An Ashby-like Database for Volumetric Energy Density in Additive Manufacturing Across Various Material Classes

An Ashby-like Database for Volumetric Energy Density in Additive Manufacturing Across Various Material Classes | 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 Systematic Review An Ashby-like Database for Volumetric Energy Density in Additive Manufacturing Across Various Material Classes Jaydeep Saha, Peter C. Collins This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9150466/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 (AM) processes transform the world of materials science and manufacturing engineering through their unique capabilities. Several processing parameters are involved in any AM processes. These parameters continuously influence microstructural development and the mechanical properties of the materials. Among these processing parameters, four critical parameters – laser power, scanning speed, hatch spacing, and layer thickness - directly affect the materials’ properties. While these properties are combined, a new and distinct processing parameter has emerged – Volumetric Energy Density (VED). Variation of the VED led to microstructural changes, influencing the mechanical properties of the materials. Different material classes possess distinct sets of VED, which enabled the preparation of an Ashby-like graphical representation. Based on that representation, any researcher or industrialist will understand the processing parameters, including the energy input (VED). This parameter is expressed as a function of the melting temperatures of the material. This provides the range of VED over a range of melting temperatures for any material class, similar to the other Ashby-like diagrams, like Young’s modulus or the strength of the materials as a function of density. However, this energy input is highly material-specific and cannot reveal critical defects associated with AM processes. However, this VED model, with a large database, could be beneficial for predicting the appropriate working range. In this review article, we discussed several aspects of this critical processing parameter, VED, and its effects on different materials across various material classes. Materials Engineering Additive Manufacturing Volumetric Energy Density Material Classes Ashby-like Diagrams Microstructure and Properties 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. 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-9150466","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Systematic Review","associatedPublications":[],"authors":[{"id":607713427,"identity":"b95657a3-83cd-4b09-93eb-98a95ed0797e","order_by":0,"name":"Jaydeep Saha","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/0lEQVRIiWNgGAWjYBACxgYGBgkgnQDhVgAxM3MDKVrOgLQw4tcCAggtjG0wY/AA5vYzhrcL/tjl8TdwJ3/4OK82mr8dqOVHxTbcDuvJMbae2ZZcLHGAd5vkzG3Hc2ccZmxg7DlzG49fcsykeRuYExuAWph5tx3LbQBqYWZsw6Ol/42ZNM+f+sT5B3g3f/4751jufIJaZgBt4WE7nLjhAO8GacaGmtwNhLU8Kwb65XjixsNAv/QcO5C7EajlID6/GPYnbwSGWHXivOO9mz/8qKnLnXf+8MEHPyrwaGngMGAGsyDkYTB5AKd6IJBnYH/AjMSvw6d4FIyCUTAKRigAAPszYGFvUkGSAAAAAElFTkSuQmCC","orcid":"","institution":"Iowa State University, USA","correspondingAuthor":true,"prefix":"","firstName":"Jaydeep","middleName":"","lastName":"Saha","suffix":""},{"id":607713437,"identity":"7feaae5b-319c-4d0a-be58-c3fb6fc835be","order_by":1,"name":"Peter C. 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