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基于多尺度建模的碳纤维增强聚合物复合材料热学研究

Thermal Study of Carbon-Fiber-Reinforced Polymer Composites Using Multiscale Modeling.

作者信息

Nasri Wiem, Driss Zied, Djebali Ridha, Lee Kyu-Yeon, Park Hyung-Ho, Bezazi Abderazak, Reis Paulo N B

机构信息

Laboratory of Electro-Mechanic Systems (LASEM), National School of Engineers of Sfax (ENIS), University of Sfax (US), B.P. 1173, Road Soukra km 3.5, Sfax 3038, Tunisia.

UR22ES12: Modeling, Optimization and Augmented Engineering, ISLAI Béja, University of Jendouba, Béja 9000, Tunisia.

出版信息

Materials (Basel). 2023 Nov 19;16(22):7233. doi: 10.3390/ma16227233.

DOI:10.3390/ma16227233
PMID:38005161
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10673121/
Abstract

The layered fibers of carbon-fiber-reinforced polymer (CFRP) composites exhibit low thermal conductivity (TC) throughout their thickness due to the poor TC of the polymeric resin. Improved heat transmission inside the hydrogen storage tank during the filling process can reduce further compression work, and improved heat insulation can minimize energy loss. Therefore, it is crucial to understand the thermal properties of composites. This paper reports the thermal behavior of plain-woven CFRP composite using simulation at the micro-, meso-, and macro-scales. The TC was predicted numerically and compared to experimental findings and analytical models. Good results were found. Using the approach of multi-scale modeling, a parametric study was carried out to analyze in depth the influence of certain variables on thermal properties. The study revealed that both fiber volume fraction and temperature significantly influenced the TC of the composite, with the interphase fiber/matrix thickness following closely in terms of impact. The matrix porosity was found to have a relatively slighter impact, particularly within the porosity range of 5 to 15%.

摘要

由于聚合物树脂的热导率较低，碳纤维增强聚合物（CFRP）复合材料的层状纤维在其整个厚度范围内都表现出较低的热导率。在储氢罐的填充过程中，改善内部的热传递可以减少进一步的压缩功，而改善隔热则可以将能量损失降至最低。因此，了解复合材料的热性能至关重要。本文通过微观、细观和宏观尺度的模拟，报道了平纹编织CFRP复合材料的热行为。对热导率进行了数值预测，并与实验结果和分析模型进行了比较。结果良好。采用多尺度建模方法，进行了参数研究，以深入分析某些变量对热性能的影响。研究表明，纤维体积分数和温度都对复合材料的热导率有显著影响，相间纤维/基体厚度的影响紧随其后。发现基体孔隙率的影响相对较小，特别是在5%至15%的孔隙率范围内。

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