Analysis of a High-Precision Dual-Axis Roller-Cam Turntable and Investigation of Intelligent Diagnostic Technologies

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Abstract The demand for high-precision multiaxis machining in aerospace and advanced manufacturing has increased. As a result, dual-axis roller-cam rotary tables have become critical for achieving accurate positioning and stable dynamic performance. This work developed a methodology that combined numerical modeling, physical testing, and data-driven health assessment into a single evaluation platform. The dynamic rigidity of the system was validated through complementary numerical simulations and experimental modal analysis. VDI3441-based accuracy testing demonstrated that indexing precision was 11.6″–19.8″ and repeatability was within 2.2″ across the C1, C2, and tilting axes. Tests performed at different speeds showed stable performance under low-speed operation (Pa ≈ 3.5). However, accuracy decreased at high speeds (Pa up to 9.2), with synchronization-induced error coupling between the dual C axes. A dual-axis intelligent monitoring system was implemented using principal component analysis and Gaussian mixture models. A classification accuracy of 93.5% was achieved (area under the receiver operating characteristic curve > 0.92), and the system outperformed fast-Fourier-transform-based and wavelet-based methods under varying load conditions. The proposed method exhibits reliable dynamic performance and the capability for real-time predictive health management, thereby enabling a transition toward intelligent, sustainable, and data-centric high-precision manufacturing systems.
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Analysis of a High-Precision Dual-Axis Roller-Cam Turntable and Investigation of Intelligent Diagnostic Technologies | 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 Analysis of a High-Precision Dual-Axis Roller-Cam Turntable and Investigation of Intelligent Diagnostic Technologies Tsai-Yuan Chung, Tzu-Chi Chan, Shinn-Liang Chang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8417040/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 22 Mar, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted 5 You are reading this latest preprint version Abstract The demand for high-precision multiaxis machining in aerospace and advanced manufacturing has increased. As a result, dual-axis roller-cam rotary tables have become critical for achieving accurate positioning and stable dynamic performance. This work developed a methodology that combined numerical modeling, physical testing, and data-driven health assessment into a single evaluation platform. The dynamic rigidity of the system was validated through complementary numerical simulations and experimental modal analysis. VDI3441-based accuracy testing demonstrated that indexing precision was 11.6″–19.8″ and repeatability was within 2.2″ across the C1, C2, and tilting axes. Tests performed at different speeds showed stable performance under low-speed operation (Pa ≈ 3.5). However, accuracy decreased at high speeds (Pa up to 9.2), with synchronization-induced error coupling between the dual C axes. A dual-axis intelligent monitoring system was implemented using principal component analysis and Gaussian mixture models. A classification accuracy of 93.5% was achieved (area under the receiver operating characteristic curve > 0.92), and the system outperformed fast-Fourier-transform-based and wavelet-based methods under varying load conditions. The proposed method exhibits reliable dynamic performance and the capability for real-time predictive health management, thereby enabling a transition toward intelligent, sustainable, and data-centric high-precision manufacturing systems. Dual-axis roller-cam turntable Finite element analysis (FEA) Experimental modal analysis (EMA) Positioning accuracy Principal component analysis (PCA) Intelligent diagnosis Full Text Cite Share Download PDF Status: Published Journal Publication published 22 Mar, 2026 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Minor Revisions Needed 01 Feb, 2026 Reviewers agreed at journal 24 Dec, 2025 Reviewers invited by journal 24 Dec, 2025 Editor assigned by journal 23 Dec, 2025 First submitted to journal 21 Dec, 2025 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. 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