基于随机算法的纤维微观结构渗透率预报及树脂流动数值模拟研究

doi:10.19936/j.cnki.2096-8000.20210328.006

复合材料科学与工程 ›› 2021, Vol. 0 ›› Issue (3): 38-44.DOI: 10.19936/j.cnki.2096-8000.20210328.006

基于随机算法的纤维微观结构渗透率预报及树脂流动数值模拟研究

李晨^1,2, 黄甲^3*, 陈程^1,2, 高丽敏^1,2

1.中国商飞北京民用飞机技术研究中心民用飞机结构与复合材料北京市重点实验室,北京102211;
2.中国商飞北京民用飞机技术研究中心结构完整性研究部,北京102211;
3.上海理工大学机械工程学院,上海200093

收稿日期:2020-09-24 出版日期:2021-03-28 发布日期:2021-04-30
通讯作者: 黄甲(1991-),男,博士,讲师,主要从事复合材料力学性能方面的研究,jia.huang@usst.edu.cn。
作者简介:李晨(1989-),男,博士,工程师,主要从事复合材料损伤容限、复合材料成型工艺和数字化制造等方面的研究。

RESEARCH ON PERMEABILITY PREDICTION OF MICRO FIBROUS STRUCTURE BASED ON STOCHASTIC ALGORITHM AND NUMERICAL SIMULATION OF RESIN FLOW

LI Chen^1,2, HUANG Jia^3*, CHEN Cheng^1,2, GAO Li-min^1,2

1. Beijing Key Laboratory of Civil Aircraft Structures and Composite Materials, COMAC Beijing Aircraft Technology Research Institute, China, Beijing 102211, China;
2. Structure Integrity Department, COMAC Beijing Aircraft Technology Research Institute, China, Beijing 102211, China;
3. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2020-09-24 Online:2021-03-28 Published:2021-04-30

摘要/Abstract

摘要： 树脂基纤维增强复合材料的液体成型工艺制件的质量与制备过程中树脂流动浸渍情况紧密相关,微观尺度纤维结构和微观渗透率作为介观尺度和宏观尺度的基石,对树脂的流动浸渍具有直接影响,然而微观尺度难以有效开展试验,数值模拟成为更有效的研究手段。本文采用Monte Carlo随机算法建立了微观尺度纤维束内单丝随机排布结构和纤维束内、束外介观尺度结构模型;基于有限元方法对纤维束内结构进行渗透率预报,并创造性地采用Phase Field相场方法考虑表面张力和毛细力进行树脂流动数值模拟。结果表明:本文所建立的纤维单丝随机结构渗透率预报方法较传统经验公式预报精度显著提高;本文模拟的微观纤维束内孔隙的形成过程,对从微观尺度系统阐述树脂流动浸渍过程和微观气泡的产生机理具有重要意义。

关键词: 纤维微观尺度, 随机算法, 渗透率, 树脂流动, 数值模拟, 复合材料

Abstract: The quality of resin matrix fiber reinforced composites is closely related to the resin flow impregnation during the manufacturing process. As the cornerstone of meso scale and macro scale, the micro scale fiber structure and micro permeability have a direct impact on the flow impregnation of resin. However, it is difficult to effectively carry out experiments at the micro scale. Thus, numerical simulation has become a more effective research method. In this paper, Monte Carlo stochastic algorithm is applied to establish the micro scale models of the random arrangement of filaments in the fiber tow and the mesoscopic scale structure intra and inter the fiber tows. The permeability of the inner structure of the fiber tow is predicted based on the finite element method, and the phase field method is creatively used to simulate the resin flow considering the surface tension and capillary force. The results show that the prediction accuracy of the random structure permeability prediction method of fiber filament established in this paper is significantly higher than that of the traditional empirical formula. At the same time, the pore formation process in the micro fiber bundle is simulated, which is of great significance to expound the resin flow impregnation process and the generation mechanism of micro bubbles from the micro scale system.

Key words: fiber micro scale, stochastic algorithm, permeability, resin flow, numerical simulation, composites

中图分类号:

TB332

李晨, 黄甲, 陈程, 高丽敏. 基于随机算法的纤维微观结构渗透率预报及树脂流动数值模拟研究[J]. 复合材料科学与工程, 2021, 0(3): 38-44.

LI Chen, HUANG Jia, CHEN Cheng, GAO Li-min. RESEARCH ON PERMEABILITY PREDICTION OF MICRO FIBROUS STRUCTURE BASED ON STOCHASTIC ALGORITHM AND NUMERICAL SIMULATION OF RESIN FLOW[J]. COMPOSITES SCIENCE AND ENGINEERING, 2021, 0(3): 38-44.

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基于随机算法的纤维微观结构渗透率预报及树脂流动数值模拟研究

RESEARCH ON PERMEABILITY PREDICTION OF MICRO FIBROUS STRUCTURE BASED ON STOCHASTIC ALGORITHM AND NUMERICAL SIMULATION OF RESIN FLOW

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