Empirical formula model and process parameter optimization of two-dimensional ultrasonic assisted grinding force based on 2.5D-Cf/SiC fiber orientation

Empirical formula model and process parameter optimization of two-dimensional ultrasonic assisted grinding force based on 2.5D-Cf/SiC fiber orientation | 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 Empirical formula model and process parameter optimization of two-dimensional ultrasonic assisted grinding force based on 2.5D-Cf/SiC fiber orientation Yashuai Wang, Bo Xin, Jiangtao Li, Lida Zhu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3877565/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 31 Aug, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract Due to the anisotropic characteristic of carbon fiber-reinforced silicon carbide ceramics, the fiber orientation angle significantly affects the grinding force. Therefore, it is important to study the influence rule of different fiber orientations on the grinding force of 2.5D-C f /SiC composites. To study the comprehensive influence of machine tool parameters and the anisotropy of carbon fiber reinforced ceramic matrix composites on the grinding force, two-dimensional ultrasonic plane grinding was studied by orthogonal test and single factor experiment. Based on the multi-exponential fitting analysis method of multiple linear regression equation, the empirical equations of power exponential grinding force prediction model of 2D ultrasonic assisted grinding and conventional grinding 2.5D-C f /SiC composites at 0°, 45°, 90° fiber orientation and considering fiber orientation and ultrasonic amplitude were established respectively. To verify the empirical formula model in predicting the grinding force of 2.5D-C f /SiC composites under various fiber orientation angles, the regression equation and regression coefficient of the model were examined. The influence of 2.5D-C f /SiC grinding parameters on the grinding force was analyzed. The parameters of the grinding force model were optimized based on range analysis and variance analysis, and the optimal process parameter combination was obtained. The results show that the grinding force is negatively correlated with the linear speed, and positively correlated with the feed speed and grinding depth within the range of experimental parameters. The maximum reduction of the normal grinding force is 29.78% when the line speed is 10.48m/s, the feed speed is 100 mm/min, the grinding depth is 50µm, and along the 45° fiber direction. The optimal grinding parameter combination is a line speed of 23.60m/s, feed speed of 5mm/min, and grinding depth of 10µm along the 0° fiber orientation. 2.5D-Cf/SiC composites Fiber orientation Parameter optimization Two-dimensional ultrasound Empirical equation Full Text Cite Share Download PDF Status: Published Journal Publication published 31 Aug, 2024 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Minor Revisions Needed 12 Aug, 2024 Reviewers agreed at journal 07 Jun, 2024 Reviewers invited by journal 22 Jan, 2024 Editor assigned by journal 18 Jan, 2024 First submitted to journal 17 Jan, 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. 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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-3877565","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":268662041,"identity":"23d7c755-6c19-4335-9121-67e9af05c865","order_by":0,"name":"Yashuai Wang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Yashuai","middleName":"","lastName":"Wang","suffix":""},{"id":268662042,"identity":"faf219d8-5a67-4459-9956-6df456ac74fa","order_by":1,"name":"Bo Xin","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvUlEQVRIiWNgGAWjYDACZgY2BoYKCTl+ZubDD0jQcsbCWLKdLc2AWHvYGBjbKhI3nOdRkCBKvcFx3mMPPpyRMDY+zMNgwFBjE01Qi2QzX7rhDKBfzA7zHnjAcCwtt4GQFn5mHjNpHqAtZof5EgwYGw4T1sIG0sLbJpG4uZnHQIIoLfwwLRuYidUi2cxjbjgD6DCJw8BATiDGLwbnz5g9+FBRJ8fff/jwgw81NoS1oIIE0pSPglEwCkbBKMAFALAHNxkuQhAdAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-5805-1316","institution":"Northeastern University","correspondingAuthor":true,"prefix":"","firstName":"Bo","middleName":"","lastName":"Xin","suffix":""},{"id":268662043,"identity":"eeaef3f3-8f94-4915-9901-defbc02e95dd","order_by":2,"name":"Jiangtao Li","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Jiangtao","middleName":"","lastName":"Li","suffix":""},{"id":268662044,"identity":"0a3109a2-28b7-43f0-90ee-a0b15db472c3","order_by":3,"name":"Lida Zhu","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Lida","middleName":"","lastName":"Zhu","suffix":""}],"badges":[],"createdAt":"2024-01-19 04:08:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3877565/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3877565/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00170-024-14318-9","type":"published","date":"2024-08-31T15:56:49+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":63820746,"identity":"20bc6e4e-f896-4a7e-b593-46bead29bbbf","added_by":"auto","created_at":"2024-09-02 16:05:03","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":907746,"visible":true,"origin":"","legend":"","description":"","filename":"renamed3e1ee.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3877565/v1_covered_fb0b665f-ee1d-412e-82a9-d4205b829752.pdf"}],"financialInterests":"","formattedTitle":"Empirical formula model and process parameter optimization of two-dimensional ultrasonic assisted grinding force based on 2.5D-Cf/SiC fiber orientation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"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},"keywords":"2.5D-Cf/SiC composites, Fiber orientation, Parameter optimization, Two-dimensional ultrasound, Empirical equation","lastPublishedDoi":"10.21203/rs.3.rs-3877565/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3877565/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDue to the anisotropic characteristic of carbon fiber-reinforced silicon carbide ceramics, the fiber orientation angle significantly affects the grinding force. Therefore, it is important to study the influence rule of different fiber orientations on the grinding force of 2.5D-C\u003csub\u003ef\u003c/sub\u003e/SiC composites. To study the comprehensive influence of machine tool parameters and the anisotropy of carbon fiber reinforced ceramic matrix composites on the grinding force, two-dimensional ultrasonic plane grinding was studied by orthogonal test and single factor experiment. Based on the multi-exponential fitting analysis method of multiple linear regression equation, the empirical equations of power exponential grinding force prediction model of 2D ultrasonic assisted grinding and conventional grinding 2.5D-C\u003csub\u003ef\u003c/sub\u003e/SiC composites at 0\u0026deg;, 45\u0026deg;, 90\u0026deg; fiber orientation and considering fiber orientation and ultrasonic amplitude were established respectively. To verify the empirical formula model in predicting the grinding force of 2.5D-C\u003csub\u003ef\u003c/sub\u003e/SiC composites under various fiber orientation angles, the regression equation and regression coefficient of the model were examined. The influence of 2.5D-C\u003csub\u003ef\u003c/sub\u003e/SiC grinding parameters on the grinding force was analyzed. The parameters of the grinding force model were optimized based on range analysis and variance analysis, and the optimal process parameter combination was obtained. The results show that the grinding force is negatively correlated with the linear speed, and positively correlated with the feed speed and grinding depth within the range of experimental parameters. The maximum reduction of the normal grinding force is 29.78% when the line speed is 10.48m/s, the feed speed is 100 mm/min, the grinding depth is 50\u0026micro;m, and along the 45\u0026deg; fiber direction. The optimal grinding parameter combination is a line speed of 23.60m/s, feed speed of 5mm/min, and grinding depth of 10\u0026micro;m along the 0\u0026deg; fiber orientation.\u003c/p\u003e","manuscriptTitle":"Empirical formula model and process parameter optimization of two-dimensional ultrasonic assisted grinding force based on 2.5D-Cf/SiC fiber orientation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-24 03:10:46","doi":"10.21203/rs.3.rs-3877565/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Minor Revisions Needed","date":"2024-08-12T05:41:19+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2024-06-07T08:27:51+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-01-22T12:24:11+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-01-19T02:05:43+00:00","index":"","fulltext":""},{"type":"submitted","content":"The International Journal of Advanced Manufacturing Technology","date":"2024-01-17T23:24:56+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":"7706ecea-de7a-4f69-8c82-1273ae3177d7","owner":[],"postedDate":"January 24th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-09-02T15:58:34+00:00","versionOfRecord":{"articleIdentity":"rs-3877565","link":"https://doi.org/10.1007/s00170-024-14318-9","journal":{"identity":"the-international-journal-of-advanced-manufacturing-technology","isVorOnly":false,"title":"The International Journal of Advanced Manufacturing Technology"},"publishedOn":"2024-08-31 15:56:49","publishedOnDateReadable":"August 31st, 2024"},"versionCreatedAt":"2024-01-24 03:10:46","video":"","vorDoi":"10.1007/s00170-024-14318-9","vorDoiUrl":"https://doi.org/10.1007/s00170-024-14318-9","workflowStages":[]},"version":"v1","identity":"rs-3877565","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3877565","identity":"rs-3877565","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}