Matrix Preselection Based on Differential Scanning Calorimetry (DSC) for Newly Developed Epoxy Resins-based Multilayer Composites - Material Analysis

Matrix Preselection Based on Differential Scanning Calorimetry (DSC) for Newly Developed Epoxy Resins-based Multilayer Composites - Material 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 Matrix Preselection Based on Differential Scanning Calorimetry (DSC) for Newly Developed Epoxy Resins-based Multilayer Composites - Material Analysis Agnieszka J. Nowak, Sylwia Waśkiewicz, Karolina Szymczyk, Mariusz Król, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8000691/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 describes a new method for preselecting the duroplastic matrix of multilayer composite materials based on differential scanning calorimetry (DSC), leading to improved composite production by reducing costs and material and time losses associated with the manufacture and testing of multiple sample populations. In this work, systems of proprietary matrix compositions based on Epidian 5 or Epidian 6 were tested and compared with the properties of commercial matrix systems Epidian 601 and Epidian 652, which are ready-made mixtures with active diluents. For each system, the activation energy, heat of cure reaction, degree of cure, and glass transition temperature were determined by differential scanning calorimetry. The results obtained were related to the determined mechanical properties (impact strength, Young's modulus, and bending strength) of the glass-fabric-reinforced laminates. The obtained results correlate with the preselection of matrix compositions based on thermal analyses, which directly translates into the applicability of the method DSC presented in the article. The selected best matrix systems were also differentiated by reinforcing phase, carbon fabric, and aramid fabric, with different weaves used. polymer matrix laminates epoxy resins differential scanning calorimetry (DSC) 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. 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-8000691","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":581997691,"identity":"bee1c895-7d8a-4e87-8ea2-ab08435ad6a8","order_by":0,"name":"Agnieszka J. 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