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海军航空器用树脂基复合材料海洋环境老化行为的研究
引用本文:郭健,张天翼.海军航空器用树脂基复合材料海洋环境老化行为的研究[J].装备环境工程,2017,14(5):102-108.
作者姓名:郭健  张天翼
作者单位:1. 驻沈阳地区航空军代表室,沈阳,110034;2. 北京航空航天大学 材料科学与工程学院,北京,100191
摘    要:为了全面地了解国内外关于海军航空器用树脂基复合材料的海洋环境老化行为研究现状,以期能为我国的国防事业作出一定的贡献,在充分分析海洋环境的基础上,根据海军航空器中树脂基复合材料的具体使用情况,对相关研究文献及报告进行了大量的分析,总结了国内外树脂基复合材料在海洋环境中老化行为及寿命预测的研究进展。现阶段的研究主要集中在人工加速老化方面,对自然环境老化以及两种老化试验之间当量换算关系的研究还有待完善。同时,根据实际发展需要,对如何进一步开展树脂基复合材料在海洋环境中的老化研究提出了一些建议。

关 键 词:海洋环境  海军航空器  树脂基复合材料  老化  寿命预测
收稿时间:2016/11/30 0:00:00
修稿时间:2017/5/15 0:00:00

Research Overview on Aging Behaviours of Resin Matrix Composites for Naval Aircrafts in Marine Environment
GUO Jian and ZHANG Tian-yi.Research Overview on Aging Behaviours of Resin Matrix Composites for Naval Aircrafts in Marine Environment[J].Equipment Environmental Engineering,2017,14(5):102-108.
Authors:GUO Jian and ZHANG Tian-yi
Institution:Office of Air Force Military Representative in Shenyang, Shenyang 110034, China and School of Material Science and Engineering, Beihang University, Beijing 100191, China
Abstract:The paper aims to fully understand worldwide current research status about aging behaviors of navy aircraft resin based composites in marine environment, and contribute to China's national defense. Based on sufficient analyses of marine environment and according to specific using of resin matrix composites in navy aircrafts, a lot of relevant research literatures and reports were analyzed. Works of scientific community concerning resin matrix composites at home and abroad were summarized in the Marine environment aging behavior, as well as the research progress of life prediction. Currently, researchers mainly focus on artificial accelerated aging. The aging in natural environment and the equivalent conversion relationship between the two kinds of aging test remains to be perfected. At the same time, according to the actual development needs, some suggestions on how to carrying out aging tests of resin matrix composites were put for-ward.
Keywords:marine environment  navy aircraft  resin matrix composites  aging behavior  life prediction
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