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Shawn H. Chen, Amanda J. Souna, Christopher L. Soles, Stephan J. Stranick, Edwin P. Chan
The dynamic impact between a particle and a planar material is important in many high impact events, andthereisagrowingneedtocharacterizethemechanicalpropertiesoflight-weightpolymeric materials at dynamic loading conditions. Here, a laser-induced
Iman Mehdipour, Hakan Atahan, Narayanan Neithalath, Mathieu Bauchy, Edward Garboczi, Gaurav Sant
The remarkable increase in the flow resistance of dense suspensions (jamming) can hinder 3D- printing processes on account of flow cessation and filament fragility/rupture in the extruder. Understanding the nature of rheological changes that occur is
The microstructures or additively manufactured (AM) precipitation-hardenable stainless steels 17-4 and 15-5 were investigated and compared to conventionally produced material. The residual nitrogen found in N2-atomized 17-4 powder feedstock is inherited by
Mark R. Stoudt, Maureen E. Williams, Lyle E. Levine, Adam Abel Creuziger, Sandra A. Young, Jarred C. Heigel, Brandon Lane, Thien Q. Phan
Additive manufacturing (AM) of metals creates segregated microstructures with significant differences from those of traditional wrought alloys. Understanding how the local build conditions generate specific microstructures is essential for developing post
David C. Deisenroth, Sergey Mekhontsev, Brandon M. Lane
Laser powder bed fusion processes are driven by scanned, focused laser beams. Along with selectively melting the metal powder, laser energy may be converted and transferred through physical mechanisms such as reflection from the metal surface, heat
Cheng Luo, Xiang Wang, Kalman D. Migler, Jonathan Seppala
In this work, we develop a simple model to determine the upper bound of feed rates that do not cause jamming in materials extrusion based additive manufacturing, also known as fused deposition modeling (FDM) or fused-filament fabrication (FFF). We first
Arvind Shankar Raman, Karl Haapala, Kamyar Raoufi, Barbara S. Linke, William Z. Bernstein, KC Morris
Over the past century, research has focused on continuously improving the performance of manufacturing processes and systems - often measured in terms of cost, quality, productivity, and material and energy efficiency. With the advent of smart
This work provides results and analysis of the in situ thermal measurement acquired during the 3D builds performed for the 2018 Additive Manufacturing Benchmark Tests. The objective is to provide context for post process characterization of distortion
Lyle E. Levine, Brandon M. Lane, Jarred C. Heigel, Kalman D. Migler, Mark R. Stoudt, Thien Q. Phan, Richard E. Ricker, Maria Strantza, Michael R. Hill, Fan Zhang, Jonathan E. Seppala, Edward J. Garboczi, Erich D. Bain, Daniel Cole, Andrew J. Allen, Jason C. Fox, Carelyn E. Campbell
The Additive Manufacturing Benchmark Test Series (AM-Bench) was established to provide rigorous measurement test data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM-Bench includes
Eduardo M. Trejo, Xavier Jimenez, Kazi M. Billah, Jonathan Seppala, Ryan Wicker, David Esplain
In large area pellet extrusion additive manufacturing, the temperature of the substrate just before the deposition of a new subsequent layer affects the overall structure of the part. Warping and cracking occur if the substrate temperature is below a
Brandon M. Lane, Jarred C. Heigel, Richard E. Ricker, Ivan Zhirnov, Vladimir Khromchenko, Jordan S. Weaver, Thien Q. Phan, Mark R. Stoudt, Sergey Mekhontsev, Lyle E. Levine
The complex physical nature of the laser powder bed fusion (LPBF) process warrants use of multiphysics computational simulations to predict or design optimal operating parameters or resultant part qualities such as microstructure or defect concentration
Tugrul Ozel, Ayca Altay, Bilgin Kaftanoglu, Richard Leach, Alkan Donmez
The powder bed fusion based additive manufacturing process uses a laser to melt and fuse powder metal material together and creates parts with intricate surface topography that are often influenced by laser path, layer-to-layer scanning strategies, and
Jake T. Benzing, Li-Anne Liew, Nikolas W. Hrabe, Frank W. DelRio
The commercialization of additive manufacturing (AM) is underway in the aerospace and biomedical device industries [1, 2]. However, most metal parts produced by AM are limited to non-critical applications, since the various processes produce internal
Jarred C. Heigel, Brandon M. Lane, Lyle Levine, Thien Q. Phan, Justin G. Whiting
This document provides details on the files available for download in the data set "In situ thermography of the metal bridge structures fabricated for the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench 2018)." The experiments were performed to
Tremendous effort has been dedicated to computational models and simulations of Additive Manufacturing (AM) processes to better understand process complexities and better realize high-quality parts. However, understanding whether a model is an acceptable
Ivan Zhirnov, Sergey Mekhontsev, Brandon Lane, Steven Grantham
Thermography and high-speed imaging are useful tools for researching the additive manufacturing laser powder bed fusion (LPBF) process by providing transient, spatial, and thermal information in and around the melt pool. However, it is not directly
Brian Simonds, Edward Garboczi, Todd A. Palmer, Paul Williams
The increased deployment and development of additive manufacturing (AM) has made it imperative to understand the interaction between a focused laser beam and a metal powder bed. The AM process is inherently dynamic meaning that the interaction must be
Hyunseop Park, Hyunwoong Ko, Yung-Tsun T. Lee, Hyunbo Cho, Paul W. Witherell
Many industries, including manufacturing, are adopting data analytics (DA) in making decisions to improve quality, cost, and on-time delivery. In recent years, more research and development efforts have applied DA to additive manufacturing (AM) decision
Felix Kim, Adam L. Pintar, Shawn P. Moylan, Edward Garboczi
X-ray computed tomography (XCT) is a promising non-destructive evaluation technique for additively manufactured (AM) parts with complex shapes. Industrial XCT scanning is a relatively new development, and XCT has several acquisition parameters a user can
The particle size and shape distributions ofmetal powders used in additive manufacturing powder bed fusion processes are of technological importance for the final built product. Current three- dimensional (3D) measurements of these distributions always
Measuring the size distribution of the particles in a powder is a common activity in science and industry. Measuring the shape distribution of the particles is much less common. However, the shape and size of powder particles are not independent quantities
This document provides details on the files available in the dataset "20180708-HY-3D Scan Strategies" pertaining to a 3D additive manufacturing build performed on the Additive Manufacturing Metrology Testbed (AMMT)by Ho Yeung on July 8, 2018. The files
Increasingly, a wide range of in-situ sensors are being instrumented on additive manufacturing (AM) machines. Researchers and manufacturers use these sensors to collect a variety of data to monitor process performance and part quality. The amount and speed
Darren Pagan, Thien Q. Phan, Jordan Weaver, Austin Benson, Armand Beaudoin
The unsupervised learning technique, locally linear embedding (LLE), is applied to the analysis of X-ray diffraction data measured in-situ during uniaxial plastic deformation of an additively manufactured nickel-based superalloy. With the aid of a physics
Richard E. Ricker, Jarred C. Heigel, Brandon M. Lane, Ivan Zhirnov, Lyle E. Levine
Additive manufacturing (AM) combines all of the complexities of materials processing and manufacturing into a single process. The digital revolution made this combination possible, but the commercial viability of these technologies for critical parts may