Experimental and parametric analysis of friction stir welding on AA 8011-H14 using multi-objective Taguchi-based grey relational analysis for structural applications

Experimental and parametric analysis of friction stir welding on AA 8011-H14 using multi-objective Taguchi-based grey relational analysis for structural applications | 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 Experimental and parametric analysis of friction stir welding on AA 8011-H14 using multi-objective Taguchi-based grey relational analysis for structural applications B. Magamai Radj, Sendhil Kumar Natarajan, Gopi Vasudevan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4182434/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 In this study, Taguchi grey relational analysis (GRA) is employed to optimize process parameters in a multi-objective fashion, aiming to maximize the mechanical characteristics of a 2-mm-thick friction stir-welded AA 8011-H14 aluminum alloy sheet. The experimental design utilized Taguchi's L 9 factorial design, varying tool penetration depth, feed speed, and tool rotational speed. The study evaluated output responses, including ultimate tensile strength, yield strength, percentage elongation, and microhardness in the welded region. Macro and microstructure analyses were conducted on the optimized joints at different locations within the welded region. The impact of process parameters on GRA was investigated through analysis of variance. Results indicated that tool rotational speed exerted the most significant influence, followed by tool penetration depth and feed speed, in terms of enhancing output responses. The study also quantified the percentage contribution of each process parameter to friction stir welding. Friction stir welding microhardness multi-objective optimization tensile strength Taguchi-grey method 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-4182434","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":287781104,"identity":"5db73578-126b-41ff-a363-7af89da92e3e","order_by":0,"name":"B. 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