Research on the construction and fidelity evaluation of digital twins for CNC machine tools

Research on the construction and fidelity evaluation of digital twins for CNC machine tools | 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 Research on the construction and fidelity evaluation of digital twins for CNC machine tools Xiaogang Zhang, Wei Chen, Jian Li, Zhongyuan Zhao, Zhenkun Yin, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4630197/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 22 Sep, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract Performance evaluation of computer numerical control (CNC) machine tools is challenging due to high costs, experimental difficulties, and data scarcity. Digital twin technology can effectively address this issue through interactions between the physical and virtual environments. An executable high-fidelity digital twin is the foundation for utilizing digital twin technology in performance evaluation. Current research rarely focuses on the simplification methods and fidelity evaluation of CNC machine tool digital twins. Therefore, this paper proposes a novel digital twin construction methodology and introduces fidelity evaluation metrics based on the three-layer division of meta-action theory. Additionally, a multi-indicator weight allocation method is presented for the quantitative analysis of model updates and iterations. Firstly, CNC machine tools are divided into three layers: system level, chain level, and unit level based on meta-action theory. The digital twin architecture comprises the physical entity, information assurance layer, virtual entity, and functional application layer. Furthermore, a multi-level assessment framework is established, incorporating general indicators, system-level indicators, and unit-level indicators. To facilitate a qualitative and quantitative evaluation of the digital twins, the analytic hierarchy process and entropy weighting method are employed for weight allocation. This proposed approach simplifies the construction of digital twins and provides robust evaluation methods for their enhancement. The effectiveness of the proposed methodology is validated through a case study on the axial stiffness performance testing of a specific CNC machine tool rotary table model. CNC machine tools Digital twins Fidelity evaluation Meta-action Full Text Cite Share Download PDF Status: Published Journal Publication published 22 Sep, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Major Revisions Needed 25 Apr, 2025 Reviewers agreed at journal 03 Jul, 2024 Reviewers invited by journal 02 Jul, 2024 Editor assigned by journal 25 Jun, 2024 First submitted to journal 24 Jun, 2024 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-4630197","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":321889585,"identity":"3e706f99-f282-4049-bc81-7e19aec6386f","order_by":0,"name":"Xiaogang Zhang","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Xiaogang","middleName":"","lastName":"Zhang","suffix":""},{"id":321889586,"identity":"63045708-af04-4e3d-88db-0e7c8c4c40b9","order_by":1,"name":"Wei 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