Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications by: Shawn P. Moylan (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 26 - 50 of 133

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

Residual Stress in Additive Manufactured Nickel Alloy 625 Parts

June 29, 2018
Author(s)
Lindsey B. Bass, Justin L Milner, Thomas H. Gnaupel-Herold, Shawn P. Moylan
One of the key barriers to widespread adoption of additive manufacturing (AM) for metal parts is the build-up of residual stresses. In the laser-based powder bed fusion process, a laser selectively fuses metal powder layer by layer, generating significant

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