涡流脉冲热像检测中金属疲劳裂纹的生热分析

涡流脉冲热像技术是一种将电磁生热和红外热成像相结合的新型无损检测技术。针对金属疲劳裂纹生热研究不深入的问题，本文以含有贯穿的疲劳裂纹金属平板试件为研究对象，搭建了涡流脉冲热像检测实验系统，并建立了涡流脉冲热像有限元模型，分析了涡流脉冲热像检测中裂纹生热的规律。研究结果表明：在红外热像中，同一时刻越靠近裂纹根部的位置，温升的最大值越大；在激励过程中，裂纹区域的温升逐渐升高，当激励结束时，裂纹区域的温升则具有逐渐下降趋势，并且呈现先迅速后缓慢的下降速度。进一步揭示了裂纹尺寸对裂纹区域温升的影响。

Abstract

Eddy current pulsed thermography (ECPT) is a new type of non-destructive testing method that combines electromagnetic heating and infrared thermal imaging. To investigate heat generation of cracks in ECPT, a metal plate with a through-fatigue crack is considered as the research object in this study; the experimental system and finite element model are established, and the regular method of heat generation for cracks is analyzed. The results indicate that the closer position is to the root of the crack, the greater is the maximum temperature rise for the same duration for the infrared thermal image under consideration; meanwhile, the temperature rise in the crack region gradually increases during the stimulation process, and the temperature rise in the crack region has a gradual decline, and it shows a rapid and slow slowdown.. Further, the effect of crack length on the temperature rise in the crack region is revealed.

参考文献

[1] 潘孟春, 何赟泽, 陈棣湘. 涡流热成像检测技术[M]. 北京: 国防工业出版社, 2013.PAN Mengchun, HE Yunze, CHEN Dixiang. Eddy Current Thermal Non Destructive Testing[M]. Beijing: National Defense Industry Press, 2013:11-12.

[2] Ringermacher H I, Howard D R. Synthetic thermal time-of-fight(STTOF) depth imaging[C]//Review of Progress in Quantitative Nondestructive Evaluation, 2001: 487-491.

[3] Abidin I Z, Tian G Y, Wilson J, et al. Quantitative evaluation of angular defects by pulsed eddy current thermography[J]. NDT & E International,2010, 43(7): 537-546.

[4] YIN A, GAO B, TIAN G Y, et al. Physical interpretation and separation of eddy current pulsed thermography [J]. Journal of Applied Physics,2013, 113(6): 064101.

[5] TAO L, REN W, TIAN G Y, et al. Low energy impact damage detection in CFRP using eddy current pulsed thermography[J]. Composite Structures, 2016, 143(143): 352-361.

[6] Dudzik S. Analysis of the accuracy of a neural algorithm for defect depth estimation using PCA processing from active thermography data[J].Technology, 2013, 56(9):1-7.

[7] BAI L, GAO B, GUI Y T, et al. Spatial and time patterns extraction of eddy current pulsed thermography using blind source separation[J]. IEEE Sensors Journal, 2013, 13(6): 2094-2101.

[8] BAI L, GUI Y T, Simm A, et al. Fast crack profile reconstruction using pulsed eddy current signals[J]. Ndt & E International, 2013, 54(3): 37-44.

[9] BAI L, TIAN S, CHENG Y, et al. Reducing the effect of surface emissivity variation in eddy current pulsed thermography[J]. IEEE Sensors Journal, 2014, 14(4): 1137-1142.

[10] 左宪章, 常东, 王建斌, 等. 电磁激励热成像检测铁磁材料裂纹的磁热效应分析[J]. 磁性材料及器件, 2013, 45(3): 31-36.ZUO Xianzhang, CHANG Dong, WANG Jianbin, et al. Analysis of magnetocaloric effect in electromagnetically stimulated thermography for detecting crack in ferromagnetic material[J]. Magn. Mater. Devices,2013, 45(3): 31-36.

[11] 胡德洲, 左宪章, 张玉华, 等. 钢板表面裂纹的涡流脉冲热成像定量检测[J]. 激光与红外, 2015, 45 (5): 518-523.HU Dezhou, ZUO Xianzhang, ZHANG Yuhua, et al. Quantitative detection of steel surface crack by pulsed eddy current thermography[J].Laser &infrared, 2015, 45 (5): 518-523.

[12] 左宪章, 胡德洲, 常东, 等. 钢板局部腐蚀的涡流脉冲热成像定量检测[J]. 腐蚀与防护, 2015, 36 (7): 652-658.ZUO Xianzhang, HU Dezhou, CHANG Dong, et al. Quantitative detection of steel local corrosion using pulse eddy current thermography[J]. Corrosion &protection, 2015, 36 (7): 652-658.

[13] 冯辅周, 张超省, 宋爱斌, 等. 超声红外热像检测中疲劳裂纹的检出概率模型研究[J]. 红外与激光工程, 2016, 45(3): 50-55.FENG Fuzhou, ZHANG Chaosheng, SONG Aibin, et al. Research on optimization method of test conditions in sonic infrared imaging[J].Infrared and Laser Engineering, 2016, 45(2): 77-84.

[14] 冯辅周, 徐超, 闵庆旭, 等. 涡流脉冲热像中金属疲劳裂纹检测条件优化方法[J]. 装甲兵工程学院学报, 2017, 31(3): 89-93.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.

孙吉伟, 冯辅周, 张丽霞, 闵庆旭. 涡流脉冲热像检测中金属疲劳裂纹的生热分析[J]. 红外技术, 2019, 41(4): 383. SUN Jiwei, FENG Fuzhou, ZHANG Lixia, MIN Qingxu. Thermal Analysis of Metal Fatigue Cracks in Eddy Current Pulsed Thermography[J]. Infrared Technology, 2019, 41(4): 383.

涡流脉冲热像检测中金属疲劳裂纹的生热分析

关于本站 Cookie 的使用提示

全站搜索

涡流脉冲热像检测中金属疲劳裂纹的生热分析

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索