Fully Automated CFD Simulation System Research Based on Design Scheme Tree

Fully Automated CFD Simulation System Research Based on Design Scheme Tree | 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Article Fully Automated CFD Simulation System Research Based on Design Scheme Tree Zijun Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4678916/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 In comparison to remarkable achievements of computer-aided drug discovery system for drug discovery, the role of computational fluid dynamics (CFD) played for flow channel design requires further enhancement. While CFD has undergone rapid evolution, the absence of integrated geometry and mesh processing hinders potential development of advanced applications of CFD. This paper presents JIACFD toolset to overcome the limitation and establishes fully automated CFD simulation system with it. The simulation system is also constructed on design scheme tree which is more in accordance with engineering thinking logic. The control parameter trend analysis method is introduced to select appropriate candidates from design scheme tree. Additionally, the control parameter trend assumption which will be proved by Spearman method is proposed to improve efficiency of the system. During verification process on study case, two independent control parameters are found to have trend correlation, and one control parameter converged when number of meshes increasing, indicating lack of trend sensitivity. Subsequently, the design scheme tree and trend curve are utilized to effectively analyze flow field characteristics of different schemes. Finally, control parameter trend analysis method will be employed to rank design scheme tree and verify that ranking for candidates is not dependent on number of meshes. This paper investigates and verifies presented system, method, and assumption and explores possibility of established system playing more critical role in performance design work. Fully automation CFD Trend analysis CADD Full Text Additional Declarations No competing interests reported. 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. 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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-4678916","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":332240408,"identity":"eec13503-ec58-4410-b978-d6fd3d3be411","order_by":0,"name":"Zijun Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAx0lEQVRIiWNgGAWjYBACPnYgIcHDIMfP3nzgwIcfRGhhY4ZoMZbsOZZ4cGYPsVqAINFgho/xYQ42orSwP/5gIcOQYCDB8+EwAw+DPL/YAYK2gFQz5JlL9244XGDBYDhzdgJBLQcSgFqKLeec3XB4Bg/QgNsEtTA2HABqSdxwI+fBYR42orQA9UC1MBCrBeg0aCAbAANZgrBf+NnbH3+W7AFH5eMPH37YyPNLE9ACAsySPf9hbAnCykGAkah0MgpGwSgYBSMXAACkxTyQCbpoRAAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Zijun","middleName":"","lastName":"Liu","suffix":""}],"badges":[],"createdAt":"2024-07-03 08:45:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4678916/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4678916/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61365960,"identity":"f9d5a0b2-b47d-4da4-a5a6-344f055af7c3","added_by":"auto","created_at":"2024-07-30 01:36:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":15626143,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4678916/v1_covered_259c9ee6-08d7-4a90-9cb6-8ac01e9bd848.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Fully Automated CFD Simulation System Research Based on Design Scheme Tree","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","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":"Fully automation, CFD, Trend analysis, CADD","lastPublishedDoi":"10.21203/rs.3.rs-4678916/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4678916/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In comparison to remarkable achievements of computer-aided drug discovery system for drug discovery, the role of computational fluid dynamics (CFD) played for flow channel design requires further enhancement. 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