Develop a digital twin using CFDcs modeling to enhance smelter efficiency by optimizing sensor locations. Leveraging Ansys-Fluent, this approach aims to improve process control and monitoring.
Clarkson University is developing an advanced computational fluid dynamics (CFDcs) model to optimize sensor placement in smelters. This digital twin technology aims to enhance the efficiency and control of smelting processes by providing strategic insights into sensor locations, ultimately improving monitoring and operational outcomes. With the use of Ansys-Fluent, the project leverages Clarkson University's extensive experience in industrial modeling to deliver a solution that aligns with the needs of industries requiring precise process control.
Currently at TRL 2, the project is in the stage of concept formulation and initial modeling. It requires further development and validation, including detailed information about the smelter unit and its operating conditions, before advancing to higher readiness levels.
Clarkson University is a private, national research university with a STEM-oriented character and a multi-campus footprint anchored in Potsdam, New York. Companies engage through a state-designated Center for Advanced Technology in advanced materials that supports industry collaboration and access to applied expertise. A Capital Region campus and a Hudson Valley research site extend reach into New York’s technology and manufacturing corridors, while co-op and internship pathways align talent with corporate R&D needs. Research is backed by competitive federal funding from major U.S. agencies such as the National Science Foundation and National Institutes of Health. A dedicated technology transfer office and the Shipley Center for Innovation provide IP support, incubation, and startup acceleration.