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Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method
In view of the breakage of the rotary shaft of the traction motor of the locomotive, in order to ensure the reliability and safety of the equipment, this paper studies the magnetic field containing rich information in the space around the rotary shaft, so that the crack defect can be detected and th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284799/ https://www.ncbi.nlm.nih.gov/pubmed/37344486 http://dx.doi.org/10.1038/s41598-023-36455-z |
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author | Song, Mengmeng Li, Mengwei Song, Xiaoyan Xiao, Shungen Jiang, Feng Huang, Naiqiu |
author_facet | Song, Mengmeng Li, Mengwei Song, Xiaoyan Xiao, Shungen Jiang, Feng Huang, Naiqiu |
author_sort | Song, Mengmeng |
collection | PubMed |
description | In view of the breakage of the rotary shaft of the traction motor of the locomotive, in order to ensure the reliability and safety of the equipment, this paper studies the magnetic field containing rich information in the space around the rotary shaft, so that the crack defect can be detected and the crack size can be judged in time. In order to study the influence of defect geometric parameters (width, depth and hidden depth) on the spatial magnetic field distribution around the defect in the process of eddy current testing of metal shafts, based on the principle of eddy current testing, a metal rotary shaft detection model with different defect parameters was established by COMSOL software for simulation. The horizontal magnetic induction intensity, vertical magnetic induction intensity and their respective phases are used to analyze the magnetic field distribution around the defect under different parameters. The results show that the magnetic field related parameters can qualitatively and quantitatively evaluate the crack width, qualitatively evaluate the relative size of the crack depth, and qualitatively judge whether there are hidden cracks. |
format | Online Article Text |
id | pubmed-10284799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102847992023-06-23 Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method Song, Mengmeng Li, Mengwei Song, Xiaoyan Xiao, Shungen Jiang, Feng Huang, Naiqiu Sci Rep Article In view of the breakage of the rotary shaft of the traction motor of the locomotive, in order to ensure the reliability and safety of the equipment, this paper studies the magnetic field containing rich information in the space around the rotary shaft, so that the crack defect can be detected and the crack size can be judged in time. In order to study the influence of defect geometric parameters (width, depth and hidden depth) on the spatial magnetic field distribution around the defect in the process of eddy current testing of metal shafts, based on the principle of eddy current testing, a metal rotary shaft detection model with different defect parameters was established by COMSOL software for simulation. The horizontal magnetic induction intensity, vertical magnetic induction intensity and their respective phases are used to analyze the magnetic field distribution around the defect under different parameters. The results show that the magnetic field related parameters can qualitatively and quantitatively evaluate the crack width, qualitatively evaluate the relative size of the crack depth, and qualitatively judge whether there are hidden cracks. Nature Publishing Group UK 2023-06-21 /pmc/articles/PMC10284799/ /pubmed/37344486 http://dx.doi.org/10.1038/s41598-023-36455-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Song, Mengmeng Li, Mengwei Song, Xiaoyan Xiao, Shungen Jiang, Feng Huang, Naiqiu Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title | Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title_full | Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title_fullStr | Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title_full_unstemmed | Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title_short | Research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
title_sort | research on electromagnetic characteristics of traction motor rotary shafts with variable parameter defects based on finite element method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284799/ https://www.ncbi.nlm.nih.gov/pubmed/37344486 http://dx.doi.org/10.1038/s41598-023-36455-z |
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