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Effect of microstructural features on the thermal conducting behavior of carbon nanofiber-reinforced styrene- based shape memory polymer composites

机译:微观结构特征对碳纳米纤维增强苯乙烯类形状记忆聚合物复合材料热传导性能的影响

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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.
机译:本文介绍了一种新型分层微机械方法,可以仔细研究含有碳纳米纤维的苯乙烯类形状记忆聚合物复合材料的热导体。该研究主要集中在碳纳米纤维/形状记忆聚合物界面热阻和碳纳米纤维附聚的模拟中,作为碳纳米纤维形状记忆聚合物复合材料的两个临界微结构特征。将计算结果与可用的实验测量进行比较。结果发现,在分析中,必须在分析中结合出显着影响热传导行为的碳纳米纤维的非直线形状,以具有更现实的预测。由于碳纳米纤维/形状记忆聚合物界面抗性和碳纳米纤维聚集和波纹的影响,碳纳米纤维增强形状记忆聚合物复合材料的导热率显着降低。建议将碳纳米纤维均匀地分散到形状记忆聚合物中,并降低改善碳纳米纤维 - 苯乙烯复合热性能的界面抗性。此外,本研究表明,通过对准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体在含有随机分散的碳纳米纤维的形状记忆聚合物复合材料的那些中大大提高。研究了百分比,波纹参数,聚集程度,碳纳米纤维的材料特性,长度和直径的影响以及碳纳米河增强苯乙烯基形状记忆聚合物复合材料的热行为的界面热阻值。

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