A research project at Pennsylvania State University is due for a $1.5-million grant to develop practical methods for improving metalcasting efficiency by integrating automation and digital tools in use for additive manufacturing. The research team is proposing Digi-FOCUS: a simulated “digital twin foundry” that will work in parallel with additive manufacturing and casting systems.
Digi-FOCUS will evaluate production methods used in five additive manufacturing processes (3D printing sand, ceramic, polymers, wax and foam, plus different metal alloys), and also adaptive robotics systems, to gather insights they will use to streamline parts of the metalcasting workflow, like inspection and material handling.
Also, the research team will introduce sensors to additive manufacturing systems to track information such as printing conditions, metal temperature, or molten-metal flow velocity, and feed that data to a digital twin to simulate and model the foundry activity.
The digital foundry will model the actual processes in real-time, using advanced data collection and analysis to provide researchers detailed information about where casting can be optimized.
The Penn State project is led by Guha Manogharan, associate professor of mechanical engineering. It is proceeding as part of a larger project underway by the IMPACT 3.0 program under the Office of the Secretary for Defense Manufacturing. He is also the co-director of the Center for Innovative Materials Processing through Direct Digital Deposition.