Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography
Small cracks are common defects in steel and often lead to catastrophic accidents in industrial applications. Various nondestructive testing methods have been investigated for crack detection; however, most current methods focus on qualitative crack identification and image processing. In this study...
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| Format: | Article |
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MDPI AG
2018-04-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/4/1070 |
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| author | Zhanqun Shi Xiaoyu Xu Jiaojiao Ma Dong Zhen Hao Zhang |
| author_facet | Zhanqun Shi Xiaoyu Xu Jiaojiao Ma Dong Zhen Hao Zhang |
| author_sort | Zhanqun Shi |
| collection | DOAJ |
| description | Small cracks are common defects in steel and often lead to catastrophic accidents in industrial applications. Various nondestructive testing methods have been investigated for crack detection; however, most current methods focus on qualitative crack identification and image processing. In this study, eddy current pulsed thermography (ECPT) was applied for quantitative crack detection based on derivative analysis of temperature variation. The effects of the incentive parameters on the temperature variation were analyzed in the simulation study. The crack profile and position are identified in the thermal image based on the Canny edge detection algorithm. Then, one or more trajectories are determined through the crack profile in order to determine the crack boundary through its temperature distribution. The slope curve along the trajectory is obtained. Finally, quantitative analysis of the crack sizes was performed by analyzing the features of the slope curves. The experimental verification showed that the crack sizes could be quantitatively detected with errors of less than 1%. Therefore, the proposed ECPT method was demonstrated to be a feasible and effective nondestructive approach for quantitative crack detection. |
| first_indexed | 2024-04-11T12:13:07Z |
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| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:13:07Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
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| spelling | doaj.art-99a87050e4bc4c84a95bf08bac5b2fb32022-12-22T04:24:29ZengMDPI AGSensors1424-82202018-04-01184107010.3390/s18041070s18041070Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed ThermographyZhanqun Shi0Xiaoyu Xu1Jiaojiao Ma2Dong Zhen3Hao Zhang4School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, ChinaSmall cracks are common defects in steel and often lead to catastrophic accidents in industrial applications. Various nondestructive testing methods have been investigated for crack detection; however, most current methods focus on qualitative crack identification and image processing. In this study, eddy current pulsed thermography (ECPT) was applied for quantitative crack detection based on derivative analysis of temperature variation. The effects of the incentive parameters on the temperature variation were analyzed in the simulation study. The crack profile and position are identified in the thermal image based on the Canny edge detection algorithm. Then, one or more trajectories are determined through the crack profile in order to determine the crack boundary through its temperature distribution. The slope curve along the trajectory is obtained. Finally, quantitative analysis of the crack sizes was performed by analyzing the features of the slope curves. The experimental verification showed that the crack sizes could be quantitatively detected with errors of less than 1%. Therefore, the proposed ECPT method was demonstrated to be a feasible and effective nondestructive approach for quantitative crack detection.http://www.mdpi.com/1424-8220/18/4/1070ECPTquantitative detectioncrackstemperature variation |
| spellingShingle | Zhanqun Shi Xiaoyu Xu Jiaojiao Ma Dong Zhen Hao Zhang Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography Sensors ECPT quantitative detection cracks temperature variation |
| title | Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography |
| title_full | Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography |
| title_fullStr | Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography |
| title_full_unstemmed | Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography |
| title_short | Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography |
| title_sort | quantitative detection of cracks in steel using eddy current pulsed thermography |
| topic | ECPT quantitative detection cracks temperature variation |
| url | http://www.mdpi.com/1424-8220/18/4/1070 |
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