Implementation of the magnetic Barkhausen noise technique for microstructural characterization of rail steel

Implementation of the magnetic Barkhausen noise technique for microstructural characterization of rail steel | 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 Research Article Implementation of the magnetic Barkhausen noise technique for microstructural characterization of rail steel Jaime Alberto Jaramillo Carvalho, Juan Camilo Sanchez, Fabio Alexander Suárez Bustamante, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4623448/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 Apr, 2025 Read the published version in Journal of Nondestructive Evaluation → Version 1 posted 11 You are reading this latest preprint version Abstract In the present work the feasibility of using Magnetic Barkhausen Noise (MBN) to identify variations in the microstructure of a commercial rail steel has been studied. To achieve this purpose a brand new rail, reference R260 was sectioned to obtain two samples that were subjected to quenching and normalizing heat treatments. The hardness and microstructure of the specimens were evaluated by conventional destructive and nondestructive evaluation. The MBN technique's sensibility to characterize different microstructures was studied, and the results were contrasted with hardness and residual stress measurements. The envelope of MBN signals proved to be useful to detect the presence of martensite at the surface of rail sections, mainly because of the high density of dislocations that is typical of this micro constituent in comparison with pearlite of ferrite. The MBN signals showed strong correlation with the changes in hardness and microstructure of the samples, being the normalized sample the one with the highest amplitude signal of MBN. In contrast, the quenched sample with martensite microstructure had a lower MBN intensity. The results of this work show the potential of MBN for nondestructive evaluation (NDE) of rails in the field, which could improve the capacity of early detection of defects in railway systems. Magnetic Barkhausen Noise (MBN) Rail steel Martensite Pearlite nondestructive evaluation (NDE) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 05 Apr, 2025 Read the published version in Journal of Nondestructive Evaluation → Version 1 posted Editorial decision: Revision requested 11 Sep, 2024 Reviews received at journal 11 Sep, 2024 Reviewers agreed at journal 11 Sep, 2024 Reviews received at journal 19 Aug, 2024 Reviews received at journal 31 Jul, 2024 Reviewers agreed at journal 26 Jul, 2024 Reviewers agreed at journal 25 Jul, 2024 Reviewers invited by journal 24 Jul, 2024 Editor assigned by journal 16 Jul, 2024 Submission checks completed at journal 23 Jun, 2024 First submitted to journal 22 Jun, 2024 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. 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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-4623448","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":320044405,"identity":"6e7272cf-93e2-42c5-a519-2a910d456b47","order_by":0,"name":"Jaime Alberto Jaramillo 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