Smart Manufacturing of Pulp and Paper: Advanced Machine Learning Enabled Multi-Objective Control for Energy Efficient Operation of Brownstock Washing Project Lead: Auburn UniversityPartners: Rayonier Advanced Materials Member % Cost Share: 49.6%CESMII % Cost Share:...
Bayesian Dropout Approximation of Process Outcomes Project Lead: Rensselaer Polytechnic Institute Member % Cost Share: 50%CESMII % Cost Share: 50%Duration: 18 Months Problem Statement The lack of robust, automatic predictive modeling is a gap that cuts across...
Self-Powered Sensing and Data Science for Smart Manufacturing Project Lead: Penn State UniversityPartners: Texas A&M University, University of Texas – Rio Grande Valley Member % Cost Share: 50.04%CESMII % Cost Share: 49.96%Duration: 18 Months Problem Statement...
Hybrid Modeling for Energy Efficient CNC Grinding Project Lead: West Virginia UniversityPartners: Indiana Technology and Manufacturing Companies (ITAMCO), University of Buffalo Member % Cost Share: 50.08%CESMII % Cost Share: 49.92%Duration: 18 Months Problem Statement...
