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Effect of microstructural features on the thermal conducting behavior of carbon nanofiber–reinforced styrene-based shape memory polymer composites
Journal of Intelligent Material Systems and Structures ( IF 2.4 ) Pub Date : 2020-06-20 , DOI: 10.1177/1045389x20932216
Ning Liu 1 , Lilin Jiang 2
Affiliation  

This article presents a novel hierarchical micromechanics approach to carefully investigate the thermal conductivities of styrene-based shape memory polymer composites containing carbon nanofibers. The research is mainly focused on the simulation of carbon nanofiber/shape memory polymer interfacial thermal resistance and carbon nanofiber agglomeration as two critical microstructural features of carbon nanofiber–shape memory polymer composite materials. The computed results are compared with the available experimental measurements. It is found that both of those microstructural factors along with carbon nanofiber non-straight shape significantly affecting the thermal conducting behavior must be incorporated in the analysis to have a more realistic prediction. The thermal conductivity of carbon nanofiber–reinforced shape memory polymer composites reduces significantly due to the effects of carbon nanofiber/shape memory polymer interfacial resistance and carbon nanofiber agglomeration and waviness. It is suggested to uniformly disperse carbon nanofibers into the shape memory polymers and reduce interfacial resistance for improving the carbon nanofiber–styrene composite thermal properties. In addition, the present study reveals that the effective thermal conductivities of the shape memory polymer composites reinforced by aligned carbon nanofibers are greatly enhanced over those of the shape memory polymer composites containing randomly dispersed carbon nanofibers. The effects of percentage, waviness parameters, degree of agglomeration, material properties, length and diameter of carbon nanofibers as well as interfacial thermal resistance value on the thermal behavior of carbon nanofiber–reinforced styrene-based shape memory polymer composites are investigated.

中文翻译:

微观结构特征对碳纳米纤维增强苯乙烯基形状记忆聚合物复合材料导热性能的影响

本文提出了一种新的分层微观力学方法,以仔细研究含有碳纳米纤维的苯乙烯基形状记忆聚合物复合材料的热导率。研究主要集中在模拟碳纳米纤维/形状记忆聚合物界面热阻和碳纳米纤维团聚作为碳纳米纤维-形状记忆聚合物复合材料的两个关键微观结构特征。计算结果与可用的实验测量值进行比较。结果表明,必须将这两个微观结构因素以及显着影响导热行为的碳纳米纤维非直线形状纳入分析,以进行更现实的预测。由于碳纳米纤维/形状记忆聚合物界面电阻和碳纳米纤维团聚和波纹度的影响,碳纳米纤维增强形状记忆聚合物复合材料的热导率显着降低。建议将碳纳米纤维均匀分散到形状记忆聚合物中并降低界面电阻,以提高碳纳米纤维-苯乙烯复合材料的热性能。此外,本研究表明,与含有随机分散的碳纳米纤维的形状记忆聚合物复合材料相比,由排列的碳纳米纤维增强的形状记忆聚合物复合材料的有效热导率大大提高。百分比、波纹度参数、团聚程度、材料特性、
更新日期:2020-06-20
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