激光与光电子学进展, 2021, 58 (4): 0411002, 网络出版: 2021-02-24   

基于激光热成像的金属表面缺陷深度检测 下载: 678次

Depth Detection of Material Surface Defects Based on Laser Thermography
作者单位
1 中北大学仪器科学与动态测试教育部重点实验室, 山西 太原 038507
2 曼彻斯特大学电气与电子工程学院, 英国 曼彻斯特 M139PL
摘要
为了突破传统方法对材料表面缺陷深度检测的局限性,提出了一种基于透射式激光热成像的无损检测技术。选用激光源作为激励源,对被测材料的缺陷表面进行加热,加热点选在材料表面缺陷正下方处,激光输出功率为50 W,加热时间为1 s。在加热过程中,材料背面的温度场由于热流在材料缺陷传导过程中的影响而产生温度差异,故使用红外热像仪对加热过程中材料背面的温度场变化进行记录,并使用无缺陷处A点作为参考点,有缺陷处B点作为考察点,通过分析A、B两点的温度变化情况来对表面缺陷的深度进行特征提取。经过实验验证可知,该方法可以在一定条件下对材料表面的缺陷深度进行检测,当A点温度一定时,B点温度与缺陷深度的最优拟合呈指数关系,随着缺陷深度的增长,背面B点温度也随之降低。研究结果为后续的缺陷深度精准量化奠定了基础。
Abstract
Due to the limitation of traditional methods for the depth detection of material surface defects, a laser pulsed thermography technique in transmission mode is proposed in this paper. A laser source is selected as the excitation source to heat the defect surface of the measured material. The excitation point is selected directly below the surface defect. The laser power is selected as 50 W, and the heating time is selected as 1 s. During the heating process, the temperature field on the back of the material produces temperature difference due to the influence of heat flow in the conduction process of surface defects. Infrared thermal imaging camera records the temperature field changes on the back of the material, and point A without defect is used as a reference point, and point B at a defect is used as an experimental point. By analyzing the temperature changes at points A and B, the depth of surface defect is extracted. Experimental verification shows that this method can detect the depth of defects on the material surface under certain conditions. When the temperature of point A is constant, the best fitting relationship between the temperature of point B and the depth of the defect becomes an exponential relationship. The temperature of point B on the back also decreases. The research results lay a foundation for the subsequent accurate quantification of defect depth.

刘佳琪, 张志杰, 林振钰, 尹武良. 基于激光热成像的金属表面缺陷深度检测[J]. 激光与光电子学进展, 2021, 58(4): 0411002. Jiaqi Liu, Zhijie Zhang, Zhenyu Lin, Wuliang Yin. Depth Detection of Material Surface Defects Based on Laser Thermography[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0411002.

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