Manufacturing Process Modeling and Application to Intelligent Control

This paper reviews the major findings and intellectual contributions made over the past five years through research in the laboratory of Dr. Laine Mears at Clemson University. The focus of the laboratory’s work is in modeling of traditional and novel manufacturing processes, and application of such models to process control through model-based control strategies. Introducing intelligence to the manufacturing process through physical descriptions of the phenomena being controlled allows for more precise control as compared with reactive systems or those with simple feed-forward control schemes. For traditional processes, new approaches to process characterization allow for more precise control. For novel processes and those developed in our lab, models are derived and successfully applied. The work outlined here has enabled not only a more accurate characterization of new and traditional processes, but also more effective and efficient strategies for their control