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树脂基复合材料缺陷表征与评价方法研究综述
王潘丁,牛国浩,李元晨,章凌,雷红帅
0
(北京理工大学先进结构技术研究院, 北京 100081;北京宇航系统工程研究所,北京 100076)
摘要:
复合材料结构中的制造缺陷严重影响航天装备的服役性能,如何实现复合材料缺陷的高精度检测表征与评价对航天装备的安全性设计意义重大。针对树脂基复合材料缺陷的先进表征技术及评价方法进行概述,重点介绍了复合材料成型工艺与典型缺陷类型、常用复合材料缺陷检测与原位表征技术和复合材料缺陷分析评价方法。通过对复合材料缺陷研究现状的梳理,可见计算机断层扫描技术和基于图像的数值计算方法正以其独特的精确度优势在复合材料缺陷的表征与分析领域崭露头角。同时还对先进的复合材料检测与评价技术在航天装备中复合材料结构安全性设计与可靠性分析方面的应用和发展趋势进行了展望。
关键词:  纤维增强树脂基复合材料  成型工艺  缺陷  缺陷表征  性能评价
DOI:
基金项目:国家自然科学基金(12002031);国家自然科学基金(12027901); 国家自然科学基金(11872012)
A Review of Research on Internal Defects Characterization and Evaluation Methods of Fiber Reinforced Polymer Composites
WANG Panding,NIU Guohao,LI Yuanchen,ZHANG Ling,LEI Hongshuai
(Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China;Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China)
Abstract:
The service performances of composite equipment are heavily determined by the manufacture-induced defects. It is important to develop the advanced internal defect testing technique and evaluation method for the safety design of aerospace equipment. This paper provides an overview of advanced characterization techniques and evaluation methods for internal defects in resin matrix composites, focusing on the composite manufacture processes and typical internal defects, internal ex-situ and in-situ testing methods for composite defect detection, and methods for analyzing and evaluating the internal defects effects. Based on the current research status of composite defects, it is evident that computed tomography and image-based numerical computation methods are emerging in the characterization and analysis of composite defects with their unique advantage of accuracy. Meanwhile, the development trend of advanced characterization techniques and accurate computational analysis methods for composite structure safety design and reliability analysis in aerospace equipment are prospected.
Key words:  Fiber reinforced polymer composites  Molding process  Internal defects  Defects characterization  Performance evaluation

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