Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies
Multiple micro-magnetic non-destructive testing (NDT) technologies are suitable candidates for predicting the mechanical properties of cold-rolled steel strips. In this work, based on magnetic domain dynamics behavior and magnetization theory, the correlation between electromagnetic characteristics...
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| Format: | Article |
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MDPI AG
2022-03-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/6/2151 |
| _version_ | 1797445608952299520 |
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| author | Hongwei Sheng Ping Wang Chenglong Tang |
| author_facet | Hongwei Sheng Ping Wang Chenglong Tang |
| author_sort | Hongwei Sheng |
| collection | DOAJ |
| description | Multiple micro-magnetic non-destructive testing (NDT) technologies are suitable candidates for predicting the mechanical properties of cold-rolled steel strips. In this work, based on magnetic domain dynamics behavior and magnetization theory, the correlation between electromagnetic characteristics extracted by multiple micro-magnetic NDT technologies and the influence factors was investigated. It was found that temperature and tension can subsequently affect the electromagnetic parameters by altering the domain structure and domain walls’ motion properties. Pearson’s correlation coefficients were employed to reflect the dependence of micromagnetic characteristics on influencing factors. The lift-off was determined as the largest influence factor among influence factors. A pseudo-static detection was reached by polynomial fitting, which could eliminate the influence of lift-off on the detection results. The number of training models was optimized, and the detection accuracy was improved via the improved Generalized Regression Neural Network (GRNN) model, based on the Gaussian Mixture Clustering (GMC) algorithm. |
| first_indexed | 2024-03-09T13:29:20Z |
| format | Article |
| id | doaj.art-848520a03e4943d68a6423e36ec28d7a |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-09T13:29:20Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-848520a03e4943d68a6423e36ec28d7a2023-11-30T21:20:22ZengMDPI AGMaterials1996-19442022-03-01156215110.3390/ma15062151Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT TechnologiesHongwei Sheng0Ping Wang1Chenglong Tang2College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCentral Research Institute of Baosteel, Shanghai 201999, ChinaMultiple micro-magnetic non-destructive testing (NDT) technologies are suitable candidates for predicting the mechanical properties of cold-rolled steel strips. In this work, based on magnetic domain dynamics behavior and magnetization theory, the correlation between electromagnetic characteristics extracted by multiple micro-magnetic NDT technologies and the influence factors was investigated. It was found that temperature and tension can subsequently affect the electromagnetic parameters by altering the domain structure and domain walls’ motion properties. Pearson’s correlation coefficients were employed to reflect the dependence of micromagnetic characteristics on influencing factors. The lift-off was determined as the largest influence factor among influence factors. A pseudo-static detection was reached by polynomial fitting, which could eliminate the influence of lift-off on the detection results. The number of training models was optimized, and the detection accuracy was improved via the improved Generalized Regression Neural Network (GRNN) model, based on the Gaussian Mixture Clustering (GMC) algorithm.https://www.mdpi.com/1996-1944/15/6/2151micro-magnetic NDTmechanical propertiescold-rolled steel strippolynomial fittingimproved GRNN model |
| spellingShingle | Hongwei Sheng Ping Wang Chenglong Tang Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies Materials micro-magnetic NDT mechanical properties cold-rolled steel strip polynomial fitting improved GRNN model |
| title | Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies |
| title_full | Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies |
| title_fullStr | Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies |
| title_full_unstemmed | Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies |
| title_short | Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies |
| title_sort | predicting mechanical properties of cold rolled steel strips using micro magnetic ndt technologies |
| topic | micro-magnetic NDT mechanical properties cold-rolled steel strip polynomial fitting improved GRNN model |
| url | https://www.mdpi.com/1996-1944/15/6/2151 |
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