Prediction modelling of grinding force in ultrasound vibration-assisted end grinding nickel-based alloy Inconel 718

Prediction modelling of grinding force in ultrasound vibration-assisted end grinding nickel-based alloy Inconel 718 | 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 modelling of grinding force in ultrasound vibration-assisted end grinding nickel-based alloy Inconel 718 Wenhao Liu, Zhigang Dong, Yan Bao, Renke Kang, Yuan Zhang, Feifei Xu, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7138294/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Dec, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 4 You are reading this latest preprint version Abstract Ultrasound vibration-assisted end grinding (UVEG) of alloy materials has advantages in improving surface mechanical properties and enhancing surface quality. The grinding force is a key parameter for evaluating the cutting performance of abrasive grains and the quality of machined surface. However, modeling of grinding forces in UVEG has not yet been reported in the literature. A predictive model considering the ultrasonic vibration of the end-face abrasive grains and the equivalent cutting depth was proposed. The model was developed through the kinematic analysis of the abrasive grains on the wheel’s end face. It incorporated the length of the grain’s movement trajectory, the equivalent machining depth, material characteristics, and the impact force generated by the periodic motion. The normal and radial components of the force were determined by considering the contributions of chip deformation force and friction force. The accuracy of the model was validated by comparing the numerical simulation results with the experimental data. The developed prediction model elucidated the influence mechanisms of process parameters in UVEG of the nickel-based alloy Inconel 718. This study provides theoretical guidance for investigating the cutting performance and surface quality improvement in UVEG of metallic materials. Ultrasound vibration-assisted end grinding Inconel 718 Grinding force Mechanistic model Full Text Cite Share Download PDF Status: Published Journal Publication published 17 Dec, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Reviewers agreed at journal 30 Jul, 2025 Reviewers invited by journal 29 Jul, 2025 Editor assigned by journal 21 Jul, 2025 First submitted to journal 18 Jul, 2025 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-7138294","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":492626205,"identity":"36b4529e-b4dd-417f-9b8f-66417bcd41be","order_by":0,"name":"Wenhao 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The grinding force is a key parameter for evaluating the cutting performance of abrasive grains and the quality of machined surface. However, modeling of grinding forces in UVEG has not yet been reported in the literature. A predictive model considering the ultrasonic vibration of the end-face abrasive grains and the equivalent cutting depth was proposed. The model was developed through the kinematic analysis of the abrasive grains on the wheel\u0026rsquo;s end face. It incorporated the length of the grain\u0026rsquo;s movement trajectory, the equivalent machining depth, material characteristics, and the impact force generated by the periodic motion. The normal and radial components of the force were determined by considering the contributions of chip deformation force and friction force. The accuracy of the model was validated by comparing the numerical simulation results with the experimental data. The developed prediction model elucidated the influence mechanisms of process parameters in UVEG of the nickel-based alloy Inconel 718. This study provides theoretical guidance for investigating the cutting performance and surface quality improvement in UVEG of metallic materials.\u003c/p\u003e","manuscriptTitle":"Prediction modelling of grinding force in ultrasound vibration-assisted end grinding nickel-based alloy Inconel 718","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-31 13:23:12","doi":"10.21203/rs.3.rs-7138294/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2025-07-31T02:25:54+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-07-29T13:21:41+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-07-21T23:12:45+00:00","index":"","fulltext":""},{"type":"submitted","content":"The International Journal of Advanced Manufacturing Technology","date":"2025-07-18T07:33:26+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"the-international-journal-of-advanced-manufacturing-technology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"jamt","sideBox":"Learn more about [The International Journal of Advanced Manufacturing Technology](https://www.springer.com/journal/170)","snPcode":"170","submissionUrl":"https://submission.nature.com/new-submission/170/3","title":"The International Journal of Advanced Manufacturing Technology","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"7f2db220-d943-4379-a4ad-0199994d39eb","owner":[],"postedDate":"July 31st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-22T16:01:03+00:00","versionOfRecord":{"articleIdentity":"rs-7138294","link":"https://doi.org/10.1007/s00170-025-16992-9","journal":{"identity":"the-international-journal-of-advanced-manufacturing-technology","isVorOnly":false,"title":"The International Journal of Advanced Manufacturing Technology"},"publishedOn":"2025-12-17 15:57:41","publishedOnDateReadable":"December 17th, 2025"},"versionCreatedAt":"2025-07-31 13:23:12","video":"","vorDoi":"10.1007/s00170-025-16992-9","vorDoiUrl":"https://doi.org/10.1007/s00170-025-16992-9","workflowStages":[]},"version":"v1","identity":"rs-7138294","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7138294","identity":"rs-7138294","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}