An assembly position simulation method for aircraft virtual assembly analysis

An assembly position simulation method for aircraft virtual assembly analysis | 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 An assembly position simulation method for aircraft virtual assembly analysis Shuchun Wang, Yun Peng, Zheming Ma, Guoyi Hou, shuanggao Li, Xiang Huang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4592624/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 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 The new generation of aircraft has put forward higher requirements for assembly quality and assembly efficiency. The traditional on-site "test-fit-repair-fit" method is highly dependent on manual labor, and there are problems of low assembly quality and assembly efficiency; on the other hand, the virtual assembly simulation technology based on the theoretical model has problems such as "imitation but not true". On the other hand, the virtual assembly simulation technology based on theoretical model has the problem of "imitation but not real". Therefore, this paper proposes an assembly position simulation method based on the virtual assembly analysis technology based on the measured model. Firstly, a feature reconstruction method based on NURBS algorithm is introduced to reconstruct the aircraft assembly features with high accuracy; secondly, Monte Carlo method is used to sample the assembly position of the parts for simulation, and the uncertainty model of the monitoring feature position is constructed. Finally, the feasibility of the method is verified by designing and manufacturing test pieces, which proves the real effectiveness of the feature reconstruction algorithm and the assembly simulation method. Aircraft assembly Characteristic reconstruction Virtual Assembly Simulation Uncer- tainty modeling Full Text Cite Share Download PDF Status: Published Journal Publication published 03 Sep, 2025 Read the published version in The International Journal of Advanced Manufacturing Technology → Version 1 posted Editorial decision: Major Revisions Needed 24 Jan, 2025 Reviewers agreed at journal 23 Jun, 2024 Reviewers invited by journal 22 Jun, 2024 Editor assigned by journal 19 Jun, 2024 First submitted to journal 16 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. 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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-4592624","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":317766140,"identity":"44b93086-14fc-4676-9e85-9a0de199cbe4","order_by":0,"name":"Shuchun 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