杂化碳填充热塑性复合材料:合成石墨和石墨烯纳米片对聚酰胺热力学性能的协同效应

IF 2.1 4区 材料科学 Q3 MATERIALS SCIENCE, COMPOSITES
L. Altay, Elif Kizilkan, Y. Seki, A. Isbilir, M. Sarıkanat
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引用次数: 0

摘要

与传统的聚酰胺相比,聚酰胺4.6是高温聚酰胺的一种,因为它的聚合物链成分提高了它的尺寸稳定性、抗蠕变性和耐化学性。研究了杂化合成石墨和石墨烯纳米片填料对聚酰胺4.6基复合材料导热性能的影响。采用双螺杆挤出机制备了人造石墨和石墨烯纳米片填充聚酰胺4.6基复合材料。电学、力学、热学和形态学的变化也被检查。40 wt.%合成石墨和5 wt.%石墨烯纳米片复合材料的面内和透面导热系数最高,分别为21.65和4.04 W/mK。据报道,在聚酰胺4.6中使用杂化碳填料可以获得更好的导热系数值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid carbon filled thermoplastic composites: synergistic effect of synthetic graphite and graphene nanoplatelets on thermal and mechanical properties of polyamide 4.6
ABSTRACT In comparison with conventional polyamides, polyamide 4.6 is known as one of the high-temperature polyamides due to polymer chain constituents which also enhances its dimensional stability, creep resistance, and chemical resistance. The effect of hybrid synthetic graphite and graphene nanoplatelets fillers on thermal conductivity of polyamide 4.6 based composites was investigated in this study. Synthetic graphite and graphene nanoplatelets filled polyamide 4.6 based composites were fabricated using a twin-screw extruder. The variations on electrical, mechanical, thermal, and morphological properties were also examined. The highest in-plane and through-plane thermal conductivity values were obtained for hybrid 40 wt.% synthetic graphite and 5 wt.% graphene nanoplatelets filled composites as 21.65 and 4.04 W/mK, respectively. It was reported that the usage of hybrid carbon fillers in polyamide 4.6 leads to better thermal conductivity value..
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来源期刊
Plastics, Rubber and Composites
Plastics, Rubber and Composites 工程技术-材料科学:复合
CiteScore
4.10
自引率
0.00%
发文量
24
审稿时长
4 months
期刊介绍: Plastics, Rubber and Composites: Macromolecular Engineering provides an international forum for the publication of original, peer-reviewed research on the macromolecular engineering of polymeric and related materials and polymer matrix composites. Modern polymer processing is increasingly focused on macromolecular engineering: the manipulation of structure at the molecular scale to control properties and fitness for purpose of the final component. Intimately linked to this are the objectives of predicting properties in the context of an optimised design and of establishing robust processing routes and process control systems allowing the desired properties to be achieved reliably.
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