短纤维复合材料微观模型重构方法

Reconstruction of Micro Model for Short Fiber Reinforcement Composites

针对短纤维增强复合材料(Short Fiber Reinforcement Composites, SFRC)内部随机分布的纤维空间结构,提出一种SFRC内部纤维的快速建模方法。以工业CT扫描SFRC获得三维STL点云模型作为研究对象,基于随机抽样一致(Random Sample Consensus, RANSAC)算法将原始模型内部不规则纤维曲面拟合为圆柱面,并利用CATIA二次开发技术完成了纤维的快速建模。为验证重构模型的准确性,结合细观力学均质化理论及有限元方法,计算了原始模型与重构模型等效弹性模量,结果表明吻合度良好,验证了上述重构建模方法的合理性与有效性。

This paper proposes a fast modeling approach of short fiber reinforcement composites(SFRC)with randomly distributed fiber-reinforced micro-structure.The original SFRC 3D STL model was obtained by industrial CT scan.Fiber recognition and cylindrical surface fitting in the original model were achieved by using the random sample consensus algorithm.Then,CATIA secondary development technology was used to complete the rapid reconstruction of fiber.In order to verify the accuracy of the reconstructed model,effective elastic modules of the original and reconstructed model were computed with the homogenization theory and finite element method,the results show a good fit which proves the rationality and effectiveness of the reconstructed method.