Automatic trajectory generation for metal surface droplet coloring

Automatic trajectory generation for metal surface droplet coloring | 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 Automatic trajectory generation for metal surface droplet coloring Shiquan Shen, KUN REN, Mingjie Fu, Mingming Yang, Yaoting Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2320117/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 Jul, 2023 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract In this study, an automatic trajectory-generation algorithm is proposed to achieve uniform droplet coloring on the metal surfaces. First, by taking into account key parameters such as contact angle, surface tension, and droplet mass, the coloring technology was analyzed, and the size of a droplet was estimated. Then, the zones of the same color as those in the color reference pattern image were extracted and grouped by pixel searching. Zone erosion and pixel points-sorting algorithms were used to select trajectory points successively. Subsequently, nonuniform rational B-splines (NURBS) curves were used to interpolate the sorted trajectory points and generate G 1 continuous curves. Finally, the continuous curves were discretized, and coloring trajectories were generated. Experimental results showed that the proposed algorithm achieved automatic color block extraction, arbitrary trajectory generation, and uniform surface coloring. Metal surface coloring color zone extraction trajectory point sorting NURBS curve interpolation trajectory generation Full Text Supplementary Files Video.mp4 Video12.mp4 Cite Share Download PDF Status: Published Journal Publication published 05 Jul, 2023 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Major Revisions Needed 12 Mar, 2023 Reviewers agreed at journal 01 Dec, 2022 Reviewers invited by journal 01 Dec, 2022 Editor assigned by journal 28 Nov, 2022 First submitted to journal 28 Nov, 2022 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. 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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-2320117","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":156629599,"identity":"96300d64-4aa6-47fe-a5af-259b3c3720b1","order_by":0,"name":"Shiquan Shen","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Shiquan","middleName":"","lastName":"Shen","suffix":""},{"id":156629600,"identity":"816ec88c-4674-4e51-be37-f275e86e52bc","order_by":1,"name":"KUN 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