Analytical modeling of yield strength-grain size-processing parameters relationship

Analytical modeling of yield strength-grain size-processing parameters relationship | 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 Analytical modeling of yield strength-grain size-processing parameters relationship Wei Huang, Hamid Garmestani, Steven Y. Liang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6866230/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 main focus of this research is to investigate how microstructural changes impact material properties of yield strength, which involves studying the material’s microstructure—grain size—in the emerging additive manufacturing (AM) technology. Compared to the expensive cost of traditional test-and-trial or finite element methods (FEM), physics-based analytical simulation with closed-form solution is playing an increasing important role in prediction and process optimization of microstructure evolution and materials properties in metal AM industries. In this work, various models have been developed to predict manufacturing processes using physics-based frameworks, and experimental results have been used to validate these models. It has been observed that the periodic settings of laser power and scanning speed lead to similar trends of grain size and yield strengths, which shows the existence of the relevant quantitative relationship, and these findings pave the road for the future of inverse search for optimized processing parameters. additive manufacturing analytical modeling processing-microstructure-properties relationship yield strength grain size 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-6866230","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":469443010,"identity":"edfe3f17-fe02-4040-9c98-1b5a7626b585","order_by":0,"name":"Wei Huang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABB0lEQVRIiWNgGAWjYFACxgZmMM3eAyQOMMiAOTxEaeE5A9bCQ4QWBgaIFokcIrUYHG9uYC5ss8uTj3x78HHFGRsefokExgdv2/BoOXOwgXlmW3Kx4e28ZMMzN9J4JGckMBvOxaPF7EZiAzNvG3Pixtk5ZpINHw7zGNxIYJPmxafl/kOQlvrEjTPPmP9s+PCfx/5GAvtvvFpuMIK0HE6cL8Fjxthw4wCPgUQCGzM+LfZngA7jOXc8cQNPXrJkw5lkHokzD5sl55zDrUWy/fgDZp6y6sT57WcPfmw4ZifH35588MObMtxagID9B4g0OADjCyQ24FUPB/JwdfwHcKsaBaNgFIyCEQkATvpVeRkiUwMAAAAASUVORK5CYII=","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Wei","middleName":"","lastName":"Huang","suffix":""},{"id":469443144,"identity":"b45544ba-b249-4060-b9d5-883ab43fbeb8","order_by":1,"name":"Hamid Garmestani","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Hamid","middleName":"","lastName":"Garmestani","suffix":""},{"id":469444298,"identity":"5e171323-e210-44bc-9828-0a6d3b1c5861","order_by":2,"name":"Steven Y. Liang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Steven","middleName":"Y.","lastName":"Liang","suffix":""}],"badges":[],"createdAt":"2025-06-10 21:16:31","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-6866230/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6866230/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84440172,"identity":"ec07fd4d-3153-4f3d-81f5-a89f9858389b","added_by":"auto","created_at":"2025-06-12 03:38:35","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":302206,"visible":true,"origin":"","legend":"","description":"","filename":"Paper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6866230/v1_covered_c9f3ac65-f70a-4a35-b53b-5dd62bc59d3f.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eAnalytical modeling of yield strength-grain size-processing parameters relationship\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Georgia Institute of 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":"additive manufacturing, analytical modeling, processing-microstructure-properties relationship, yield strength, grain size","lastPublishedDoi":"10.21203/rs.3.rs-6866230/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6866230/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe main focus of this research is to investigate how microstructural changes impact material properties of yield strength, which involves studying the material’s microstructure—grain size—in the emerging additive manufacturing (AM) technology. Compared to the expensive cost of traditional test-and-trial or finite element methods (FEM), physics-based analytical simulation with closed-form solution is playing an increasing important role in prediction and process optimization of microstructure evolution and materials properties in metal AM industries. In this work, various models have been developed to predict manufacturing processes using physics-based frameworks, and experimental results have been used to validate these models. It has been observed that the periodic settings of laser power and scanning speed lead to similar trends of grain size and yield strengths, which shows the existence of the relevant quantitative relationship, and these findings pave the road for the future of inverse search for optimized processing parameters.\u003c/p\u003e","manuscriptTitle":"Analytical modeling of yield strength-grain size-processing parameters relationship","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-12 03:30:29","doi":"10.21203/rs.3.rs-6866230/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":"f8c49217-ca93-49ac-b4e8-4f2daf53c30a","owner":[],"postedDate":"June 12th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-06-12T03:30:29+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-12 03:30:29","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6866230","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6866230","identity":"rs-6866230","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}