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At the 2023 INFORMS Annual Meeting , NIST researcher Mehdi Dadfarnia presented research findings based on use of NIST-developed SimPROCESD software, which can
CTL’s Smart Connected Manufacturing Systems Group and the Longterm Archiving and Retrieval (LOTAR) Consortium have supported multi-year efforts to harmonize
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
To provide the necessary information for electronic material manufacturers to predict how and when failures will occur and enable lifetime analysis appropriate
This project develops and applies metrologies and standards for characterizing microstructure and dynamics in advanced functional materials of technological
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