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Levi Moore, Van Michael Saludo, Oliver Grasdal, Kayleen Smith, Thomas Kolibaba, Jason Killgore, Jacob Marcischak, Jeremy Snyder, Gregory Yandek, Kamran Ghiassi
Thiol-ene click chemistry was utilized to crosslink unmodified commercial liquid polybutadiene, and complex geometries were printed using vat photopolymerization. Polybutadiene contains reactive moieties as a result of its production process, and were used
One of the primary barriers for adoption of additive manufacturing (AM) had been the uncertainty in the performance of AM parts due to residual stresses/strains. The rapid melting and solidification which occurs during AM processes result in high residual
Felix Kim, Adam L. Pintar, John Henry J. Scott, Edward Garboczi
A framework to generate simulated X-ray computed tomography (XCT) data of ground truth flaws was developed for evaluation of flaw detection algorithms. The simulated flaw structure gives a ground truth data set with which to quantitatively evaluate, by
Matthew Sato, Vivian W.H. Wong, Paul Witherell, Ho Yeung, Kincho Law
Laser powder bed fusion (LPBF) is a popular additive manufacturing process with many advantages compared to traditional (subtractive) manufacturing. However, assuring the quality of LPBF parts remains a challenge in the manufacturing industry. This work
Digital twin for additive manufacturing (AM) has drawn much research attention recently, thanks to the advancement in artificial intelligence and machine learning. Machine learning takes the process and measurement data from the manufacturing process to
Jesse Redford, Jason Fox, Christopher Evans, brigid mullany
This work introduces a center-line-time function (CLTF) to characterize common scan strategies used in laser powder bed fusion (LPBF) that result in melt pool distortion. Eight rapid turnaround (RTR) samples, manufactured from nickel super alloy 625 using
Alain Bernard, Jean-Pierre Kruth, Jian Cao, Gisela Lanza, Stefania Bruschi, Marion Merklein, Tom Vaneker, Michael Schmidt, John Sutherland, Alkan Donmez, Eraldo da Silva
Additive Manufacturing (AM) is one of the disruptive technologies to fabricate components, parts, assemblies or tools in various fields of application due to its main characteristics such as direct digital manufacturing, ability to offer both internal and
This additive manufacturing benchmarking challenge asked the modeling community to predict the stress–strain behavior and fracture location and pathway of an individual mesoscale (gauge dimensions of approximately 200 µm thickness, 200 µm width, 1 mm
High power lasers are at the core of metal additive manufacturing (AM) systems and the accurate delivery of laser energy is critical to part performance. We have performed a round robin style survey of U.S. AM equipment across industry, academia, and
Orion Kafka, Jake Benzing, Nicholas Derimow, Philipp Schumacher, Lucas Koepke, Chad Beamer, Donald Godfrey, Nik Hrabe
High cycle fatigue life of laser-powder bed fusion (L-PBF) parts depends on several factors; as-built surfaces, when present, are a particular concern. This work measures as-built L-PBF surfaces with X-ray computed tomography, and uses rotating beam
Qualification of additive manufacturing (AM) parts requires exploring the process-structure-property relationships for a large number of process variables and unique macro/microstructure features associated with AM processes. This investigation explores
Aniruddha Das, Jordan Weaver, Jared Tarr, Shawn P. Moylan
A powder capture capsule has been designed to capture thin regions of powder at multiple heights within a powder bed of laser powder bed fusion (LPBF) equipment. This design is stackable, support free, and allows powder capture from a targeted region
Melt-pool-monitoring, layer-wise-imaging, microstructure-analysis, and mechanical-property test data are becoming increasingly available during the additive manufacturing (AM) fabrication process. These data along with data analytics tools are becoming
Jason Fox, Christopher Evans, Jordan Weaver, Jesse Redford
The complexity and vast number of influencing variables in laser powder bed fusion (LPBF) have hindered the development of correlations between surface topography and part performance or process variables. To address this, the melt pool behavior in regions
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
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
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
Austin Colon, David Kazmer, Amy Peterson, Jonathan Seppala
Purpose One of the main causes of defects within material extrusion additive manufacturing is the non-isothermal condition in the hot end, which leads to inconsistent extrusion and weld healing. This work validates a custom hot end design intended to melt
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
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 (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
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
Part quality in additive manufacturing (AM) is highly dependent on process control, but there is a lack of adequate AM control methods and standards. In particular, a standard programing language (such as G-code/M-code for traditional machine tools) is not
This document provides details on the files available in the dataset "In situ thermographic measurements of single line scans performed for the Additive Manufacturing Benchmark Test Series (AM-Bench 2018)." These measurements are performed as part of the