Manufacturing Lab at CU-ICAR
Research Projects

Modeling and State Estimation

Models of process physics are derived from first principles, and validated through experiment. States are identified through optimal estimation techniques.

  • Flow Drill Screwing Process Modeling and Enhancement

  • Sustainable Manufacturing Plant Assessment

Model-Based Manufacturing Control

Model-based control (MBC) represents a broad class of strategies where predictive models of process physics are integrated to process control.

Process Learning and Development

Sensor fusion and changes to process states are used to interpret process health and to predict output quality. New process approaches are developed.

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