Method for Surface Crack Detection of Welded Structure in Pulsed Eddy Current Thermography

Abstract

Abstract: The physical properties and surface of weld led to the infrared complex thermal image signals and the lack of surface crack detection method of welded structure in pulsed eddy current thermography. It was difficult to apply pulsed eddy current thermography technology in metal welded structure of crack detection. A method for surface crack detection was studied herein based on similarity of 3D temperature surface and evaluation index system. The experimental results show that this method may identify the surface crack effectively and realize quantitative analysis, as well as dispense with the prior information and reduces testing complication and cost, thus it owns a high engineering application values.

Key words: pulsed eddy current thermography, welded structure, surface crack, similarity of 3D temperature surface

摘要： 针对利用脉冲涡流热成像技术检测金属结构焊缝表面裂纹时，受焊缝区域物理属性以及焊缝表面状态等因素的影响，红外图像中裂纹区域特征信号复杂，缺乏有效的焊缝裂纹识别方法的问题，研究了基于三维温度曲面相似性的裂纹识别方法，提出了裂纹评价指标，并进行了验证。结果表明该方法不仅能有效识别焊缝表面裂纹并对其进行定量分析，而且摆脱了对先验信息的需求，降低了检测成本和复杂度，具有较高的工程应用价值。

关键词: 脉冲涡流热成像, 金属结构焊缝, 表面裂纹, 三维温度曲面相似性

CLC Number:

Liu Xingle, Liu Zhiping, Li Xuan, Jiang Lei. Method for Surface Crack Detection of Welded Structure in Pulsed Eddy Current Thermography[J]. China Mechanical Engineering.

刘兴乐, 刘志平, 黎玄, 江蕾. 基于脉冲涡流热成像的金属结构焊缝表面裂纹识别方法[J]. 中国机械工程.

References

[1]左宪章，常东，钱苏敏，等. 脉冲涡流热成像裂纹检测机理仿真分析[J]. 激光与红外，2012，42(9):998-1003.

Zuo Xianzhang，Chang Dong，Qian Sumin，et al. Simulation Analysis of Crack Detecting Mechanism Using Pulsed Eddy Current Thermography[J]. Laser ＆ Infrared，2012，42(9): 998-1003.

[2]Wilson J, Tian Guiyun, Ilham Z A, et al. Modelling and Evaluation of Eddy Current Stimulated Thermography[J]. Nondestructive Testing and Evaluation, 2010, 25(3): 205-218.

[3]Florez-Ospina J F, Benitez H D. From Local to Global Analysis of Defect Detectability in Infrared Non-destructive Testing[J]. Infrared Physics ＆ Technology, 2014, 63:211-221.

[4]俞建卫，罗振山，尹延国，等. 基于形态学边缘检测和小波阈值的摩擦副红外图像去噪[J].中国机械工程，2013，24 (9): 1229-1230.

Yu Jianwei, Luo Zhenshan, Yin Yangguo, et al. Study on Infrared Image Denoising of Friction Pairs Based on Morphological Edge Detection and Wavelet Threshold[J]. China Mechanical Engineering，2013，24(9): 1229-1230.

[5]Tang Qingju, Bu Chiwu, Liu Yuanlin, et al. A New Signal Processing Algorithm of Pulsed Infrared Thermography[J]. Infrared Physics & Technology, 2015, 68:173-178.

[6]郭力，江志顺，尚振涛. 基于热像检测与分割技术的磨削砂轮堵塞检测研究[J]. 中国机械工程，2016，27(5): 577-582.

Guo Li, Jiang Zhishun, Shang Zhentao. Research on Grinding Wheel Loading Detection Based on Thermogram Detection and Segmentation Technology[J]. China Mechanical Engineering，2016，27(5): 577-582.

[7]Ren Wenwei, Liu Jia, Tian Gui Yun, et al. Quantitative Non-destructive Evaluation Method for Impact Damage Using Eddy Current Pulsed Thermography[J]. Composites: Part B,2013,54: 169-179.

[8]Gao Bin, Bai Libing, Woo Wai Lok, et al. Automatic Defect Identification of Eddy Current Pulsed Thermography Using Single Channel Blind Source Separation[J]. Instrumentation and Measurement 2014, 63(4): 913-921.

[9]白利兵. 电涡流脉冲热成像无损检测技术研究[D]. 成都：电子科技大学，2013.

[10]范春利，孙丰瑞，杨立，等. 基于红外测温的内部缺陷尺寸、方位的计算方法研究[J]. 热科学与技术，2005，4(1): 82-86.

Fan Chunli，Sun Fengrui，Yang Li，et al. Study on Numerical Method Determining Size and Position of Subsurface Defect Based on Thermographic Temperature Measurement[J]. Journal of Thermal Science and Technology，2005，4(1): 82-86.

[11]Meola C. A New Approach for Estimation of Defects Detection with Infrared Thermography[J]. Material Letters, 2007, 61(3):747-750.

[12]Olga Wysocka-Fotek, Wiera Oliferuk, Michal Maj. Reconstruction of Size and Depth of Simulated Defects in Austenitic Steel Plate Using Pulsed Infrared Thermography[J]. Infrared Physics & Technology, 2012, 55:363-367.

[13]柳葆芳，肖菁，平西建，等. 三维表面的曲面描述与相似性判别[J]. 中国图象图形学报，2001，6(2)：199-203.

Liu Baofang, Xiao Jing, Ping Xijian, et al. The Representation and Comparability Determination of Three-dimensional Surface[J]. Journal of Image and Graphics，2001，6(2)：199-203.

[14]张开兴，白晓亮，张树生. 基于局部形状特征的自由曲面相似性评价方法[J]. 计算机集成制造系统，2014，20(3)：530-536.

Zhang Kaixing, Bai Xiaoliang, Zhang Shusheng. Similarity Assessment Approach of Freeform Surface Based on Local Features[J]. Computer Integrated Manufacturing Systems, 2014，20(3)：530-536.

[15]屠宏，耿国华.一种基于局部特征的三维模型检索算法[J].计算机工程，2015，41（3）：218-222.

Tu Hong，Geng Guohua. A 3D Model Retrieval Algorithm Based on Local Feature[J].Computer Engineering，2015，41(3)：218-222.

[16]Gupta A, Ruzena B. Integrated Approach for Surface and Volumetric Segmentation of Range Images Using Biguadries and Superquadrics[J]. Proceedings of SPIE Applications of Artificial Intelligence Ⅹ: Machine Vision and Robotics,1992,1708:10.1117/12.58574.

[17]苑玮琦，徐露，林忠华. 基于灰度曲面匹配的虹膜识别方法[J]. 光学学报，2006，26(10):1537-1542.

Yuan Weiqi, Xu Lu, Lin Zhonghua. Iris Identification Method Based on Gray Surface Matching[J]. Acta Optica Sinica, 2006, 26(10):1537-1542.