Non-destructive evaluation of thermal barrier coating structures using multi-physics fusion based on electromagnetic drive

Non-destructive evaluation of thermal barrier coating structures using multi-physics fusion based on electromagnetic drive | 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 Non-destructive evaluation of thermal barrier coating structures using multi-physics fusion based on electromagnetic drive Shejuan Xie, Jialun Li, Qingning Yang, Jiahao Wang, Wei Qiu, Tiejun Wang, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4994321/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 30 Sep, 2025 Read the published version in Nature Communications → Version 1 posted You are reading this latest preprint version Abstract Thermal barrier coatings (TBCs) are widely used on turbine engines. The failure of TBCs will lead to financial losses or even life hazards, thereby necessitating the employment of non-destructive testing (NDT) methods to ensure structural integrity and safety. The smaller size of defects that can be detected, the more likely it is to prevent potential risks. If multi-defects can be detected simultaneously, the maintenance cycles and costs will be reduced. However, current NDT methods are difficult to detect tiny debonding defects with high accuracy, and there are few methods that can detect multi-defects at the same time. To address this challenge, in this paper, combined with calculation and experiment, an electromagnetic driven based multi-physics fusion detection method is proposed for the first time. This method realizes the precise and fast detection of interfacial debonding with diameter 0.7mm within 0.8 second and the detection of substrate cracks simultaneously. To better simulate the actual debonding defects in real working conditions, the specimens with debonding defects fabricated by salt dissolution method are firstly used for the detection. The multi-physics fusion method leads to the combination of multiple NDT methods, which provides ideas for further improving the detection accuracy and efficiency of multilayer coatings. Physical sciences/Engineering/Mechanical engineering Physical sciences/Engineering Full Text Additional Declarations There is NO Competing Interest. Cite Share Download PDF Status: Published Journal Publication published 30 Sep, 2025 Read the published version in Nature Communications → 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. 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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-4994321","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":348652541,"identity":"9d6f22f3-d0b6-4fdf-b3ff-efe321e7e28a","order_by":0,"name":"Shejuan 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