Prediction model of profile error induced by wheel wear in outer contour grinding of Si3N4 spherical rollers

Prediction model of profile error induced by wheel wear in outer contour grinding of Si3N4 spherical rollers | 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 Prediction model of profile error induced by wheel wear in outer contour grinding of Si3N4 spherical rollers Songhua Li, Chi Jin, Zichen Zhao, Chuang Zuo, Gefei Lin, Xiangyun Pang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8841877/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract During the outer contour grinding of silicon nitride (Si 3 N 4 ), the material's hard and brittle properties significantly accelerate the wear of diamond grinding wheels. This necessitates frequent wheel dressing during machining, thus rendering grinding wheel wear a pivotal factor in determining the contour accuracy and surface finish of the roller's external cylindrical surface. In conventional practice, dressing strategies are predominantly empirical, and the underlying mechanism by which wheel wear induces profile errors remains insufficiently elucidated. To address these challenges, a profile error prediction model was developed based on grinding ratio theory, specifically incorporating the radial wear of the grinding wheel. Taking the cumulative number of processed rollers as the independent variable, the influences of roller geometry, wheel specifications, and grinding parameters on the evolution of profile errors were systematically investigated. Experimental validation demonstrated that the maximum deviations between the predicted and measured values for wheel radial wear ( ∆R ) and profile error ( ∆ε ) were 17.605% and 13.612%, respectively. These results confirm that the proposed model provides a robust theoretical framework for optimizing dressing schedules and process parameters in the precision grinding of Si 3 N 4 spherical rollers. Si3N4 spherical roller outer contour Wear of grinding wheel Volume grinding ratio Profile Error Predictive model Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 23 Feb, 2026 Reviewers invited by journal 23 Feb, 2026 Editor assigned by journal 17 Feb, 2026 First submitted to journal 13 Feb, 2026 Editorial decision: Minor Revisions Needed 13 Feb, 2026 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-8841877","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":595516240,"identity":"0e53d896-479f-48ec-8dad-2e413acbc16a","order_by":0,"name":"Songhua Li","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Songhua","middleName":"","lastName":"Li","suffix":""},{"id":595516241,"identity":"0bd3e651-3aa7-4717-8d3d-54e27ab67eed","order_by":1,"name":"Chi 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This necessitates frequent wheel dressing during machining, thus rendering grinding wheel wear a pivotal factor in determining the contour accuracy and surface finish of the roller's external cylindrical surface. In conventional practice, dressing strategies are predominantly empirical, and the underlying mechanism by which wheel wear induces profile errors remains insufficiently elucidated. To address these challenges, a profile error prediction model was developed based on grinding ratio theory, specifically incorporating the radial wear of the grinding wheel. Taking the cumulative number of processed rollers as the independent variable, the influences of roller geometry, wheel specifications, and grinding parameters on the evolution of profile errors were systematically investigated. 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