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The MBE Summit has brought academia, government, and industry experts together for over 10 years to share the challenges, implementation issues, and lessons
At the 2023 International Conference on System Reliability and Safety (ICSRS) in Bologna, Italy, NIST researcher Mehdi Dadfarnia presented research findings
In January 2024, NIST researchers Allison Barnard Feeney and Rosemary Astheimer worked with Ben Urick (nVariate) and Thomas Thurman (TRThurman Consulting) to
As part of the NIST on a Chip program, the Photonic Dosimetry project is developing in-situ sub-micrometer ionizing-radiation dosimetry and calorimetry leading
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
Deliver measurement science, standards and protocols, and tools needed to design and analyze SMS based on a cyber-physical infrastructure for digital and
Multi-physics models are necessary to simulate, study, and optimize metal additive manufacturing (AM) processes, such as powder bed fusion (PBF) and directed
Manufacturers perpetually adapt their systems to meet unforeseen events, new objectives, competition, and improved understanding of processes. In that human
Lean manufacturing is based on data collection and analysis that is used toward reducing waste and enabling continuous improvement. However, little research has
Due to self-occlusions in 3D point clouds acquired with line-of-sight sensors, an incomplete representation of an object's surface is used in fitting a CAD
SimPROCESD is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it
The Unit Manufacturing Process (UMP) Builder allows researchers to record their UMP models according to the ASTM E3012-16 standard .
One of the main drivers
Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it