基于反射式脉冲红外热成像法的定量测量方法研究

陶宁; 曾智; 冯立春; 张存林

doi:10.7498/aps.61.174212

摘要

本文提出了一种利用反射式脉冲热成像法测量缺陷深度、热扩散系数或缺陷界面热波反射系数的方法. 首先,介绍了脉冲热成像法的基本原理以及定量测量算法.其次,利用304不锈钢制作了平底孔试件并预埋了四种不同物质并进行了实验,给出在不同条件下对缺陷深度、热扩散系数或缺陷界面热波反射系数测量的结果.实验结果显示实际测量值与其他方法测量值基本符合, 误差范围在5%以内, 并讨论了影响测量精度的原因.

关键词:

In this paper, a new method using reflective pulsed thermography to measure defect depth, thermal wave reflection coefficient and thermal diffusivity is presented. First, a brief description of the pulsed thermography in terms of theoretical background and quantitative measurement is given. One stainless steel 304 structure machined several flat-bottom holes in which it is filled with different materials are used as experimental sample, the measured results of defect depth, thermal diffusivity and reflection coefficients at defect interface under different conditions are given. The agreement between the results obtained by using pulsed thermography and the value presented in the literature or measured by other techniques appears satisfactory within errors of 5%, and possible reasons for affecting the measurement precision are discussed.

Keywords:

作者及机构信息

1.
首都师范大学物理系, 太赫兹光电子学教育部重点实验室, 北京市太赫兹波谱与成像重点实验室, 北京 100048;

2.
重庆师范大学物理与电子工程学院, 重庆 400047

基金项目: 国家自然科学基金(批准号: 10804078)资助的课题.

Authors and contacts

1.
Beijing Key Laboratory for Terahertz Spectroscopy and Imaging, Key Laboratory of Terahertz Optoelectronics, Ministry of Education, Department of Physics, Capital Normal University, Beijing 100048, China;

2.
Institute of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 400047, China

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 10804078).

参考文献

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施引文献

[1]	Shepard S, Hou Y, Lhota J 2004 CD-ROM proceedings of the 16th world conference on NDT, Aug 30-Sep 3, 2004 791
[2]	Chen D P, Zeng Z, Zhang C L, Jin X Y, Zhang Z 2012 Acta Phys. Sin. 61 094207 (in Chinese) [陈大鹏, 曾智, 张存林, 金学元, 张峥 2012 61 094207]
[3]
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[5]
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[7]
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[30]	Lau S K, Almond D P, Milne J M 1991 NDT E International 24 195
[31]

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