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A novel algorithm for significantly increasing the fiber volume fraction in the reconstruction model with large fiber aspect ratio
Journal of Industrial Textiles ( IF 3.2 ) Pub Date : 2021-07-12 , DOI: 10.1177/15280837211032078
Zeyang Li 1 , Zhao Liu 1 , Yongbo Xue 2 , Ping Zhu 1
Affiliation  

Geometric reconstruction is an important precondition for the computational micromechanics analysis of chopped fiber reinforced composites. When fiber aspect ratio increases, the maximum fiber volume fraction in reconstruction model reduces rapidly because of jamming limit, which greatly limits the application of reconstruction methods. A novel algorithm is proposed to significantly increase the fiber volume fraction in the reconstruction model of the chopped fiber reinforced composites with large fiber aspect ratio. The algorithm is made up of two stages. At the first stage, fibers are packed into the sublayers of initial filling space to preliminarily design fiber orientation distribution. The unidirectional arrangement of fibers is adopted to achieve high fiber volume fraction. At the second stage, a new multi-step fiber shaking strategy is used to introduce randomness into reconstruction model. The high fiber volume fraction over 30% is achieved within the wide range of fiber aspect ratio from 50 to 200 while the results of the existing methods are not more than 10%, showing the remarkable increase of the fiber volume fraction under large fiber aspect ratio. The proposed algorithm is verified by the statistical results of the four representative microstructural characteristics from reconstruction model and realistic material.



中文翻译:

一种显着提高大纤维纵横比重构模型中纤维体积分数的新算法

几何重建是短切纤维增强复合材料计算微观力学分析的重要前提。当纤维纵横比增大时,由于干扰限制,重建模型中的最大纤维体积分数迅速减小,极大地限制了重建方法的应用。提出了一种新算法,以显着增加大纤维纵横比短切纤维增强复合材料重建模型中的纤维体积分数。该算法由两个阶段组成。在第一阶段,纤维被填充到初始填充空间的亚层中,以初步设计纤维取向分布。采用纤维单向排列,实现高纤维体积分数。在第二阶段,一种新的多步纤维振动策略用于将随机性引入重建模型。在50-200的纤维长宽比范围内实现了30%以上的高纤维体积分数,而现有方法的结果不超过10%,表明在大纤维长宽比下纤维体积分数显着增加. 所提出的算法通过来自重建模型和现实材料的四种代表性微观结构特征的统计结果进行了验证。

更新日期:2021-07-12
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