复合材料红外无损检测的建模分析和热像处理

郭兴旺; Vavilov V; 郭广平; 邵威; 刘颖韬

复合材料红外无损检测的建模分析和热像处理

1.
北京航空航天大学机械工程及自动化学院, 北京 100083
2. 俄罗斯托姆斯克理工大学 Russia 634028, Tomsk, 28
3. 北京航空材料研究院,北京 100095
4. 北京航空航天大学机械工程及自动化学院, 北京 100083

基金项目: 国家自然科学基金资助项目(50175003); 航空科学基金资助项目(02G51050)

详细信息

作者简介:
郭兴旺(1964-),男,内蒙和林人,副教授, xingwangguo@buaa.edu.cn.

中图分类号: V 258⁺.3
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出版历程
- 收稿日期: 2003-11-15
- 网络出版日期: 2004-04-30

Modeling and image processing in infrared thermographic NDT of composite materials

1.
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
2. Tomsk Polytechnic University, Russia 634028, Tomsk, 28
3. Beijing Institute of Aeronautical Materials,Beijing 100095, Chin
4. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

摘要

摘要: 红外热成像无损检测由于检测面积大、速度快和非接触从而在复合材料缺陷检测中的应用越来越广泛.对碳纤维增强塑料的红外热成像无损检测从数学建模和热像数据处理2个方面作了研究.针对含有teflon夹片的碳纤维增强塑料试件的红外无损检测实验中出现的缺陷表面温差信号为负的"非传统"现象提出了新的数学模型,作了仿真计算,解决了常规模型预测结果与实验结果之间的矛盾.应用5种国际上流行的热像数据处理方法对实验数据进行了处理,并对各种处理方法用统计方法作了比较,结果表明傅里叶变换和相关分析法具有最高的信噪比.
- 复合材料 /
- 数学模型 /
- 图像处理 /
- 红外热成像检测
Abstract: Infrared thermographic non-destructive testing(IT NDT) was increasingly used in the inspection of composite materials due to large surface,rapid and noncontact testing capabilities. The modeling and thermal image processing of the IT NDT of carbon fibre reinforced plastic(CFRP) were researched here. A new mathematical model was proposed for the CFRP reference samples with Teflon inserts, and the simulation was carried out; The causes of the phenomenon that the temperature on defects appears colder than the background were analyzed; The discrepancy between the experimental and the expected results was overcome. Many advanced data processing methods in the inspection of CFRP samples were used to deal with the infrared image sequences. Several processing algorithms were statistically evaluated to demonstrate that the Fourier transformation and the correlation technique can provide the highest values of signal-to-noise ratio.
- composite materials /
- mathematical models /
- image processing /
- infrared thermographic testing

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参考文献(1)

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