This $493,637 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance simulation-based manufacturing process digital twin (DT) technologies. The research will develop a self-organizing DT framework that continuously validates and calibrates the simulator and controls the manufacturing system with minimal human intervention. Key goals include establishing mathematical and algorithmic frameworks for online DT validation, self-calibration of the DT simulator, optimal control for contingency scenarios, and parallel computing for rapid optimization. This research is expected to enhance the competitiveness of U.S. and U.K. manufacturers through industry collaborations and promote national welfare by improving the efficiency, reliability, and resilience of manufacturing processes. The award is held by the Georgia Tech Research Corporation, which will perform the work from September 2024 through August 2027.
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