Effect of heating period on defect detection efficiency of periodic RPHF thermography based on heating-truncated data
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摘要: 提出了一种能够重构基于加热截断数据的周期性还原赝热流算法，并测试了该方法下加热周期对分层和插入异物可检测性的影响。对不同试件分别进行了加热周期为10，20，30 s的周期性方波热成像检测，再依据所提出的算法反演试件的还原赝热流，对比不同单波周期长度下缺陷的信噪比和最小可检出缺陷。研究表明，总加热时长相同时，单波周期越长，红外热成像技术检测埋深缺陷的能力越强。Abstract: A new algorithm of restored pseudo heat flux(RPHF) based on heating-truncated data was proposed and its effect of heating period on the detectability of two kinds of defects, delamination and foreign insertions was tested. Periodic square waved thermography was conducted on the plates with heating periods of 10, 20, and 30 s respectively. The data collected from the inspections was processed by the proposed algorithm to obtain the restored pseudo heat flux. The signal to noise ratio of the RPHFs from the experiments with different heating periods were contrasted. The results show that longer heating periods, with the same total heating length, increase infrared detectability for the defects of high buried depths.
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