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Publications

Search Publications by

Shawn P. Moylan (Fed)

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Displaying 1 - 25 of 65

A Comparison of Particle Size Distribution and Morphology Data acquired using Lab-based and Commercially Available Techniques: Application to Stainless Steel Powder

November 17, 2021
Author(s)
Justin Whiting, Edward Garboczi, Vipin Tondare, John Henry Scott, Alkan Donmez, Shawn P. Moylan
The particle size distribution (PSD) and particlemorphology ofmetal powders undoubtedly affects the quality of parts produced by additivemanufacturing (AM). It is, therefore, crucial to accurately knowthe PSD and morphology of these powders. There exist

Inert Gas Flow Speed Measurements in Laser Powder Bed Fusion Additive Manufacturing

October 19, 2021
Author(s)
Jordan Weaver, Alec Schlenoff, David Deisenroth, Shawn P. Moylan
Laser powder bed fusion (LPBF) is an additive manufacturing technology that uses a laser to selectively melt powder feedstock to build parts in a layer-by-layer process. For metals-based LBPF additive manufacturing, the interaction of the laser and powder

Investigation of the Effect of Artificial Internal Defects on the Tensile Behavior of Laser Powder Bed Fusion 17-4 Stainless Steel Samples: Simultaneous Tensile Testing and X-Ray Computed Tomography

October 5, 2021
Author(s)
Felix Kim, Shawn P. Moylan, Thien Q. Phan, Edward Garboczi
Insufficient data are available to fully understand the effects of metal additive manufacturing (AM) defects for widespread adoption of the emerging technology. Characterization of failure processes of complex internal geometries and defects in metal AM

Chapter 8: Machine Performance Evaluation

September 22, 2020
Author(s)
Shawn Moylan
Machine performance evaluation is vital for objectively demonstrating that a machine can meet specification, standards and quality management system, and for allowing users to make informed decisions on how to best use their resources. Although additive

Literature Review of Metal Additive Manufacturing Defects

May 17, 2018
Author(s)
Felix H. Kim, Shawn P. Moylan
Additive manufacturing (AM) is a revolutionary manufacturing technique, which is expected to reshape the future manufacturing industries. While various materials are used in AM, metal AM is expected to provide a high impact to the industries by producing

Thermographic Measurements of the Commercial Laser Powder Bed Fusion Process at NIST

December 5, 2016
Author(s)
Brandon M. Lane, Shawn P. Moylan, Eric P. Whitenton, Li Ma
Measurement of the high-temperature melt pool region in the laser powder bed fusion (L-PBF) process is a primary focus of researchers to further understand the dynamic physics of the heating, melting, adhesion, and cooling which define this commercially

Charter of the Institute Directors Council: Manufacturing USA

November 18, 2016
Author(s)
Craig Blue, Larry Brown, Yoel Fink, Nick Justice, Michael Liehr, Tom McDermott, Ed Morris, Shawn P. Moylan
The Manufacturing USA program is composed of the collective of all of the manufacturing innovation institutes and a supporting Network. The Network serves the Institutes, the Institutes connect through the Network, and the Program serves the Nation.

Measurement of powder bed density in powder bed fusion additive manufacturing processes

October 5, 2016
Author(s)
Gregor Jacob, M A. Donmez, Shawn P. Moylan, John A. Slotwinski
There are many factors influencing the additive manufacturing (AM) processes resulting in high degree of variation in process outcomes. Therefore, quantifying these factors and their correlations to the process outcomes are important challenges to overcome

Influence of Scan Strategy and Process Parameters on Microstructure and Its Optimization in Additively Manufactured Nickel Alloy 625 via Laser Powder Bed Fusion

September 23, 2016
Author(s)
Yigit Arisoy, Luis Criales, Tugrul Ozel, Brandon Lane, Shawn P. Moylan, Alkan Donmez
Laser powder bed fusion (L-PBF) as an additive manufacturing process produces nearly fully dense nickel alloy 625 (IN625) parts with complex features. L-PBF generates surfaces and microstructure through directional solidification that can be controlled by

CHALLENGES IN TOLERANCE TRANSFER FOR ADDITIVE MANUFACTURING

September 22, 2016
Author(s)
Gaurav Ameta, Shawn P. Moylan, Paul Witherell
Abstract: From the design point of view, datum features are used to imply design intent of particular function of the part or sequence of assembly of components in a product. Each feature in a part could potentially have different datum reference based on

Using Design of Experiments in Finite Element Modeling to Identify Critical Variables in Laser Powder Bed Fusion

August 11, 2016
Author(s)
Li Ma, Jeffrey T. Fong, Brandon Lane, Shawn P. Moylan, James J. Filliben, N. Alan Heckert, Lyle E. Levine
In Laser Powder Bed Fusion (L-PBF) Finite Element Analysis (FEA), input of accurate material and simulation parameters is critical for accurate predictions. It is challenging and expensive to measure and control all possible material properties and process

Design, Developments, and Results from the NIST Additive Manufacturing Metrology Testbed (AMMT)

August 10, 2016
Author(s)
Brandon M. Lane, Sergey Mekhontsev, Steven E. Grantham, Mihaela Vlasea, Justin G. Whiting, Ho Yeung, Jason C. Fox, Clarence J. Zarobila, Jorge E. Neira, Michael L. McGlauflin, Leonard M. Hanssen, Shawn P. Moylan, M A. Donmez, Joseph P. Rice
NIST is developing a facility titled the Additive Manufacturing Metrology Testbed that will enable advanced research into monitoring, controls, process development, and temperature measurement for laser powder bed fusion additive manufacturing and similar

Variation of Emittivity with Powder Bed Fusion Build Parameters

August 4, 2016
Author(s)
Jarred C. Heigel, Brandon M. Lane, Shawn P. Moylan
Common approaches to process monitoring of powder bed fusion rely heavily on optical measurements. These measurements can be used to verify powder spreading, assess the quality of each layer, and to measure process temperatures. In regards to the latter

Synchrotron 4-dimensional imaging of two-phase flow through porous media

July 13, 2016
Author(s)
Felix H. Kim, D. Penumadu, P. Patel, X. Xiao, E. J. Garboczi, Shawn P. Moylan, M A. Donmez
Near real-time visualization of complex two-phase flow in a porous medium was demonstrated with dynamic 4D (3D + time) imaging at the 2-BM beam line of the Advanced Photon Source (APS) at Argonne National Laboratory. Advancing fluid fronts through tortuous

Powder Bed Layer Geometry

June 27, 2016
Author(s)
Michael L. McGlauflin, Shawn P. Moylan
This paper investigates the measurement of machine performance errors associated with the powder bed geometry of a commercially available laser additive manufacturing (AM) machine. The methodology is based on existing ISO/ANSI standards as employed in