Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites

Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites | 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 Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites Karthik Adiga, Mervin A Herbert, Shrikantha S Rao, Arun Kumar Shettigar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4274038/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 Friction Stir Processing is a state-of-the-art technology for microstructure refinement, material property enhancement, and surface composites fabrication. This investigation concentrates on AA8090/SiC surface composites produced via friction stir processing. Experiments were conducted by varying the following friction stir processing parameters: Tool rotational speed (800–1400 rpm), Tool traverse speed (25–75 mm/min), and Groove width (1.0-1.8 mm). Response measures encompassed Ultimate Tensile Strength and surface roughness. Central Composite Design of Response Surface Methodology designed the experiments and mathematical relationships established between input parameters and ultimate tensile strength and surface roughness. Analysis of variance was used to test the model's adequacy. The models examined individual and interaction effects of input factors on ultimate tensile strength and surface roughness of surface composites. A combinations of input parameters was identified that yields the maximum ultimate tensile strength and minimum surface roughness. Results indicate that increasing tool rotational speed produces well-finished AA8090/SiC surface composites with decreased strength. In contrast, increased tool traverse speed and groove width generate surface composites with rougher surfaces and higher strength. Surface and contour plots further explored the influence of parameter interactions on responses. Friction stir processing Surface composites RSM Optimization 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-4274038","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":300016755,"identity":"1ccd9b11-16bd-4b65-8eb8-1e172ed6347d","order_by":0,"name":"Karthik Adiga","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYBACCSBmZqhgk+MH8RIKiNPC2Mxwhs9YsgGkxYBYLYxtcokbDoC4xGiRbD/7/HEBmxnj5vOrEz88MGCQ5xc7gF+LNE+6YfMMnjRmsxtvN0sAHWY4c3YCfi1yDGmMzTwSx9jMbpzdANKSYHCbkBb+Z0AtBv95jGec3fyDKC3SEiBbEtgkDPh7txFni+SMZ4yzeQ6wGUjc4N1mkWAgQdgvEufTGD7z/mOr7+8/u/nmjwobeX5pAlqQNINVShCrHAT4D5CiehSMglEwCkYSAABJGUAhnLHQHwAAAABJRU5ErkJggg==","orcid":"","institution":"National institute of technology karnataka","correspondingAuthor":true,"prefix":"","firstName":"Karthik","middleName":"","lastName":"Adiga","suffix":""},{"id":300016757,"identity":"93bda8d6-d6a3-451b-aebb-0be25887d807","order_by":1,"name":"Mervin A Herbert","email":"","orcid":"","institution":"National institute of technology karnataka","correspondingAuthor":false,"prefix":"","firstName":"Mervin","middleName":"A","lastName":"Herbert","suffix":""},{"id":300016758,"identity":"d41db1e0-54cd-4dc7-959b-c6aaaf4cd021","order_by":2,"name":"Shrikantha S Rao","email":"","orcid":"","institution":"National institute of technology karnataka","correspondingAuthor":false,"prefix":"","firstName":"Shrikantha","middleName":"S","lastName":"Rao","suffix":""},{"id":300016759,"identity":"4e1a63a8-cf36-4ee9-bba8-16894c7f8004","order_by":3,"name":"Arun Kumar Shettigar","email":"","orcid":"","institution":"National institute of technology karnataka","correspondingAuthor":false,"prefix":"","firstName":"Arun","middleName":"Kumar","lastName":"Shettigar","suffix":""}],"badges":[],"createdAt":"2024-04-16 07:27:02","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4274038/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4274038/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56609593,"identity":"5492c8d0-18e0-469c-bca0-c7369d2482b0","added_by":"auto","created_at":"2024-05-16 14:49:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1219494,"visible":true,"origin":"","legend":"","description":"","filename":"FSPSiCmanuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4274038/v1_covered_500c2247-6e38-44be-810c-37bede5cb001.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Control Factor Optimization for Friction Stir Processing of AA8090/SiC Surface Composites","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":"Friction stir processing, Surface composites, RSM, Optimization","lastPublishedDoi":"10.21203/rs.3.rs-4274038/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4274038/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eFriction Stir Processing is a state-of-the-art technology for microstructure refinement, material property enhancement, and surface composites fabrication. This investigation concentrates on AA8090/SiC surface composites produced via friction stir processing. Experiments were conducted by varying the following friction stir processing parameters: Tool rotational speed (800\u0026ndash;1400 rpm), Tool traverse speed (25\u0026ndash;75 mm/min), and Groove width (1.0-1.8 mm). Response measures encompassed Ultimate Tensile Strength and surface roughness. Central Composite Design of Response Surface Methodology designed the experiments and mathematical relationships established between input parameters and ultimate tensile strength and surface roughness. Analysis of variance was used to test the model's adequacy. The models examined individual and interaction effects of input factors on ultimate tensile strength and surface roughness of surface composites. A combinations of input parameters was identified that yields the maximum ultimate tensile strength and minimum surface roughness. Results indicate that increasing tool rotational speed produces well-finished AA8090/SiC surface composites with decreased strength. In contrast, increased tool traverse speed and groove width generate surface composites with rougher surfaces and higher strength. 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