Quantification of fiber placement defects in additively manufactured objects embedded with carbon fibers | 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 Quantification of fiber placement defects in additively manufactured objects embedded with carbon fibers Archit Mundada, Vivek Khatua, G. K. Ananthasuresh This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8208470/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 Additive manufacturing of parts with embedded fibers in planar and spatial patterns has garnered interest due to its potential to enhance their performance. The recent development of spatial steering of fibers in situ with the solidification of the matrix, necessitates the characterization of the morphology of the embedded fibers in a printed part. This work develops methods that leverage image processing to improve the quality of carbon fiber-embedded parts made with vat photo-polymerization. We elucidate the choice and implementation of these metrics that can compare fiber tracks and rank them based on fiber placement characteristics specified by the user. These methods presented here can aid in identifying the ideal machine settings and compare different devices for their performance. Thus, as new devices capable of embedding carbon fiber tracks in additively manufactured parts come up, these metrics serve as a basis for quality optimization and control. Full Text Additional Declarations No competing interests reported. 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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