The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has awarded $3.7 million in grants to help overcome current and future barriers to the widespread adoption of metal-based additive manufacturing thanks to research in measurement sciences.
“The United States can play a leadership role in developing the international metrics and standards that will help accelerate the adoption of these important 3D printing technologies,” said Commerce Undersecretary for Standards and Technology and NIST Director Laurie E. Locascio. “To be globally competitive, we must invest in programs like this that bring together our best minds from industry, academia and government to solve important technical challenges.”
Additive manufacturing typically creates parts and components by building them layer by layer, based on a 3D computer model. Most metal-based additive processes form parts by melting or sintering material in powder form.
“Additive manufacturing offers benefits such as reduced material waste, lower energy intensity, reduced time to market, and just-in-time production that could strengthen supply chains in the United States,” said Locascio. “Accelerating the adoption of new measurement methods and standards will help advance U.S. competitiveness in this important industry.”
Through its own research and these grants, NIST is addressing barriers to adoption of additive manufacturing, including measurement science to support equivalence-based qualification and model-based qualification, characterization of AM materials and standards to support consistent data exchange/characterize new advances in AM production systems.
The following organizations will receive funding from the NIST Metals-Based Additive Manufacturing Grants Program to be spent over two years:
The State University of New York Research Foundation (Albany, New York) – $957,706
The objective of this project is to demonstrate an improved non-destructive evaluation (NDE) technique that can determine key material properties such as oxide thicknesses, percentage of spatter particles, grain size and fault detection.
Colorado School of Mines (Golden, Colorado) – $956,888
This project will examine new optical metrologies to enable real-time process feedback and control to achieve process-based qualification and certification of metal parts manufactured by AM.
Auburn University (Auburn, Alabama) – $949,075
The goal of this project is to establish a data-driven framework with computer vision and machine learning for non-destructive qualification of additive manufacturing materials and parts for applications that cannot afford failures due to fatigue.
General Electric, GE Research (Niskayuna, NY) – $873,999
GE Research has partnered with GE Additive and the University of Texas at El Paso (UTEP) to establish the Intelligent Stitch Integration for Testing and Evaluation (I-SITE) program to extend existing standardized methods and establish correlations between sensor response, material behavior and mechanics. Properties.
For more information: www.nist.gov
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