碳纳米管复合材料损伤层析成像方法研究

项目名称： 碳纳米管复合材料损伤层析成像方法研究

项目编号： No.51503225

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 一般工业技术

项目作者： 高丽敏

作者单位： 中国商用飞机有限责任公司北京民用飞机技术研究中心

项目金额： 20万元

中文摘要： 先进树脂基复合材料在航空航天领域获得广泛应用。在服役复杂载荷与环境条件下，复合材料易产生各种模式的损伤，对结构安全性产生较大影响。本项目围绕复合材料结构健康监测技术开展研究，提出一种碳纳米管复合材料损伤的层析成像方法，对复合材料中的损伤进行监测与分析。该方法利用碳纳米管导电性好、尺寸小的特点，将其分散在树脂基体中形成导电网络，利用此网络传感并监测复合材料中的损伤，实现监测功能与复合材料结构一体化。采用层析成像的方法对损伤成像，并进行定位和定量化分析。项目将重点研究碳纳米管复合材料损伤层析成像的定位和定量表征问题，解决碳纳米管在树脂基体中的分散及其复合材料成型技术等关键技术问题。研究成果将为基于碳纳米管的复合材料损伤监测提供理论依据和技术手段。

中文关键词： 碳纳米管；复合材料；健康监测；层析成像

英文摘要： Advanced fiber reinforced polymer composites are known to possess outstanding mechanical and fatigue properties and can be designed according to structural requirements and their structural applications continue to expand. Most structural composites are susceptible to variable damage modes under adverse conditions which have significant implications on structure safety. In this research, it is tried to contribute to the structure health monitoring in fiber composites. A damage sensing approach of composites based on carbon nanotubes by electrical resistance tomography is established and canbe used to monitor and evaluate damages in composites. The small diameter and excellent electrical conductivity of carbon nanotube enable them penetrate the small gaps between fibers to form an electrical percolation network. This network could be used to monitor damage evolution in fiber composites and realize the integration of structural and functional performance. Electrical resistance tomography is used to locate and quantify damages. Aim of the work is to locate and characterize damages quantitatively in fiber composites. Key technologies include carbon nanotubes distribution to composite with high wight percentage. This research will demonstrate the feasibility and benefits of electrical resistance measurements in the sensing of damage for fiber composites using carbon nanotubes and offer the potential for in-service health monitoring of composite structures.

英文关键词： carbon nanotube;composite;structure health monitoring;tomography