的价格。鉴于这一过程的优势,新材料的发展似乎是不可避免的。利用半结晶塑料由于打印和翘曲等印刷问题,利用半晶塑料造成零件的挑战。在该实验工作中,实施了复合生产线,以生产适用于FDM工艺的25,50和75wt%的铜粉的复合长丝。在处理印刷问题后,完成弯曲,导电性和批量密度测试。通过扫描电子显微镜检查标本的显微照片以露出铜颗粒的分布。据信,金属/聚合物长丝可用于印刷新的3D部件。材料可用于用于一些特定应用的电磁结构,例如屏蔽,具有新的性质。而且,通过求解半结晶聚合物的印刷问题,可以促进用于检查其他很少使用的热塑性塑料的印刷方法。 (c)2019 Wiley期刊,Inc.J.Phill。聚合物。 SCI。 2019,137,48717。

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