Finite element method and experimental research on the temperature field of GH4169 in robotic belt grinding

Finite element method and experimental research on the temperature field of GH4169 in robotic belt grinding | 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 Finite element method and experimental research on the temperature field of GH4169 in robotic belt grinding Xinpeng Zu, Yifei Wang, Yadong Gong, Mingjun Liu, Zeming Li, Yao Sun, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5417262/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 10 Jun, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract Robotic belt grinding has become an important method for precision machining because of its flexibility, high efficiency, and high machining accuracy. However, in the grinding process, heat accumulates and creates thermal stresses in the cutting zone, which leads to an increase in workpiece temperature. In this paper, the whole robotic belt grinding process is discretized into a macroscopic tool-workpiece contact process finite element model, a microscopic mechanical-thermal coupling cutting zone temperature field model, and a macroscopic workpiece temperature field model. The normal load curve of single abrasive particle accumulation and the temperature distribution curve of the cutting zone serves as the interface connecting these three different scale models. The proposed FEM model is verified by the robotic belt grinding experiment. The simulation results are in good agreement with the experimental results, with an average prediction error of 3.16%. The research can lay a theoretical foundation for the prediction of grinding temperature distribution. Robotic belt grinding Multi-scale simulation Temperature field Full Text Cite Share Download PDF Status: Published Journal Publication published 10 Jun, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Minor Revisions Needed 25 Apr, 2025 Reviewers agreed at journal 11 Nov, 2024 Reviewers invited by journal 11 Nov, 2024 Editor assigned by journal 10 Nov, 2024 First submitted to journal 08 Nov, 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. We do this by developing innovative software and high quality services for the global research community. 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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-5417262","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":376685950,"identity":"c9aacd53-8179-4e32-b72d-f57d50b9c018","order_by":0,"name":"Xinpeng Zu","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Xinpeng","middleName":"","lastName":"Zu","suffix":""},{"id":376685951,"identity":"61041f1b-2b83-47e9-bcb7-9cda77227c42","order_by":1,"name":"Yifei 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