Research on nondestructive testing method based on magnetic characteristics of electron beam weld defects

Research on nondestructive testing method based on magnetic characteristics of electron beam weld defects | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Research on nondestructive testing method based on magnetic characteristics of electron beam weld defects Qiangqiang Cheng, Jijun Liu, Yisong Wang, Jiahao Zeng, Guisuo Xia, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5559527/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In view of the problems of poor safety, slow detection speed and low accuracy of existing non-destructive testing (NDT) technologies such as X-ray methods and ultrasonic detection in detecting electron beam weld defects in aluminum alloys, this study proposes a weak magnetic NDT method based on the geomagnetic field. Firstly, the finite element analysis method was used to establish a simulation model of aluminum alloy electron beam welding defects, and the distribution characteristics of the magnetic field around weld defects such as cracks and pores were obtained. Then, the magnetic anomaly signal at the crack weld was identified by the combination of wavelet transform and least squares method. Finally, experimental tests show that the proposed method can safely, quickly and accurately detect the defects of aluminum alloy electron beam welds. Physical sciences/Materials science/Materials for devices Physical sciences/Materials science/Theory and computation/Computational methods Physical sciences/Materials science Physical sciences/Materials science/Techniques and instrumentation/Characterization and analytical techniques Aluminum alloy Electron beam welding Weak magnetic detection Wavelet transform Finite element analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5559527","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":442831214,"identity":"b4188ac3-1e8b-4d39-a4b6-fc4780e577bd","order_by":0,"name":"Qiangqiang Cheng","email":"","orcid":"","institution":"Gandong University","correspondingAuthor":false,"prefix":"","firstName":"Qiangqiang","middleName":"","lastName":"Cheng","suffix":""},{"id":442831217,"identity":"ca108345-b338-43ab-8eb3-43a0e6b1d35b","order_by":1,"name":"Jijun Liu","email":"","orcid":"","institution":"Gandong 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