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Search Publications

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Displaying 26 - 50 of 317

A Data-Driven Approach to Complex Voxel Predictions in Grayscale Digital Light Processing Additive Manufacturing Using U-nets and Generative Adversarial Networks

July 6, 2023
Author(s)
Jason Killgore, Thomas Kolibaba, Benjamin Caplins, Callie Higgins, Jake Rezac
Machine learning models such as U-nets like the pix2pix conditional generative adversarial network (cGAN) are shown to predict 3D printed voxel geometry in digital light processing (DLP) additive manufacturing. The models are trained on microscopic voxel

Characterization of Die-Swell in Thermoplastic Material Extrusion

July 5, 2023
Author(s)
Austin Colon, David Kazmer, Amy Peterson, Jonathan Seppala
Die-swell is a flow effect that occurs in polymer extrusion whereby the material experiences rapid stress and dimensional changes upon exiting the nozzle orifice. Material extrusion additive manufacturing is no exception, and this effect influences the

High-resolution Melt Pool Thermal Imaging for Metals Additive Manufacturing Using the Two-color Method with a Single Color Camera

July 5, 2023
Author(s)
Alexander Myers, Guadalupe Quirarte, Francis Ogoke, Brandon Lane, Syed Uddin, Amir Barati Farimani, Jack Beuth, Jonathan Malen
We introduce an experimental method to image melt pool temperature with a single commercial color camera and compare the results with multi-physics computational fluid dynamic (CFD) models. This approach leverages the principle of two-color (i.e

Influence of Fluorescent Dopants on the Vat Photopolymerization of Acrylate-based Plastic Scintillators

July 3, 2023
Author(s)
Thomas Kolibaba, Jason Killgore, Caleb Chandler, Dominique Porcincula, Michael Ford, Benjamin Fein-Ashley, Jason Brodsky, Alan Sellinger
Plastic scintillators, a class of solid-state materials used for radiation detection, were additively manufactured with vat photopolymerization. The photopolymer resins consisted of a primary dopant and a secondary dopant dissolved in a bisphenol A

Additive Manufacturing Data and Metadata Acquisition-General Practice

June 30, 2023
Author(s)
Yan Lu, Ho Yeung, Jason Fox, Felix Kim, Luke Mohr
Increasingly, a vast variety of additive manufacturing (AM) datasets are generated through AM development lifecycles. The amount, type, and speed of the collected data are unprecedented. The datasets are created and collected for material development

Additive Manufacturing Data Integration and Recommended Practice

June 30, 2023
Author(s)
Yan Lu, Milica Perisic, Albert T. Jones
Additive manufacturing (AM) creates parts layer by layer directly from three-dimensional computer-aided design data. Building in layers allows the fabrication of complex geometric shapes as well as functionally graded materials. Despite the part-quality

Effect of austenite fraction and stability on strength-hardening-ductility in additively manufactured 17-4 PH stainless steel containing nitrogen

June 30, 2023
Author(s)
Saadi Habib, Steven P. Mates, Fan Zhang, Mark R. Stoudt, James Zuback, Olaf Borkiewicz
Additively-manufactured (AM) 17-4 precipitation-hardening (PH) martensitic stainless steel (SS) built from nitrogen-atomized powder often retains a large volume fraction of austenite. The retained austenite lowers the yield strength compared to both

DATA REQUIREMENTS FOR DIGITAL TWINS IN ADDITIVE MANUFACTURING

June 15, 2023
Author(s)
Shaw C. Feng, Albert T. Jones, Guodong Shao
The number and types of sensors used to monitor additive manufacturing (AM) processes and parts in real time are growing. The emerging digital twins (DTs) associated with the data collected by those sensors and the functions that use that data as inputs

Electrosteric control of the aggregation and yielding behavior of concentrated portlandite suspensions

June 13, 2023
Author(s)
Sharu Kandy, Mathieu Bauchy, Gaurav Sant, Aditya Kumar, Narayanan Neithalath, Samanvaya Srivastava, Torben Gaedt, Edward Garboczi
Portlandite (calcium hydroxide: CH: Ca(OH)2) suspensions aggregate spontaneously and form percolated fractal aggregate networks when dispersed in water. As a result, the yield stress and viscosity of portlandite suspensions diverge at low particle loadings

Pore Formation Driven by Particle Impact in Laser, Powder-blown Directed Energy Deposition

May 26, 2023
Author(s)
Edward Garboczi, Newell Moser, Samantha Webster, Kornel Ehmann, Jian Cao, Kamel Fezzaa, Tao Sun
Material manufactured by laser, powder-blown directed energy deposition often contains residual pores, which can be detrimental to the strength and fatigue life of a part. We uncover a new kind of pore formation that is driven by powder particle impact

High-throughput printing of combinatorial materials from aerosols

May 10, 2023
Author(s)
Minxiang Zeng, Yipu Du, Nicholas Kempf, Miles Bimrose, Jiahao Chen, Dylan Kirsch, Joshua B. Martin, Bowen Zhang, Tatsunori Hayashi, Mortaza Saeidi-Javash, Hirotaka Sakaue, Babak Anasori, Michael McMurtrey, Yanliang Zhang
The development of new materials and their compositional and microstructural optimization are essential in regard to next-generation technologies such as clean energy and environmental sustainability. However, materials discovery and optimization have been

Bearing area curve based partitioning for the verification of theoretical supplemental geometry on additively manufactured lattice structures

April 25, 2023
Author(s)
Maxwell R. Praniewicz, Jason Fox, Lucas Fournet-Fayard, Charles Cayron, Imade Koutiri, Anne-Francoise Obaton
The geometrical qualification of additively manufactured lattice structures has largely focused on the measurement of strut diameter, form variations, and surface texture. However, the exterior surfaces of the lattice structure, defined through theoretical
Displaying 26 - 50 of 317