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Displaying 526 - 550 of 658

A Review Of Machine Learning Applications In Additive Manufacturing

August 17, 2019
Author(s)
Saadia A. Razvi, Shaw C. Feng, Anantha Narayanan Narayanan, Yung-Tsun Lee, Paul Witherell
Variability in product quality continues to pose a major barrier to the widespread application of additive manufacturing (AM) processes in production environment. Towards addressing this barrier, the monitoring of AM processes and the measuring of AM

Elastic residual strain and stress measurements and corresponding part deflections of 3D AM builds of IN625 AM-Bench artifacts using neutron diffraction, synchrotron X-ray diffraction, and contour method

July 29, 2019
Author(s)
Thien Q. Phan, Maria Strantza, Michael R. Hill, Thomas H. Gnaupel-Herold, Jarred C. Heigel, Christopher D'Elia, DeWald Adrian, Bjorn Clausen, Darren C. Pagan, J. Y. Peter Ko, Donald W. Brown, Lyle E. Levine
One of the primary barriers for acceptance of additive manufacturing (AM) has been the uncertainty in the performance of AM parts due to residual stresses/strains. The rapid heating and cooling rates, along with the thermal history of the laser melting

PROBABILITY OF DETECTION OF X-RAY COMPUTED TOMOGRAPHY OF ADDITIVE MANUFACTURING DEFECTS

July 19, 2019
Author(s)
Felix H. Kim, Adam L. Pintar, Jason C. Fox, Jared B. Tarr, M A. Donmez, Anne-Fran?oise Obaton
A methodology to determine probability of detection (POD) of X-ray Computed Tomography (XCT) was developed using Additive Manufacturing defects. A signal response POD analysis (a^ vs a) was used, where both signal response (a^) and true defect size (a)

Measuring & Predicting Crystal Morphology in Fused Deposition Modeling

June 19, 2019
Author(s)
Claire McIlroy, Jonathan Seppala, Anthony Kotula
Semi-crystalline polymer melts are commonly used in fused deposition modeling. Although flows have a profound effect on polymer crystallization, the relationship between typical fused deposition modeling (FDM) deformation rates and printed-part crystal

Polymer Additive Manufacturing: Confronting Complexity

June 19, 2019
Author(s)
Anthony P. Kotula, Jonathan E. Seppala, Chad R. Snyder
Since its development and commercialization in the 1980s, polymer additive manufacturing (AM) has become a disruptive technology. In this chapter we describe the ever-increasing demands for polymer AM in industry, academia, and government, as well as the

Preface

June 19, 2019
Author(s)
Jonathan E. Seppala, Anthony P. Kotula, Chad R. Snyder

Geometrical metrology for metal additive manufacturing

June 11, 2019
Author(s)
Richard Leach, David Bourell, Simone Carmignato, Alkan Donmez, Nicola Senin, Wim Dewulf
Metal additive manufacturing technologies facilitate the production of highly complex geometries - this presents designers with many opportunities for high-value sectors but results in manufactured geometries and surfaces that can be difficult to measure

Efficient volumetric non-destructive testing methods for additively manufactured parts

June 6, 2019
Author(s)
Anne-Francoise Obaton, Bryan Butsch, Ewen Carcreff, Nans Laroche, Jared B. Tarr, Alkan Donmez
As additive manufacturing (AM) moves towards industrial production in critical sectors such as aerospace and medical, the integrity of the fabricated AM parts need to be ensured in order for these parts to be certified. This requires quality controls

Uncertainty of particle size measurements using dynamic image analysis

May 14, 2019
Author(s)

Justin G. Whiting, Vipin N. Tondare, John H. Scott, Thien Q. Phan, M A. Donmez

Metal powder particle size and size distribution (PSD) are critical factors affecting powder layer density and uniformity in additive manufacturing processes. Among various existing measurement methods, dynamic image analysis (DIA) instruments are very
Displaying 526 - 550 of 658
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