原文链接:万方

  • 摘要:

    Eddy current pulsed thermography(ECPT) is an emerging Non-destructive testing and evaluation(NDT & E) technique, which uses hybrid eddy current and thermography NDT & E techniques that enhances the detectability from their compensation. Currently, this technique is limited by the manual selection of proper contrast frames and the issue of improving the efficiency of defect detection of complex structure samples remains a challenge. In order to select a specific frame from transient thermal image sequences to maximize the contrast of thermal variation and defect pattern from complex structure samples, an energy driven approach to compute the coefficient energy of wavelet transform is proposed which has the potential of automatically selecting both optimal transient frame and spatial scale for defect detection using ECPT. According to analysis of the variation of different frequency component and the comparison study of the detection performance of different scale and wavelets, the frame at the end of heating phase is automatically selected as an optimal transient frame for defect detection. In addition, the detection capabilities of the complex structure samples can be enhanced through proper spatial scale and wavelet selection. The proposed method has successfully been applied to low speed impact damage detection of carbon fibre reinforced polymer(CFRP) composite as well as providing the guidance to improve the detectability of ECPT technique.

  • 关键词:

    non-destructive testing and evaluation composite impact damage detection wavelet transform energy driven approach transient-spatial analysis

  • 作者单位:

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China%School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;School of Electrical and Electronic Engineering, Newcastle University, UK%School of Electrical and Electronic Engineering, Newcastle University, UK

  • 基金项目:

    National Natural Science Foundation of China(Grant51377015)%China Post Doctor Project(Grant136413)%Science & Technology Department of Sichuan Province,China(Grant2013HH0059)

  • 来源期刊:

    中国机械工程学报

  • 年,卷(期):

    201427004

相似文献