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Additive manufacturing, or 3D printing, is quickly becoming a widespread manufacturing method offering timely and cost-effective build times for unique part geometries with an increasing range of material offerings. One unique use for additive
Newell Moser, Jake Benzing, Orion Kafka, Jordan Weaver, Nicholas Derimow, Ross Rentz, Nik Hrabe
The additive manufacturing benchmarking challenge described in this work was aimed at the prediction of average stress–strain properties for tensile specimens that were excised from blocks of non-heat-treated IN625 manufactured by laser powder bed fusion
Runbo Jiang, John Smith, Yu-Tsen Yi, Tao Sun, Brian Simonds, Anthony D. Rollett
The quantification of the amount of absorbed light is essential for understanding laser-material interactions and melt pool dynamics in order to minimize defects in additive manufactured metal components. The geometry of a vapor depression, also known as a
Justin Whiting, Eric Whitenton, Aniruddha Das, Vipin Tondare, Jason Fox, Michael McGlauflin, Alkan Donmez, Shawn P. Moylan
The spreading of powder is an integral part of powder bed fusion-based additive manufacturing technologies; however, due to the complex nature and the number of interactions between particles, studying the powder spreading process is difficult. In order to
Manufacturing industries are increasingly adopting additive manufacturing (AM) technologies to produce functional parts in critical systems. However, the inherent complexity of both AM designs and AM processes render them attractive targets for cyber
Fahad Milaat, Paul Witherell, Ho Yeung, Martin Hardwick
Traditionally, inspection and geometric dimensioning and tolerancing (GD&T) are deployed at the macroscale, where complete parts are tested to meet geometric and functional requirements. The additive manufacturing (AM) process is unique in that it is a
Dilip K. Banerjee, Supriyo Ghosh, Julien Zollinger, Miha Zaloznik, Christopher Newman, Raymundo Arroyave
Metal-based additive manufacturing (AM) processes often produce parts with improved properties compared to conventional manufacturing and metal working routes. However, currently, only a few alloys can be reliably additively manufactured as the vast
Jake Benzing, Nicholas Derimow, Orion Kafka, Nik Hrabe, Philipp Schumacher, Don Godfrey, Chad Beamer, Priya Pathare, Jay Carroll, Ping Lu, Isaiah Trujillo, Frank DelRio
This study simplified the heat treatment route and reduced the post-processing burden for laser powder bed fusion IN718 (a nickel-based superalloy). The tailored route retained advantageous microstructures and improved tensile strength when compared to the
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