An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging

An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging | 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 An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging Jun Wu, Zhen Zhang, Yuheng Zhu, Yuanhong Tang, Runxia Guo, Jiusheng Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3887343/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 The tail jet field’s temperature distribution of aircraft engines is of great significance to reflect the combustion efficiency and the formation mechanism of pollutants. The traditional temperature sensor measurement method has a series of shortcomings such as single point measurement, destruction of the flow field and poor spatial and temporal resolution, so it is not suitable for the application scenarios of the tail jet temperature field measurement. Schlieren method, as a visual measurement technology of flow field, is an effective method for real-time measurement of flow field parameters, with the characteristics of large measuring range, fast response speed and simple testing equipment. In order to improve the accuracy of the traditional schlieren method, this paper presents a temperature field distribution reconstruction method by decoupling flow velocity and density field, considering the influence of flow field velocity, density and other factors on temperature field. Firstly, the light deflection angle of the schlieren image is obtained by the change of brightness and darkness in the picture, and then the density distribution of the flow field is obtained indirectly. Then, through the schlieren images of continuous frames, the flow velocity distribution is obtained by using the optical flow velocity measurement algorithm. After that, the obtained density and velocity information can be used to calculate the pressure distribution of the flow field. Finally, the temperature distribution of the flow field can be obtained by using the obtained flow velocity, density and pressure information through the numerical calculation of the energy equation. The experimental results show that the maximum deviation of this method is about 5% compared with that of thermocouple measurement. Therefore, the method proposed in this paper can accurately reconstruct the temperature distribution of high temperature and high speed flow field, and effectively expand the application range of schlieren method in the quantitative measurement of flow field. Visual measurement Schlieren method Multi-physics decoupling method Temperature distribution Aero engine condition monitoring 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. 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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-3887343","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":269152124,"identity":"44968e5d-7b3d-4df7-9ba8-02d2290930f6","order_by":0,"name":"Jun Wu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAt0lEQVRIiWNgGAWjYHCCBAjF3tj48ANpWngONxtLkGaZRHqbAA8xCg1uJDyTLqixS+yf+bCNQYLBTk63gbCWNOkZx5ITZ9xObHtQwJBsbHaAgBYzkBbeBubEDdKJ7QYSDAcStxGppT5xg+TBNgkeErQcTtwgwUikFvszD5KteY4dN55xJhEYyAZE+EWyPSfxNk9NtWx/+/GHDz9U2MkR1AKMwgQkjgFB5SDATtjUUTAKRsEoGOEAAObkQkkG7EfWAAAAAElFTkSuQmCC","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":true,"prefix":"","firstName":"Jun","middleName":"","lastName":"Wu","suffix":""},{"id":269152125,"identity":"02c073ec-65f1-4513-8580-9c661ee536b1","order_by":1,"name":"Zhen Zhang","email":"","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":false,"prefix":"","firstName":"Zhen","middleName":"","lastName":"Zhang","suffix":""},{"id":269152126,"identity":"6eb57366-913f-43cb-b671-8389c16de463","order_by":2,"name":"Yuheng Zhu","email":"","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":false,"prefix":"","firstName":"Yuheng","middleName":"","lastName":"Zhu","suffix":""},{"id":269152127,"identity":"b8b119d5-748a-4a61-bf3b-f2509d319e96","order_by":3,"name":"Yuanhong Tang","email":"","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":false,"prefix":"","firstName":"Yuanhong","middleName":"","lastName":"Tang","suffix":""},{"id":269152128,"identity":"08652e41-03d9-4851-9af9-f4a187eb4f26","order_by":4,"name":"Runxia Guo","email":"","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":false,"prefix":"","firstName":"Runxia","middleName":"","lastName":"Guo","suffix":""},{"id":269152129,"identity":"e59513af-299d-4628-9421-ba086ad04cd7","order_by":5,"name":"Jiusheng Chen","email":"","orcid":"","institution":"Civil Aviation University of China","correspondingAuthor":false,"prefix":"","firstName":"Jiusheng","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2024-01-22 08:18:18","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3887343/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3887343/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":50561923,"identity":"c6ad4c22-8445-4c3d-bf9e-21be8d2d48ef","added_by":"auto","created_at":"2024-02-02 14:22:35","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":770864,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptforEIF.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3887343/v1_covered_256a5e43-c2eb-4180-b8de-c62b80a785a4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging","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":"Visual measurement, Schlieren method, Multi-physics decoupling method, Temperature distribution, Aero engine condition monitoring","lastPublishedDoi":"10.21203/rs.3.rs-3887343/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3887343/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe tail jet field\u0026rsquo;s temperature distribution of aircraft engines is of great significance to reflect the combustion efficiency and the formation mechanism of pollutants. The traditional temperature sensor measurement method has a series of shortcomings such as single point measurement, destruction of the flow field and poor spatial and temporal resolution, so it is not suitable for the application scenarios of the tail jet temperature field measurement. Schlieren method, as a visual measurement technology of flow field, is an effective method for real-time measurement of flow field parameters, with the characteristics of large measuring range, fast response speed and simple testing equipment. In order to improve the accuracy of the traditional schlieren method, this paper presents a temperature field distribution reconstruction method by decoupling flow velocity and density field, considering the influence of flow field velocity, density and other factors on temperature field. Firstly, the light deflection angle of the schlieren image is obtained by the change of brightness and darkness in the picture, and then the density distribution of the flow field is obtained indirectly. Then, through the schlieren images of continuous frames, the flow velocity distribution is obtained by using the optical flow velocity measurement algorithm. After that, the obtained density and velocity information can be used to calculate the pressure distribution of the flow field. Finally, the temperature distribution of the flow field can be obtained by using the obtained flow velocity, density and pressure information through the numerical calculation of the energy equation. The experimental results show that the maximum deviation of this method is about 5% compared with that of thermocouple measurement. Therefore, the method proposed in this paper can accurately reconstruct the temperature distribution of high temperature and high speed flow field, and effectively expand the application range of schlieren method in the quantitative measurement of flow field.\u003c/p\u003e","manuscriptTitle":"An accurate temperature field reconstruction method based on multi-physics decoupling with schlieren imaging","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-29 16:54:08","doi":"10.21203/rs.3.rs-3887343/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":"e5922085-2adc-4b7b-a9d6-6909192423bf","owner":[],"postedDate":"January 29th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-02-02T14:14:24+00:00","versionOfRecord":[],"versionCreatedAt":"2024-01-29 16:54:08","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3887343","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3887343","identity":"rs-3887343","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}