Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect
The damage of equipment manufactured with ferromagnetic materials in service can be effectively detected by Metal Magnetic Memory Testing (MMMT) technology, which has received extensive attention in various industry fields. The effect of stress or strain on Magnetic Flux Leakage (MFL) signals of fer...
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MDPI AG
2020-10-01
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author | Bingxun Zhao Kai Yao Libo Wu Xinglong Li Yue-Sheng Wang |
author_facet | Bingxun Zhao Kai Yao Libo Wu Xinglong Li Yue-Sheng Wang |
author_sort | Bingxun Zhao |
collection | DOAJ |
description | The damage of equipment manufactured with ferromagnetic materials in service can be effectively detected by Metal Magnetic Memory Testing (MMMT) technology, which has received extensive attention in various industry fields. The effect of stress or strain on Magnetic Flux Leakage (MFL) signals of ferromagnetic materials has been researched by many scholars for assessing stress concentration and fatigue damage. However, there is still a lack of research on the detection of stress corrosion damage of ferromagnetic materials by MMMT technology. In this paper, the electrochemical corrosion system was designed for corrosion experiments, and three different experiments were performed to study the effect of corrosion on MFL signals. The distribution of MFL signals on the surface of the specimen was investigated. The results indicated that both the normal component <i>H</i><sub>n</sub> and tangential component <i>H</i><sub>t</sub> of MFL signals presented different signal characteristics when the specimen was subjected to different working conditions. Finally, two characterization parameters, <i>S</i><sub>n</sub> and <i>S</i><sub>t</sub>, were defined to evaluate the corrosion degree of the specimen, and <i>S</i><sub>t</sub> is better. The direct dependence of corrosion depth on the parameter was developed and the average error rates between the predicted and measured values are 8.94% under the same working condition. Therefore, the expression can be used to evaluate the corrosion degree of the specimen quantitatively. The results are significant for detecting and assessing the corrosion defect of ferromagnetic materials. |
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spelling | doaj.art-f1e30d912da6449a83c091542a3a6b902023-11-20T16:46:09ZengMDPI AGApplied Sciences2076-34172020-10-011020708310.3390/app10207083Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion DefectBingxun Zhao0Kai Yao1Libo Wu2Xinglong Li3Yue-Sheng Wang4Department of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Mechanics, School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, ChinaThe damage of equipment manufactured with ferromagnetic materials in service can be effectively detected by Metal Magnetic Memory Testing (MMMT) technology, which has received extensive attention in various industry fields. The effect of stress or strain on Magnetic Flux Leakage (MFL) signals of ferromagnetic materials has been researched by many scholars for assessing stress concentration and fatigue damage. However, there is still a lack of research on the detection of stress corrosion damage of ferromagnetic materials by MMMT technology. In this paper, the electrochemical corrosion system was designed for corrosion experiments, and three different experiments were performed to study the effect of corrosion on MFL signals. The distribution of MFL signals on the surface of the specimen was investigated. The results indicated that both the normal component <i>H</i><sub>n</sub> and tangential component <i>H</i><sub>t</sub> of MFL signals presented different signal characteristics when the specimen was subjected to different working conditions. Finally, two characterization parameters, <i>S</i><sub>n</sub> and <i>S</i><sub>t</sub>, were defined to evaluate the corrosion degree of the specimen, and <i>S</i><sub>t</sub> is better. The direct dependence of corrosion depth on the parameter was developed and the average error rates between the predicted and measured values are 8.94% under the same working condition. Therefore, the expression can be used to evaluate the corrosion degree of the specimen quantitatively. The results are significant for detecting and assessing the corrosion defect of ferromagnetic materials.https://www.mdpi.com/2076-3417/10/20/7083metal magnetic memory testing technologystress corrosionferromagnetic materialscharacterization parameters |
spellingShingle | Bingxun Zhao Kai Yao Libo Wu Xinglong Li Yue-Sheng Wang Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect Applied Sciences metal magnetic memory testing technology stress corrosion ferromagnetic materials characterization parameters |
title | Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect |
title_full | Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect |
title_fullStr | Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect |
title_full_unstemmed | Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect |
title_short | Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect |
title_sort | application of metal magnetic memory testing technology to the detection of stress corrosion defect |
topic | metal magnetic memory testing technology stress corrosion ferromagnetic materials characterization parameters |
url | https://www.mdpi.com/2076-3417/10/20/7083 |
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