Impact of CATIA-Based Parametric Design on Variant Management in Bus Interiors

Impact of CATIA-Based Parametric Design on Variant Management in Bus Interiors | 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 Impact of CATIA-Based Parametric Design on Variant Management in Bus Interiors Ismail Akar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9092796/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper presents a CATIA-based approach for managing seat layout (2+2 → 2+1) and overhead service-set (Basic → Premium) transitions under a single parametric architecture. The architecture comprises two skeletons (SeatLayout_Skeleton and ServiceSet_Skeleton), a standardized Publications interface, Excel Design Table-driven variants (pitches 750/720/950 mm; rows 10/12/8), Knowledgeware rules (min-max checks, alignment metric AlignmentDeviation_mm, user warnings), and UDF/PowerCopy attachment templates. In the case study, changes in seat pitch and row count automatically synchronize the service-set modules, while DMU validation reports alignment and clash results. Across three representative variants (750/10, 720/12, and 950/8), the proposed workflow reduced engineering update time by 80% compared with the conventional method. DMU analysis detected zero Seat–Seat and Seat–Service clashes, while alignment deviations remained within the predefined engineering targets, with average values of 0.4–0.6 mm and maximum values of 1.2–1.5 mm. The framework is reusable, scalable, and auditable. In addition, the study contributes to Knowledge-Based Engineering (KBE) research by proposing a dual-skeleton interface architecture that improves model stability and variant synchronization in complex CAD assemblies. Computer Architecture and Engineering Parametric design Variant management Bus interiors CATIA Knowledge-based engineering (KBE) Digital mock-up (DMU) Product Lifecycle Management (PLM) Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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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