An Analytical Study on Computed Tomography-based Volumetric Additive Manufacturing: Resin Properties and Part Size Interrelationship- Part I

An Analytical Study on Computed Tomography-based Volumetric Additive Manufacturing: Resin Properties and Part Size Interrelationship- Part I | 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 Analytical Study on Computed Tomography-based Volumetric Additive Manufacturing: Resin Properties and Part Size Interrelationship- Part I Amir H. Behravesh, Asra Tariq, John Buni, Ghaus Rizvi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5467009/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 study presents an analytical description of the computed tomography-based volumetric additive manufacturing (VAM) process with an emphasis on the impact of resin properties on product dimensions. The main issue addressed in this study is the assessment of the dimensional limitation of the objects produced using the VAM process, which is usually reported to be of the order of one centimeter. An analytical model is introduced to predict the product size based on the resin property (penetration depth -D p ), vial size (radius), and the duration of part formation; and the results indicate significant correlations among these parameters. A method of D p measurement and analysis is also introduced that is appropriate for the VAM process. Mathematical justification is provided along with experimental verification, for the effects of the main governing factor, D p , on the maximum possible product size. Multiple criteria are also introduced for selecting the appropriate size of resin container (vial) based on the desired object size and the value of D p . It was found that the D p is a crucial factor in analysis and experimentation in the VAM process and its value is fundamentally different from the one obtained in the conventional polymerization AM methods. The product dimension based on resin property, vial size and time for the formation of part is introduced by analytical model. This model provides valuable insights into the complex interplay of factors influencing VAM outcomes and can facilitate informed decision-making in material selection and process design. Additive manufacturing VAM computed tomographic resin penetration depth critical exposure mathematical analysis Full Text 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. 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-5467009","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":381510491,"identity":"2a3b2172-779f-4fa0-a3cf-b377f9952162","order_by":0,"name":"Amir H. 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The main issue addressed in this study is the assessment of the dimensional limitation of the objects produced using the VAM process, which is usually reported to be of the order of one centimeter. An analytical model is introduced to predict the product size based on the resin property (penetration depth -D\u003csub\u003ep\u003c/sub\u003e), vial size (radius), and the duration of part formation; and the results indicate significant correlations among these parameters. A method of D\u003csub\u003ep\u003c/sub\u003e measurement and analysis is also introduced that is appropriate for the VAM process. Mathematical justification is provided along with experimental verification, for the effects of the main governing factor, D\u003csub\u003ep\u003c/sub\u003e, on the maximum possible product size. Multiple criteria are also introduced for selecting the appropriate size of resin container (vial) based on the desired object size and the value of D\u003csub\u003ep\u003c/sub\u003e. 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