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Outcomes and Conclusions from the 2018 AM-Bench Measurements, Challenge Problems, Modeling Submissions, and Conference

February 13, 2020

Author(s)

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

Compressive deformation analysis of large area pellet-fed material extrusion 3D printed parts in relation to in situ thermal imaging*

February 8, 2020

Author(s)

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

Measurements of Melt Pool Geometry and Cooling Rates of Individual Laser Traces on IN625 Bare Plates

February 5, 2020

Author(s)

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

Focus variation measurement and prediction of surface texture parameters using machine learning in laser powder bed fusion

January 31, 2020

Author(s)

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

Tracking defects and microstructural heterogeneities in meso-scale tensile specimens excised from additively manufactured parts

January 31, 2020

Author(s)

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

Thermography of the Metal Bridge Structures Fabricated for the 2018 Additive Manufacturing Benchmark Test Series (AM-Bench 2018)

January 30, 2020

Author(s)

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

On Characterizing Uncertainty Sources in Laser Powder Bed Fusion Additive Manufacturing Models

January 21, 2020

Author(s)

Tesfaye M. Moges, Paul W. Witherell, Gaurav Ameta

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

Accurate Determination of Laser Spot Position during Laser Powder Bed Fusion Process Thermography

January 1, 2020

Author(s)

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

Dynamic laser absorptance measured in a geometrically characterized stainless steel powder

December 22, 2019

Author(s)

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

A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing

December 9, 2019

Author(s)

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

The Influence of X-Ray Computed Tomography Acquisition Parameters on Image Quality and Probability of Detection of Additive Manufacturing Defects

November 28, 2019

Author(s)

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

Particle shape and size analysis for metal powders used for additive manufacturing: Technique description and application to a gas-atomized Ti64 powder and a plasma-atomized Ti64 powder

November 23, 2019

Author(s)

Edward Garboczi, Nik Hrabe

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

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powder

November 23, 2019

Author(s)

Edward Garboczi, Nik Hrabe

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

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