Laser Scanning-Based Parameter Extraction for Ship Butt Weld Joints

Laser Scanning-Based Parameter Extraction for Ship Butt Weld Joints | 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 Laser Scanning-Based Parameter Extraction for Ship Butt Weld Joints Yi Shen, Sheng Zhang, Tao Ma, Yuanchao Lin, Lijia Tao, Mingxin Yuan This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9257406/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 To address the need for efficient and high-precision extraction of geometric parameters for three types of ship butt welds (I-groove, X-groove, and K-groove), an automatic weld parameter extraction algorithm based on laser scanning is proposed. First, point cloud surface separation is achieved through DBSCAN density clustering for I-groove welds and point cloud normal vector method for X-groove and K-groove welds. Subsequently, a universal parameter extraction module is constructed, incorporating a robust plate thickness calculation method and an adaptive groove angle extraction strategy. Finally, specialized parameter extraction strategies are designed according to the geometric characteristics of each weld type, forming a unified processing framework for multiple types of butt welds. Experimental results demonstrate that the mean absolute errors (MAE) for plate thickness and root gap of I-groove welds are 0.66 mm and 0.58 mm, respectively; the MAE for groove angles of X-groove and K-groove welds is maintained within 4°, while MAE for other parameters is controlled within 1 mm. Comparative experiments show that the proposed algorithm achieves superior measurement accuracy across all three weld types compared to traditional algorithms, with an 81.8% improvement over the slope analysis method, a 73.9% improvement over the height transition feature method, and an overall average accuracy improvement of approximately 77.9%. ship welding laser point cloud butt weld joints weld parameter extraction normal vector separation Full Text 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-9257406","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":619437009,"identity":"b14690ed-30db-4767-b01c-7f7fdaf4339d","order_by":0,"name":"Yi 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First, point cloud surface separation is achieved through DBSCAN density clustering for I-groove welds and point cloud normal vector method for X-groove and K-groove welds. Subsequently, a universal parameter extraction module is constructed, incorporating a robust plate thickness calculation method and an adaptive groove angle extraction strategy. Finally, specialized parameter extraction strategies are designed according to the geometric characteristics of each weld type, forming a unified processing framework for multiple types of butt welds. Experimental results demonstrate that the mean absolute errors (MAE) for plate thickness and root gap of I-groove welds are 0.66 mm and 0.58 mm, respectively; the MAE for groove angles of X-groove and K-groove welds is maintained within 4\u0026deg;, while MAE for other parameters is controlled within 1 mm. 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