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Search Publications by: Shawn P. Moylan (Fed)

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Displaying 26 - 50 of 71

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

Multiple Sensor Detection of Process Phenomena in Laser Powder Bed Fusion

May 20, 2016
Author(s)
Brandon M. Lane, Eric P. Whitenton, Shawn P. Moylan
Laser powder bed fusion (LPBF) is an additive manufacturing (AM) process in which a high power laser melts metal powder layers into complex, three-dimensional shapes. LPBF parts are known to exhibit relatively high residual stresses, anisotropic

Recommended Protocols for Round Robin Studies in Additive Manufacturing

March 1, 2016
Author(s)
Shawn P. Moylan, Christopher U. Brown, John A. Slotwinski
One way to improve confidence and encourage proliferation of additive manufacturing (AM) technologies and parts is by generating more high quality performance data. Many in the AM community see round robin studies as a way to generate large data sets while

Reconfigurable Data Driven Virtual Machine Tool: Geometric Error Modeling and Evaluation

August 31, 2015
Author(s)
Ronnie R. Fesperman Jr., Shawn P. Moylan, Gregory W. Vogl, M A. Donmez
Standards communities are actively working to establish robust machining and measurement tests used to evaluate the machining performance of 5-axis machining centers through the direct and indirect measurement of the simultaneous motions of all five axes

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

August 27, 2015
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

Additive Manufacturing Round Robin Protocols: A Pilot Study

August 12, 2015
Author(s)
Shawn P. Moylan, Joshua Land, Antonio M. Possolo
As the number of users of additive manufacturing (AM) steadily increases, and considering their demand for material and process specifications, the need for standard protocols for round robin studies is increasing accordingly. Researchers at the National

Tolerance Specification and Related Issues for Additively Manufactured Products

August 12, 2015
Author(s)
Gaurav Ameta, Robert R. Lipman, Paul W. Witherell, Shawn P. Moylan
Additive manufacturing (AM) has gained increased attention in the last decade as a versatile manufacturing process for customized products. AM process can create complex free-form shapes, internal cavities and lattices, which are either not feasible or

Post-process machining of additive manufactured stainless steel

April 29, 2015
Author(s)
Brandon M. Lane, Shawn P. Moylan, Eric P. Whitenton
Due to the poorer surface finish and geometric accuracy of additive manufactured (AM) parts compared to machined parts, it is inevitable that parts fabricated through AM processes will require post-process machining. This problem was identified early by

Thermographic and FE Simulation of the DMLS Process at NIST

February 4, 2015
Author(s)
Brandon M. Lane, Li Ma, Shawn P. Moylan, M A. Donmez, Eric P. Whitenton, Daniel J. Falvey
A major effort of the Measurement Science for Additive Manufacturing Program at NIST is to provide high quality, well-defined temperature measurement of the DMLS process to support and validate multi-physics simulations. However, the dynamic, complex

An Additive Manufacturing Test Artifact

October 23, 2014
Author(s)
Shawn P. Moylan, John A. Slotwinski, A L. Cooke, Kevin K. Jurrens, M A. Donmez
We propose a test artifact, intended for standardization, for the purpose of evaluating the performance of additive manufacturing (AM) systems. A thorough analysis of previously proposed AM test artifacts as well as experience with machining test artifacts

Powder Bed Fusion Machine Performance Testing

April 16, 2014
Author(s)
Shawn P. Moylan, Joseph Drescher, M A. Donmez
Unlike conventional machining where there is a near 1:1 correspondence of machine performance to the geometry of the workpiece, the accuracy of the machine components is only one of the contributors to the quality of a finished AM part. Rather, there is