Digitalization for Advanced Manufacturing Through Simulation, Visualization, and Machine Learning

Computer simulation, visualization, and machine learning are increasingly playing key roles in the digitalization of advanced manufacturing processes. These technologies can be used to create cutting-edge physics-based and data-driven tools for real-time decision making to address critical issues related to energy efficiency, carbon footprint, and other pollutant emissions, productivity, quality, operation efficiency, maintenance, and more. They can also provide fundamental understanding and practical guidance for process design, troubleshooting, and optimization, new process development and scale up, as well as workforce development. The Center for Innovation through Visualization and Simulation (CIVS) at Purdue University Northwest, established in 2009, has used these technologies to develop and implement digitalization for Advanced Manufacturing in partnerships with steel and other industries.