红外与激光工程, 2018, 47 (5): 0504002, 网络出版: 2018-09-12  

涡流脉冲热像检测中疲劳裂纹的检出概率

Probability of detection for fatigue crack in eddy current pulsed thermography
作者单位
1 陆军装甲兵学院 机械工程系, 北京 100072
2 中国北方车辆研究所, 北京 100072
摘要
在涡流脉冲热像检测中, 检出概率是评价检测可靠性的最重要的指标之一。通常, 检出概率是指在特定检测条件下特定尺寸的缺陷被检出的概率。首先, 以含有不同尺寸疲劳裂纹的金属平板试件为研究对象, 通过正交试验方案设计, 完成了对不同检测条件下不同尺寸裂纹试件表面热响应信号的提取; 然后, 采用线性回归模型建立了裂纹区域的热响应信号与裂纹尺寸的定量化关系, 并采用极大似然估计法给出了裂纹检出概率模型中的具体参数; 最后, 基于Wald方法求得了检出概率的置信区间, 并绘制了检出概率曲线。研究成果可为涡流脉冲热像检测的可靠性评估提供量化依据。
Abstract
Probability of detection(POD) is one of the most important indexes to evaluate the reliability of detection in eddy current pulsed thermography(ECPT). Generally, the probability of detection is defined as the probability that the defect with fixed size is detected under the given detection conditions. Firstly, a series of metal plates with different lengths of fatigue cracks were introduced to obtain the thermal response signals through the design of orthogonal experiment. Secondly, a linear regression model was established to describe the relationship between thermal response signals and crack lengths, and the maximum likelihood estimation(MLE) method was employed to achieve the specific parameters of the crack POD model. Finally, the resulting confidence interval of POD was presented based on Wald method, and the curves of POD were drawn. The research results can provide a quantitative evaluation method for detection reliability in ECPT.
参考文献

[1] Pan Mengchun, He Yunze, Chen Dixiang. Eddy Current Thermal Non Destructive Testing[M]. Beijing: National Defense Industry Press, 2013: 11-12. (in Chinese)

[2] Feng Fuzhou, Zhang Chaosheng, Song Aibin, et al. Probability of detection model for fatigue crack in ultrasonic infrared imaging[J]. Infrared and Laser Engineering, 2016, 45(3): 0304005. (in Chinese)

[3] Li Xinyuan, Ji Muwei, Wang Hongzhi, et al. Research progress of near-infrared photothermal conversion nanocrystals[J]. Chinese Optics, 2017, 10(5): 0541. (in Chinese)

[4] Zhang Chaosheng, Song Aibin, Feng Fuzhou, et al. Research on optimization method of test conditions in sonic infrared imaging[J]. Infrared and Laser Engineering, 2016, 45(2): 0204005. (in Chinese)

[5] Sun Zhiyuan, Zhu Wei, Qiao Yanfeng. Amendment of gray drift in infrared temperature measurement[J]. Chinese Joumal of Optics and Applied Optics, 2010, 3(4): 391-396. (in Chinese)

[6] Hong Wenqing, Yao Libin, Ji Rongbin, et al. A super-frame processing method for infrared image based on accumulation of different integration time frame[J]. Optics and Precision Engineering, 2016, 24(6): 1490-1500. (in Chinese)

[7] Li Hang, Yan Cangxiang, Yu Ping, et al. Measurement of modulation transfer function for IR imaging system[J]. Optics and Precision Engineering, 2016, 24(4):698-708. (in Chinese)

[8] Zou Han, Yang Suixian, Zeng Jinjing, et al. Impact fatigue damage detection of metallic material by using eddy current thermography[J]. Nondestructive Testing, 2016, 38(3): wsjc201603017. (in Chinese)

[9] Packman M N, Harrison C H, Ainslie M A. Rapid calculations of acoustic propagation loss in range dependent oceans[J]. IEE Proceedings-Radar, Sonar and Navigation, 2002, 143(3): 184-189.

[10] Lewis W H. A review of nondestructive inspection reliability on aircraft structure[C]//12th Symposium NDE, 1979: 24-26.

[11] Wang F, Liu J, Liu Y, et al. Research on the fiber lay-up orientation detection of unidirectional CFRP laminates composite using thermal-wave radar imaging[J]. Ndt & E International, 2016, 84: 54-66.

[12] Lin Fujia, Huang Yushan. Statistical determination of a flaw detection probability curve[J]. Acta Aeronautica ET Astronautica Sinica, 1982, 3(4): 21-27.

[13] Fu Huimin, Qian Ruoli. Methods for non destructive inspection reliability and controlling lives[J]. Journal of Aerospace Power, 1994, 3(7): 227-231. (in Chinese)

[14] Liu J. Research on CFRP materials nondestructive testing by IR lock-in thermography[C]//International Symposium on Photoelectronic Detection and Imaging, 2009, 73833U: 73833U-9.

[15] Feng Fuzhou, Xu Chao, Min Qingxu, et al. Optimization method of detection conditions for metal fatigue cracks in eddy current pulsed thermography[J]. Journal of Academy of Armored Force Engineering, 2017, 31(3): 89-93. (in Chinese)

孙吉伟, 冯辅周, 闵庆旭, 徐超, 黄楠. 涡流脉冲热像检测中疲劳裂纹的检出概率[J]. 红外与激光工程, 2018, 47(5): 0504002. Sun Jiwei, Feng Fuzhou, Min Qingxu, Xu Chao, Huang Nan. Probability of detection for fatigue crack in eddy current pulsed thermography[J]. Infrared and Laser Engineering, 2018, 47(5): 0504002.

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