Case study report on design, manufacturing and digital twinning of a DED-arc steel node for construction

Case study report on design, manufacturing and digital twinning of a DED-arc steel node for construction | 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 Case study report on design, manufacturing and digital twinning of a DED-arc steel node for construction Johanna Müller, Hendrik Jahns, Marc Müggenburg, Klaus Thiele, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7721890/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 This report presents a comprehensive investigation into the design, manufacturing, and evaluation of DED-arc (also known as Wire Arc Additive Manufacturing - WAAM) Y-node for the construction industry. Focusing on the challenges of slicing and manufacturing strategy, the study highlights the relationship between geometric freedom, path planning complexity, and manufacturing optimization. It emphasizes the importance of early consideration of manufacturing process constraints to enhance design efficiency. The integration of design, manufacturing process, and geometry data within a Digital Twin (DT) structure is thoroughly explored. Moreover, the paper demonstrates the role of DT data in predicting component behavior, offering insights into stress distribution predictions influenced by manufacturing strategy. This research contributes to advancing methods for component behavior analysis and optimization, with significant implications for the construction industry. Additive Manufacturing Construction DED-arc Slicing Steel Node Digital Twin WAAM HSLA 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-7721890","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":522357207,"identity":"a341af8e-6b9f-4e71-ab1a-f7890520210b","order_by":0,"name":"Johanna Müller","email":"","orcid":"","institution":"Chemnitz University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Johanna","middleName":"","lastName":"Müller","suffix":""},{"id":522357210,"identity":"89785d22-60ee-4ddc-8989-315a39f5b41f","order_by":1,"name":"Hendrik Jahns","email":"","orcid":"","institution":"Technische Universität 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