Optimizing the process parameters for selective laser-melted Inconel 718

Optimizing the process parameters for selective laser-melted Inconel 718 | 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 Optimizing the process parameters for selective laser-melted Inconel 718 Hemanandan P, Jeeva P A This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8973888/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 Additive manufacturing plays a major role in the latest generation of manufacturing. Selective Laser Melting is the most widely used process in the industry. The study investigates the optimization of process parameter with the Taguchi and Grey relational analysis. The L 9 Taguchi factorial design is utilized with four control variables at three levels. Tensile strength, Hardness and Surface texture have been investigated. When applying Grey relational analysis for multi objective optimization, the optimized parameters are 300 W of laser power, 1000 mm/s of Scan speed, 110 µm of Hatch distance and 30 µm of layer thickness and based on the responses from grades, the level of parameter influence is identified. Selective laser melting grey regression analysis optimization Inconel 718 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-8973888","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":598839425,"identity":"b0a0d27a-2b93-4ee9-a699-684119fd4270","order_by":0,"name":"Hemanandan P","email":"","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":false,"prefix":"","firstName":"Hemanandan","middleName":"","lastName":"P","suffix":""},{"id":598839427,"identity":"42f73ddc-23f2-47c3-85c8-c04823d6c5c8","order_by":1,"name":"Jeeva P A","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVRIiWNgGAWjYHCCBBAhx8AM4fEQrcWYgZmZeC1gkNgAs4YgMGc/8PDBxza79A3H+Q8w/KhhkDEnpMWyJyHZcGZbcu6Gw8wMjD3HGHgsGwhoMTiQkCbNc4Y5d2Yz0GG8DQw8BgcIaTn/IP33nzP16ZJALYx/idJyIyGNmaHicAI/MMSYibLFcsaDZMmeiuOG/czMBodljkkQ1mLOn5P44YdBtTwb/8GHD9/U2NgTdhgDTwKcA1QsQUA9WAs7IVNHwSgYBaNgxAMAUzo5TWBhHh4AAAAASUVORK5CYII=","orcid":"","institution":"Vellore Institute of Technology University","correspondingAuthor":true,"prefix":"","firstName":"Jeeva","middleName":"P","lastName":"A","suffix":""}],"badges":[],"createdAt":"2026-02-26 06:09:39","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8973888/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8973888/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105292179,"identity":"0704bcd5-7ed4-412b-ae90-23d4623c74df","added_by":"auto","created_at":"2026-03-24 12:28:22","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":570496,"visible":true,"origin":"","legend":"","description":"","filename":"OptimizingtheprocessparametersforselectivelasermeltedInconel718.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8973888/v1_covered_234864a4-5289-49ba-94e8-2867c39e77a6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Optimizing the process parameters for selective laser-melted Inconel 718","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":"Selective laser melting, grey regression analysis, optimization, Inconel 718","lastPublishedDoi":"10.21203/rs.3.rs-8973888/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8973888/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAdditive manufacturing plays a major role in the latest generation of manufacturing. Selective Laser Melting is the most widely used process in the industry. The study investigates the optimization of process parameter with the Taguchi and Grey relational analysis. The L\u003csub\u003e9\u003c/sub\u003e Taguchi factorial design is utilized with four control variables at three levels. Tensile strength, Hardness and Surface texture have been investigated. 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