Optimization for Turbomachinery Performance Using Inverse Design Method: Integrating Cascade System and Flow Characteristics

Optimization for Turbomachinery Performance Using Inverse Design Method: Integrating Cascade System and Flow Characteristics | 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 Article Optimization for Turbomachinery Performance Using Inverse Design Method: Integrating Cascade System and Flow Characteristics Zhifang Ke, Wei Wei, Meng Guo, Cheng Liu, Qingdong Yan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4224218/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 Conventional optimization approaches for torque converters often rely on iterative trial-and-error methods, resulting in inherent limitations and uncertainties. To address these challenges and achieve performance optimization based on flow characteristics, this study proposes an inverse design method for turbomachinery. Introducing a novel index for blade loads, denoted as rvt , enables simultaneous optimization for both the cascade system and the flow field. Furthermore, a pump’s driven loads are introduced for the directional design of the blade load characteristics of high-capacity torque converters. Building upon the inverse design method, a directional optimization strategy is developed to enhance the pump capacity or torque ratio, guided by the concept of driven loads. The inverse design method allows for the targeted design of blade shapes while ensuring optimal blade shape and flow field distribution. The design results and the prototype demonstrate a significant 8.28% increase in pump capacity and a notable 4.9% reduction in the magnitude of blade loads in the internal flow field. These findings confirm the efficacy of the inverse design method in achieving directional enhancement of pump capacity while optimizing the smoothness of the internal flow field. Physical sciences/Engineering/Mechanical engineering Physical sciences/Mathematics and computing/Applied mathematics 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. 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-4224218","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":292402770,"identity":"52a28cde-36e6-48dd-bcc1-ae66bac364b2","order_by":0,"name":"Zhifang Ke","email":"","orcid":"","institution":"Beijing Institute of Technology, School of Mechanical Egnineering","correspondingAuthor":false,"prefix":"","firstName":"Zhifang","middleName":"","lastName":"Ke","suffix":""},{"id":292402772,"identity":"84cef336-f51c-4bab-a6e5-4e0f85471714","order_by":1,"name":"Wei Wei","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA20lEQVRIie3QsQrCMBCA4ZNCXe4BWtR3CAh1EfsqFsFJxLGjIKSLOOtb9BGuZOgSd6GCitBN6KhQ0EacRGLdHPIvIXAf5AJgMv1ljTkAI4TmEuh1rUkQJRDVI88I0JmoowZh6YI7xWzf9t1LIgrod2Ky8qOWyIS7a5YjtqbD6mHjbkx2j+mItwt4hkxUZMIqIoKY0Ha05HDiWamIKxW51yC7Bs9AEQcVoe/El0F0W6pdZLWLZKPuRtielrhRembXcu83o60ownDQWaWLXEveUl9l/TBvMplMps89AN7/UgHAc9zVAAAAAElFTkSuQmCC","orcid":"","institution":"Beijing Institute of Technology, School of Mechanical Egnineering","correspondingAuthor":true,"prefix":"","firstName":"Wei","middleName":"","lastName":"Wei","suffix":""},{"id":292402774,"identity":"fd953b01-2ff4-44f8-a8aa-8619ead9e45d","order_by":2,"name":"Meng Guo","email":"","orcid":"","institution":"Beijing Institute of Technology, School of Mechanical Egnineering","correspondingAuthor":false,"prefix":"","firstName":"Meng","middleName":"","lastName":"Guo","suffix":""},{"id":292402777,"identity":"0599541d-588a-4666-9fb5-d7e0de61e205","order_by":3,"name":"Cheng Liu","email":"","orcid":"","institution":"Beijing Institute of Technology, School of Mechanical Egnineering","correspondingAuthor":false,"prefix":"","firstName":"Cheng","middleName":"","lastName":"Liu","suffix":""},{"id":292402778,"identity":"16a5efd7-8297-44da-89f4-dc35d38963d2","order_by":4,"name":"Qingdong Yan","email":"","orcid":"","institution":"Beijing Institute of Technology, School of Mechanical Egnineering","correspondingAuthor":false,"prefix":"","firstName":"Qingdong","middleName":"","lastName":"Yan","suffix":""}],"badges":[],"createdAt":"2024-04-05 17:05:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4224218/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4224218/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":67737076,"identity":"ca560cab-eda7-4f02-b180-4515786f157d","added_by":"auto","created_at":"2024-10-29 08:09:51","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2264183,"visible":true,"origin":"","legend":"","description":"","filename":"manuscriptIDMCo01.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4224218/v1_covered_9f7c3b1c-4c36-4bbc-a029-ba6df0333a9b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimization for Turbomachinery Performance Using Inverse Design Method: Integrating Cascade System and Flow Characteristics","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"","lastPublishedDoi":"10.21203/rs.3.rs-4224218/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4224218/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Conventional optimization approaches for torque converters often rely on iterative trial-and-error methods, resulting in inherent limitations and uncertainties. To address these challenges and achieve performance optimization based on flow characteristics, this study proposes an inverse design method for turbomachinery. Introducing a novel index for blade loads, denoted as rvt , enables simultaneous optimization for both the cascade system and the flow field. Furthermore, a pump’s driven loads are introduced for the directional design of the blade load characteristics of high-capacity torque converters. Building upon the inverse design method, a directional optimization strategy is developed to enhance the pump capacity or torque ratio, guided by the concept of driven loads. The inverse design method allows for the targeted design of blade shapes while ensuring optimal blade shape and flow field distribution. The design results and the prototype demonstrate a significant 8.28% increase in pump capacity and a notable 4.9% reduction in the magnitude of blade loads in the internal flow field. These findings confirm the efficacy of the inverse design method in achieving directional enhancement of pump capacity while optimizing the smoothness of the internal flow field.","manuscriptTitle":"Optimization for Turbomachinery Performance Using Inverse Design Method: Integrating Cascade System and Flow Characteristics","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-19 02:53:26","doi":"10.21203/rs.3.rs-4224218/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"824b411f-bac3-4b24-9f17-22f89554e678","owner":[],"postedDate":"April 19th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":30806789,"name":"Physical sciences/Engineering/Mechanical engineering"},{"id":30806790,"name":"Physical sciences/Mathematics and computing/Applied mathematics"}],"tags":[],"updatedAt":"2024-10-29T08:09:27+00:00","versionOfRecord":[],"versionCreatedAt":"2024-04-19 02:53:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4224218","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4224218","identity":"rs-4224218","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}