JIANG Haijun, MA Zhaoqing, WANG Junhu, ZHANG Kai, LIN Xin. Research on Defect Size Measurement Methods for Infrared Thermography[J]. Infrared Technology , 2024, 46(1): 107-116.
Citation: JIANG Haijun, MA Zhaoqing, WANG Junhu, ZHANG Kai, LIN Xin. Research on Defect Size Measurement Methods for Infrared Thermography[J]. Infrared Technology , 2024, 46(1): 107-116.

Research on Defect Size Measurement Methods for Infrared Thermography

More Information
  • Received Date: September 18, 2023
  • Revised Date: November 02, 2023
  • Infrared thermography effectively detects internal defects in metals, non-metals, and composite materials. Defect size is a key parameter for evaluating the impact of defects. We used a half width height measurement algorithm to achieve semi-automatic measurement of defect size, manually drawing a straight line through the center of the defect to form a spatial pixel curve, and used the SG filtering algorithm to filter, automatically finding the half width height position of the spatial pixel curve, thus achieving defect size measurement. Through research on ABS plastic, carbon steel, and carbon fiber composite material specimens, it was found that the defect sizes measured by infrared images at different times have different errors. Using clear infrared images at different times, the measurement error was within 10%, whereas using fuzzy infrared images at different times, the measurement error was approximately 20%. This will effectively improve the accuracy of defect size measurements.
  • [1]
    刘颖韬, 郭广平, 杨党纲, 等. 脉冲热像法在航空复合材料构件无损检测中应用[J]. 航空材料学报, 2012, 32(1): 72-77.

    LIU Y T, GUO G P, YANG D G. Pulsed thermography of composite components used in aerospace applications[J]. Journal of Aeronautical Materials, 2012, 32(1): 72-77.
    [2]
    Khodayar F, Sojasi S, Maldague X. Infrared thermography and NDT: 2050 horizon[J]. Quantitative InfraRed Thermography Journal, 2016, 13(2): 22-25.
    [3]
    郑凯, 江海军, 陈力. 红外热波无损检测技术的研究现状与进展[J]. 红外技术, 2018, 40(5): 401-411. http://hwjs.nvir.cn/article/id/hwjs201805001

    ZHENG K, JIANG H J, CHEN L. Infrared thermography NDT and its development[J]. Infrared Technology, 2018, 40(5): 401-411. http://hwjs.nvir.cn/article/id/hwjs201805001
    [4]
    郭伟, 董丽虹, 徐滨士, 等. 主动红外热像无损检测技术的研究现状与进展[J]. 无损检测, 2016, 38(4): 58-66.

    GUO W, DONG L H, XU B S, et al. Research status and progress of active infrared thermographic nondestructive testing[J]. Nondestructive Testing, 2016, 38(4): 58-66.
    [5]
    刘颖韬, 郭广平, 曾智, 等. 红外热像无损检测技术的发展历程、现状和趋势[J]. 无损检测, 2017, 39(8): 63-70.

    LIU Y T, GUO G P, ZENG Z, et al. The development history, status and trends of infrared thermographic nondestructive testing[J]. Nondestructive Testing, 2017, 39(8): 63-70.
    [6]
    WANG Q, HU Q P, QIU J X, et al. Using differential spread laser infrared thermography to detect delamination and impact damage in CFRP[J]. Infrared Physics & Technology, 2020, 106: 103282.
    [7]
    BU C W, LIU G Z, ZHANG X B, et al. Debonding defects detection of FMLs based on long pulsed infrared thermography technique[J]. Infrared Physics & Technology, 2020, 104: 103074.
    [8]
    Moskovchenko A I, Vavilov V P, Chulkov A O. Comparing the efficiency of defect depth characterization algorithms in the inspection of CFRP by using one-sided pulsed thermal NDT[J]. Infrared Physics & Technology, 2020, 107: 103289.
    [9]
    WANG Hongjin, WANG Nichen, HE Zhiyi, et al. Phase-locked restored pseudo heat flux thermography for detecting delamination inside carbon fiber reinforced composites[J]. IEEE Transactions on Industrial Informatics, 2019, 15(5): 2938-2946.
    [10]
    WANG F, WANG Y H, PENG W, et al. Independent component analysis enhanced pulse thermography for high silicon oxygen phenolic resin (HSOPR) sheet with subsurface defects [J]. Infrared Physics & Technology, 2018, 92: 345-349.
    [11]
    PAN M C, HE Y Z, TIAN G Y, et al. Defect characterization using pulsed eddy current thermography under transmission mode and NDT applications [J]. NDT & E International, 2012, 52: 28-36.
    [12]
    FEUILLET V, IBOS L, FOIS M, et al. Defect detection and characterization in composite materials using square pulse thermography coupled with singular value decomposition analysis and thermal quadrupole modeling [J]. NDT & E International, 2012, 51: 58-67.
    [13]
    WANG Qiang, HU Qiuping, QIU Jinxing, et al. Using differ-ential spread laser infrared thermography to detect delami-nation and impact damage in CFRP[J]. Infrared Physics & Technology, 2020, 10(6): 1-10.
    [14]
    LEI L, Ferrarini G, Bortolin A, et al. Thermography iscool: defect detection using liquid nitrogen as a stimulus[J]. NDT & E International, 2019, 10(2): 137-143.
    [15]
    LIU Y, WU J Y, LIU K X, et al. Independent component thermography for non-destructive testing of defects in polymer composites[J]. Measurement Science and Technology, 2019, 30(4): 44-49.
    [16]
    李美华, 曾智, 沈京玲, 等. 脉冲红外无损检测缺陷深度定量测量的数值模拟[J]. 红外与激光工程, 2013, 42(4): 875-879.

    LI M H, ZENG Z, SHEN J L, et al. Numerical simulation of defects depth quantitative measurement in pulsed infrared nondestructive testing[J]. Infrared and Laser Engineering, 2013, 42(4): 875-879.
    [17]
    ZENG Zhi. Depth prediction of non-air interface defect using pulsed thermography[J]. NDT and E International, 2012, 48(6): 39-45.
    [18]
    李晓丽. 红外热波定量测量技术研究及其应用[D]. 北京: 北京理工大学, 2018.

    LI X L. Studies for Quantitatively Measuring Technique by Using Thermal Wave Imaging and Their Applications[D]. Beijing: Beijing Institute of Technology, 2018.
    [19]
    黄新萍. 基于脉冲红外热像法的缺陷尺寸测量及有限元模拟分析[D]. 北京: 首都师范大学, 2014.

    HUANG X P. The Study of Finite-Element Modeling of Defect Size Measuring for Pulsed Thermography Measurement[D]. Beijing: Capital Normal University, 2014.
    [20]
    Nodes T A, Galla gher N C J. Median filters: some modifications and their properties[J]. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1982, 30(5): 739-746, Doi: 10.1109/TASSP.1982.1163951.
  • Related Articles

    [1]XIA Yan. Research on 3D Target Recognition Algorithm Based on Infrared Features[J]. Infrared Technology , 2022, 44(11): 1161-1166.
    [2]FENG Hongwei, LIU Yuanyuan, WEN Ziteng, TAN Yong. Recognition Algorithm for an Infrared Flame Detector Based on an Improved Takagi-Sugeno Fuzzy Radial Basis Function Neural Network[J]. Infrared Technology , 2021, 43(1): 37-43.
    [3]NIU Yi, GAN Lingtong, MA Yun. Identification of Adhesive Defects of Non-metallic Materials Based on Infrared Non-destructive Testing[J]. Infrared Technology , 2020, 42(4): 393-398.
    [4]FENG Hongwei, LIU Yuanyuan, XIE Linbo. Algorithm Design and Implementation for Dual-band Infrared Combustible Gas Detector[J]. Infrared Technology , 2019, 41(3): 227-231.
    [5]QU Zhao-jun, ZHANG Er-lei, ZHOU Fang-fang. Modeling Infrared Radiation Characteristics for F35 Stealth Fighter[J]. Infrared Technology , 2014, (11): 920-925.
    [6]Preparation and Spectral Properties of Infrared Up-conversion Thin Film ZnS: Cu, Pb, Mn[J]. Infrared Technology , 2009, 31(8): 461-466. DOI: 10.3969/j.issn.1001-8891.2009.08.007
    [7]WANG Min-gang, ZHANG Jun-lu, CUI Wei-cheng, YAN Jie. Target Recognition Algorithms for Anti-Jamming Based on Seeker Simulation Model[J]. Infrared Technology , 2007, 29(9): 501-504. DOI: 10.3969/j.issn.1001-8891.2007.09.002
    [8]QIU Zhi-Min, LI Jun, GE Jun, ZHOU Qi-Bo. An Automatic Target Recognition Algorithm Based on Hausdorff Distance[J]. Infrared Technology , 2006, 28(4): 199-202. DOI: 10.3969/j.issn.1001-8891.2006.04.004
    [9]FAN Ke-feng, WANG Meihua, Mo Wei. A New Iris Recognition Algorithm Based on Wavelet[J]. Infrared Technology , 2005, 27(4): 333-337. DOI: 10.3969/j.issn.1001-8891.2005.04.016
    [10]ZHU Meng-yu, YANG Yu-liang. Recognition of Runway Based on Fractal Features[J]. Infrared Technology , 2005, 27(2): 151-153. DOI: 10.3969/j.issn.1001-8891.2005.02.013
  • Cited by

    Periodical cited type(5)

    1. 李更生,成波,刘相国. 基于Gabor滤波器的多特征融合活动轮廓模型研究. 自动化与仪器仪表. 2025(02): 10-13 .
    2. 刘传洋,吴一全. 基于红外图像的电力设备识别及发热故障诊断方法研究进展. 中国电机工程学报. 2025(06): 2171-2196 .
    3. 杨开明,王艺霖,徐文光,幸响云,谭建所,王洪亮. 基于改进麻雀搜索算法的PID参数整定系统设计. 现代电子技术. 2024(12): 21-25 .
    4. 高岩,方成刚. 金属嵌入件装配缺陷视觉检测技术研究. 组合机床与自动化加工技术. 2024(12): 169-174 .
    5. 卜婷. 电机电气故障红外图像分割方法研究. 今日制造与升级. 2024(11): 132-134 .

    Other cited types(5)

Catalog

    Article views (169) PDF downloads (49) Cited by(10)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return