Influence of process parameters and robot postures on surface quality in robotic machining

Influence of process parameters and robot postures on surface quality in robotic machining | 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 Influence of process parameters and robot postures on surface quality in robotic machining Peng Xu, Yinghao Gao, Xiling Yao, Ye Han Ng, Kui Liu, Guijun Bi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1712459/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract The use of industrial robots for machining large parts has attracted more and more attention. Previous studies have shown that ball-end milling is greatly affected by the process parameters. Besides, robotic machining is also affected by various posture-dependent robot performances. However, these two critical aspects are usually treated separately in many works for studying robotic machining. In this paper, a redundant robotic system consisting of a six-axis industrial robot, a two-axis positioner and a linear track was developed for machining. The combined effects of milling process parameters and robot postures on the machining results were experimentally investigated. Grey relational analysis-based multi-objective optimization was conducted for lower cutting force and better surface quality. A group of process parameters and robot posture was obtained as the optimal combination that generally yields the best milling performance. The results allow to preliminarily determine the main factors that affect the quality of robotic machining. Process parameters Robot posture Multi-objective optimization Grey relational analysis Robotic machining Full Text Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Minor Revisions Needed 16 Oct, 2022 Reviewers agreed at journal 03 Jun, 2022 Reviewers invited by journal 03 Jun, 2022 Editor assigned by journal 01 Jun, 2022 First submitted to journal 31 May, 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. 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-1712459","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":110920469,"identity":"60d54a27-edd5-473c-8cb3-e52b785b2a3c","order_by":0,"name":"Peng Xu","email":"","orcid":"","institution":"","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Xu","suffix":""},{"id":110920470,"identity":"ce1470b2-964d-428d-9d05-4c14a80e09d1","order_by":1,"name":"Yinghao 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