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This project aims to enable use of metal additive manufacturing (AM) in fatigue and fracture critical applications via two main thrusts: Develop appropriate
Critical parts for defense, aerospace, and medical applications must be formally qualified prior to use. Currently, extensive empirical testing consisting of
An integrated computational materials engineering (ICME) approach is employed to link experimental and computational models across a variety of time and length
Currently there is a significant interest in using additively manufactured parts in high-performance applications. However, due to a lack of publicly available
“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies
AM data is essential for establishing part traceability, understanding AM processes and making decisions during the product development lifecycle. The curation
This project provides new measurement methods, property data and simulations for areas critical to US manufacturing, describing the mechanisms responsible for
The ability to deposit small amounts of material in a highly controllable and precise fashion is important for creating test materials for trace detection
Part quality in additive manufacturing (AM) is highly dependent on the process control, but there is a lack of adequate AM control methods and standards. In
The lack of repeatable process outcomes from additive manufacturing (AM) has been broadly acknowledged as an impediment to widespread implementation. While most
This program addresses measurements and standards necessary to develop and deploy advances in measurement science that will enable rapid design-to-product
All inorganic materials contain point defects in the form of impurities, interstitials, or vacancies. Common imaging techniques fail to capture these defects
First responders, athletes, consumers, and the military rely on protective equipment to prevent blunt trauma from an impact. Understanding of the relationship
Multi-physics models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF) and directed
Part quality in additive manufacturing (AM) is highly variable due to inadequate dimensional tolerances, surface roughness, and defects, thereby limiting its
This project develops and applies metrologies and standards for characterizing microstructure and dynamics in advanced functional materials of technological
NIST's goal is to support innovation in the PAM industry by enabling unprecedented high-resolution, mechanically-precise vat photopolymerization via fundamental
The manufacture of polymeric materials from their raw form into their final useful product occurs under highly non-equilibrium conditions where temperature and
The lack of repeatable process outcomes from additive manufacturing (AM) has been broadly acknowledged as an impediment to widespread implementation. While most
Part quality in additive manufacturing (AM) is highly variable due to inadequate dimensional tolerances, surface roughness, and defects, thereby limiting its
Local material-property information is essential to evaluate emerging micro- and nanoscale materials, which many manufacturers would like to leverage for their
This project is tasked with enabling accurate nanomechanical property measurements on materials through calibrations and standards. Our goal is to develop