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: 681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
引用该论文

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.

参考文献

[1] 刘晓丰, 田雅馨, 邹静, 等. 直升机关键金属TB6钛合金的划伤、冲击缺陷容限性能[J]. 科学技术与工程, 2019, 19(29): 349-355.

    Liu X F, Tian Y X, Zou J, et al. The influence of impact or scratch flaw on the fatigue performance of TB6 used in helicopter[J]. Science Technology and Engineering, 2019, 19(29): 349-355.

[2] 沈晓海, 栗泽昊, 李敏, 等. 基于多任务深度学习的铝材表面缺陷检测[J]. 激光与光电子学进展, 2020, 57(10): 101501.

    Shen X H, Li Z H, Li M, et al. Aluminum surface-defect detection based on multi-task deep learning[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101501.

[3] Sreeshan K, Dinesh R, Renji K. Enhancement of thermographic images of composite laminates for debond detection: an approach based on Gabor filter and watershed[J]. NDT & E International, 2019, 103: 68-76.

[4] Spytek J, Ziaja-Sujdak A, Dziedziech K, et al. Evaluation of disbonds at various interfaces of adhesively bonded aluminum plates using all-optical excitation and detection of zero-group velocity lamb waves[J]. NDT & E International, 2020, 112: 102249.

[5] 董宁琛, 张志杰, 尹武良, 等. 基于脉冲激光点光源热成像方法检测钢材表面裂纹[J]. 激光与红外, 2019, 49(10): 1195-1200.

    Dong N C, Zhang Z J, Yin W L, et al. Detection of steel surface cracks based on pulsed laser point source thermal imaging method[J]. Laser & Infrared, 2019, 49(10): 1195-1200.

[6] Yang R Z, He Y Z, Zhang H. Progress and trends in nondestructive testing and evaluation for wind turbine composite blade[J]. Renewable and Sustainable Energy Reviews, 2016, 60: 1225-1250.

[7] 江海军, 陈力. 闪光灯热激励红外热波成像无损检测设备及应用[J]. 无损检测, 2017, 39(9): 57-60, 64.

    Jiang H J, Chen L. Application of flash thermal excitation infrared thermographic nondestructive testing equipment[J]. Nondestructive Testing, 2017, 39(9): 57-60, 64.

[8] 李玉杰, 李科, 钟安彪, 等. 卤素灯加热红外成像检测技术仿真研究[J]. 激光与红外, 2016, 46(12): 1477-1480.

    Li Y J, Li K, Zhong A B, et al. Simulation research of infrared image detection technology for halogen lamp heating[J]. Laser & Infrared, 2016, 46(12): 1477-1480.

[9] Duchesne S, Morganti F, Shulz C, et al. Measurement of the leakage flux in the vicinity of a transformer core: application to detection and localization of faults[J]. COMPEL International Journal of Computations and Mathematics in Electrical, 2020.

[10] 许颖, 王青原, 罗聪聪, 等. 基于线激光锁相热成像的芯片裂纹成像检测[J]. 激光与光电子学进展, 2020, 57(6): 061018.

    Xu Y, Wang Q Y, Luo C C, et al. Chip crack imaging detection based on line laser phase-locked thermal imaging[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061018.

[11] 杨连杰, 李阳, 孙俊杰, 等. 激光超声表面波在表面缺陷上的反射与透射[J]. 激光与光电子学进展, 2019, 56(4): 041203.

    Yang L J, Li Y, Sun J J, et al. Reflection and transmission of laser ultrasonic waves on surface defects[J]. Laser & Optoelectronics Progress, 2019, 56(4): 041203.

[12] Vavilov V P. Modeling thermal NDT problems[J]. International Journal of Heat and Mass Transfer, 2014, 72: 75-86.

[13] Jie J, Dai S Q, Hou B P, et al. Defect detection in composite products based on sparse moving window principal component thermography[J]. Advances in Polymer Technology, 2020, 2020: 1-12.

[14] He Z Y, Wang H J, He Y Z, et al. Joint scanning laser thermography defect detection method for carbon fiber reinforced polymer[J]. IEEE Sensors Journal, 2020, 20(1): 328-336.

[15] 董宁琛, 张志杰, 尹武良, 等. 基于激光热成像方法的奥氏体钢表面缺陷表征[J]. 激光与红外, 2020, 50(2): 179-183.

    Dong N C, Zhang Z J, Yin W L, et al. Characterization of surface defects in austenitic steel based on laser thermal imaging[J]. Laser & Infrared, 2020, 50(2): 179-183.

[16] Song J R, Gao B, Woo W L, et al. Ensemble tensor decomposition for infrared thermography cracks detection system[J]. Infrared Physics & Technology, 2020, 105: 103203.

[17] Atwya M, Panoutsos G. Transient thermography for flaw detection in friction stir welding: a machine learning approach[J]. IEEE Transactions on Industrial Informatics, 2020, 16(7): 4423-4435.

[18] 王卓, 张云伟, 喻勇, 等. 主动热激励式红外热成像管道缺陷深度检测[J]. 光学学报, 2018, 38(9): 0912003.

    Wang Z, Zhang Y W, Yu Y, et al. Depth test of pipeline defects by active thermal excitation and infrared thermography[J]. Acta Optica Sinica, 2018, 38(9): 0912003.

[19] Yu P, Zeng Y. Characterization of laser-induced local heating in a substrate[J]. International Journal of Heat & Mass Transfer, 2017, 106: 989-996.

[20] Zhen J P, Guo Q, Zhou J. Simulation of heat transfer in multi-layered medium[J]. Applied Physics, 2019, 9(1): 7-12.

[21] 张杰. 红外热成像测温技术及其应用研究[D]. 成都: 电子科技大学, 2011.

    ZhangJ. Research on infrared thermal imaging temperature measurement technology and its application[D]. Chengdu: University of Electronic Science and Technology of China, 2011.

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.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!