复合材料科学与工程 ›› 2021, Vol. 0 ›› Issue (6): 5-11.DOI: 10.19936/j.cnki.2096-8000.20210628.001

• 基础研究 •    下一篇

基于微CT-RVE模型和Mori-Tanaka模型的短切碳纤维增强尼龙力学性能预测方法研究

刘颖1, 马艺涛1, 刘强1,2*   

  1. 1.中山大学 智能工程学院,深圳 518000;
    2.广东省轻量化电动汽车及零配件开发中心,东莞 523000
  • 收稿日期:2020-09-21 出版日期:2021-06-28 发布日期:2021-08-03
  • 通讯作者: 刘强(1981-),男,博士后,教授,主要从事交通安全及汽车轻量化方面的研究,Liu5168198110@126.com。
  • 作者简介:刘颖(1996-),女,硕士研究生,主要从事碳纤维尼龙复合材料性能及其应用方面的研究。
  • 基金资助:
    国家自然科学基金资助项目(51675540);东莞市社会科技发展重点项目(20185071551596);中山大学新工科研究与实践项目

STUDY ON ELASTIC PROPERTIES PREDICTION METHOD OF CARBON FIBER REINFORCED NYLONCOMPOSITE BASED ON CT-RVE MODEL AND MORI-TANAKA MODEL

LIU Ying1, MA Yi-tao1, LIU Qiang1,2*   

  1. 1. School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518000, China;
    2. Lightweight Electric Vehicle and Parts Engineering Center of Guangdong Province, Dongguan 523000, China
  • Received:2020-09-21 Online:2021-06-28 Published:2021-08-03

摘要: 本文研究了基于微CT图像的纤维增强复合材料代表性体积元模型(CT-RVE)建构方法和性能预测方法。基于四种尺寸的CT-RVE模型对碳纤维增强尼龙(PA66CF)弹性性能开展了预测,并与Mori-Tanaka模型(M-T)预测结果进行了对比。采用注塑成型工艺制备了10wt%纤维含量的PA66CF拉伸样件,使用扫描电子显微镜(SEM)获取样件拉伸断面信息,使用X射线CT断层扫描获取内部微观结构信息,综合运用ImageJ、Photoshop、Mimics、Cero、HyperMesh、ABAQUS等工具,建立了四种尺寸的CT-RVE模型,并与具有相同几何参数的M-T模型在性能预测结果方面进行对比分析。研究结果表明:RVE模型中纤维的随机分布具有规律性,纤维数量与RVE体积呈线性增长关系,纤维取向以X方向为主;CT-RVE模型对弹性性能的预测结果略低于M-T模型,当RVE尺寸为114.4 μm×114.4 μm×77 μm时,CT-RVE模型与M-T模型对弹性性能预测结果相近。本文的研究可为短纤增强复合材料的性能精确预测提供指导。

关键词: 短切碳纤维, 微观结构, CT扫描, 仿真模型, Mori-Tanaka模型, 复合材料

Abstract: Mechanical properties prediction of short fiber reinforced composites is a difficult point in engineering application. In this paper, the construction method and the performance prediction analysis of representative volume element model based on micro-CT images (CT-RVE) of fiber reinforced composites are studied. The elastic properties of carbon fiber reinforced nylon 66 (PA66CF) were predicted based on the CT-RVE model of four sizes, and the results were compared with those of the Mori-Tanaka model (M-T). The PA66CF tensile specimen with fiber fraction of 10wt% was prepared by injection molding process. The fracture surface of tensile specimen was observed by scanning electron microscope (SEM). X-ray computed tomography (CT) images of CFRP was used to obtain internal microscopic structure information. The four dimensions of CT-RVE model which were established by using ImageJ, Photoshop, Mimics, Cero, HyperMesh and ABAQUS, predicted the elastic performance of PA66CF materials. And the prediction results were compared with the CT-RVE models and M-T models which had the same geometric parameters. The results show that the random distribution of fibers in the RVE model is regular, the number of fibers and the volume of RVE are linearly increasing, the volume fraction of fibers is about 3%~5%, and the orientation of fibers is mainly in the X direction. When the RVE size is 114.4 μm×114.4 μm×77 μm, the prediction results of the CT-RVE model and the M-T model on the elastic performance were similar. When the RVE size is too large or too small, M-T model can give reasonable prediction on the elastic performance, while CT-RVE model has significantly smaller prediction results on the longitudinal elastic performance of fiber. The research results can provide guidance for the accurate prediction of the properties of short fiber reinforced composites.

Key words: short carbon fiber; microstructure; CT scan; simulation model; Mori-Tanaka model; composites

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