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Manufacturing

Additive manufacturing

Search Publications

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Displaying 51 - 75 of 388

Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges

May 7, 2024
Author(s)
Jordan Weaver, David Deisenroth, Sergey Mekhontsev, Brandon Lane, Lyle E. Levine, Ho Yeung
AM Bench is a NIST-led organization that provides a continuing series of additive manufacturing (AM) benchmark measurements, challenge problems, and conferences with the primary goal of enabling modelers to test their simulations against rigorous, highly

Benchmark Study of Melt Pool and Keyhole Dynamics, Laser Absorption, and Porosity in Additive Manufacturing of Ti-6Al-4V

April 29, 2024
Author(s)
Arash Samaei, Joseph Leonor, zhengtao gan, Zhongsheng Sang, Xiaoyu Xie, Brian Simonds, Wing Kam Liu, Gregory Wagner
Metal 3D printing involves a multitude of operational and material parameters that exhibit intricate interdependencies, which pose challenges to real-time process optimization, monitoring, and controlling. The dynamic behavior of the laser-induced melt

Evaluating Models That Predict Epoxy Conversion Using Rheological Properties

April 15, 2024
Author(s)
Stian Romberg, Paul Roberts, Chad R. Snyder, Anthony Kotula
Simultaneous rheology and conversion measurements of neat and composite epoxy resins reveal that conventional models neither accurately nor fully describe the relationship between rheology and conversion. We find that models predicting thermoset conversion

Online Measurement for Parameter Discovery in Fused Filament Fabrication

April 3, 2024
Author(s)
Jake Read, Jonathan Seppala, Filippos Tourlomousis, James Warren, Nicole Bakker, Neil Gershenfeld
Abstract To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying

Results of an Interlaboratory Study on the Working Curve in Vat Photopolymerization

March 18, 2024
Author(s)
Thomas Kolibaba, Jason Killgore, Benjamin Caplins, Callie Higgins, Uwe Arp, C Cameron Miller, Yuqin Zong, Dianne L. Poster
The working curve informs resin properties and print parameters for stereolithography, digital light processing, and other photopolymer additive manufacturing (PAM) technologies. First demonstrated in 1992, the working curve measurement of cure depth vs

The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

February 28, 2024
Author(s)
Connor V. Headley, Roberto J. Herrera del Valle, Ji Ma, Prasanna Balachandran, Vijayabarathi Ponnambalam, Saniya LeBlanc, Dylan Kirsch, Joshua B. Martin
Through the integration of machine learning (ML) techniques alongside additive manufacturing (AM) experimentation, we demonstrate an iterative process to rapidly predict laser-material interactions and melt pool geometries throughout the build parameter

Phase Composition and Phase Transformation of Additively Manufactured Nickel Alloy 718 AM Bench Artifacts

February 5, 2024
Author(s)
Fan Zhang, Aaron Johnston-Peck, Lyle E. Levine, Michael Katz, Kil-Won Moon, Maureen E. Williams, Sandra W. Young, Andrew J. Allen, Olaf Borkiewicz, Jan Ilavsky
Additive Manufacturing (AM) technologies offer unprecedented design flexibility but are limited by a lack of understanding of the material microstructure formed under their extreme and transient processing conditions and its subsequent transformation

Ability to simulate laser absorption and melt pool dynamics in solid aluminum: results and insights from the 2022 asynchronous AM-Bench challenge

February 1, 2024
Author(s)
Brian Simonds, Jack Tanner, Alexandra Artusio-Glimpse, Niranjan Parab, Cang Zhao, Tao Sun, Paul A. Williams
The 2022 Asynchronous AM-Bench challenge was designed to test the ability of simulations to accurately predict laser power absorption as well as various melt pool behaviors (width, depth, and solidification) during laser melting of solid metal during

AM Bench 2022 Macroscale Tensile Challenge at Different Orientations (CHAL-AMB2022-04-MaTTO) and Summary of Predictions

January 16, 2024
Author(s)
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

Deep learning approaches for time-resolved laser absorptivity prediction

January 5, 2024
Author(s)
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
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