Multi-body Dynamic Optimization Design of Sliding Guideway of Electrical Vehicles Based on Trust Region Algorithm

Multi-body Dynamic Optimization Design of Sliding Guideway of Electrical Vehicles Based on Trust Region Algorithm | 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 Multi-body Dynamic Optimization Design of Sliding Guideway of Electrical Vehicles Based on Trust Region Algorithm Yan Li, Geng Zhi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7940685/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study examines damage mechanisms in delivery vehicle sliding door systems, specifically addressing forced vibrations affecting neck components and roller assemblies. The design methodology employs a trust region multi-objective optimization algorithm to address complex nonlinear mechanical systems. The optimization approach partitions the design space into discrete sub-regions, applying iterative approximation methods within each trust region to derive guide rail parameters that satisfy smoothness requirements. Dynamic simulations conducted in ADAMS analyze rail system performance during standard operation, evaluating oblique vibrations in sliding components and forced bearing element motion. The proposed methodology integrates multi-body dynamics analysis with trust region optimization, offering a systematic framework for sliding guide rail design that balances spatial constraints with mechanical performance requirements. The validated design demonstrates enhanced performance characteristics compared to conventional configurations, particularly regarding vibration reduction and load distribution uniformity. Mechanical Engineering Sliding guideway Optimization Trust region algorithm Electrical vehicles Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted 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. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7940685","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":534501482,"identity":"63fac7f2-1aeb-4d9e-b55f-65ca039e2df9","order_by":0,"name":"Yan Li","email":"","orcid":"","institution":"University of Shanghai for Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Yan","middleName":"","lastName":"Li","suffix":""},{"id":534501495,"identity":"137aa4f0-2df0-4c31-bc48-22142c43f191","order_by":1,"name":"Geng Zhi","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8UlEQVRIiWNgGAWjYBACPmYYgx1IfGBgSCCohQ2ixQDMYJxBlBYGJC3MPERpYWe/+Lng1x85NmbmY59t2+zy+NkbGD98zMHnMJ5i6Zl9BsZszGzJs3Pbkoslew4wS87chldLgjRvj0FiGzOPMXNuG3PihhsJbMy8+LUk/wZqqW9j5v/MbNlWT4wW9mPSPD8MgMp4mJkZ2w4TZQubNW+DsWEbM5sxY8+544kzew424/ULP//xx7d5/sjJ87M3P2b4UVad2M/efPDDRzxaGBh4DBgY26BsRnA0MTbgUw8E7A8YGP7AOH9wKhsFo2AUjIIRDAAkyER4FR5MGQAAAABJRU5ErkJggg==","orcid":"","institution":"Shanghai Macrockets Technology Co., Ltd","correspondingAuthor":true,"prefix":"","firstName":"Geng","middleName":"","lastName":"Zhi","suffix":""}],"badges":[],"createdAt":"2025-10-25 03:35:50","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7940685/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7940685/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":94580815,"identity":"c54731a2-f1ec-4324-affe-0655062b4274","added_by":"auto","created_at":"2025-10-28 18:12:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":795777,"visible":true,"origin":"","legend":"","description":"","filename":"SlidingDoorElsevier.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7940685/v1_covered_00ba2db0-1795-46fb-9e10-6161f9fe7b8f.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eMulti-body Dynamic Optimization Design of Sliding Guideway of Electrical Vehicles Based on Trust Region Algorithm\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"University of Shanghai for Science and Technology","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Sliding guideway, Optimization, Trust region algorithm, Electrical vehicles","lastPublishedDoi":"10.21203/rs.3.rs-7940685/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7940685/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study examines damage mechanisms in delivery vehicle sliding door systems, specifically addressing forced vibrations affecting neck components and roller assemblies. \u0026nbsp;The design methodology employs a trust region multi-objective optimization algorithm to address complex nonlinear mechanical systems. 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