Artificial Intelligence Based Process Control and Optimization for Advanced Manufacturing

This project will develop the capability to intelligently control and optimize advanced manufacturing processes instead of the existing trial and error approach. To achieve this goal, artificial intelligence (AI) based control algorithms will be developed by employing deep reinforcement learning. To reduce the computational expense with advanced manufacturing models, physics-informed reduced order models (ROMs) will be developed. The AI-based control algorithms will employ the ROMs predictions to adaptively inform processing decisions in a simulation environment.