Center for Advanced Research in Drying » Image-Based, Physics-Constrained Machine Learning for Process Optimization and Design in Paper Drying Systems

Overview

The primary goal of this project is to advance “smart drying” of paper-producing machines by developing a physics-constrained artificial intelligence framework for process modeling, optimization, and design. Success factors in achieving the goals lie in the three key technical innovations: 1) predictive concurrent model of drying process 2) efficient model of paper quality estimation 3) optimization of process parameters and drying system design. The research will harness recent advancements of physics-based AI developed by the PI’s to advance paper drying and open the possibility of intelligent control for a broad range of drying applications, such as fruit, milk powder, bakery food, etc.

L. Cheng, C. Shao