Join the Grainger Institute for Engineering on September 25 from 9:00am–11:00am for a discussion of the practical applications for emerging research on energy use, efficiency, and distribution. In this live webinar, speakers with expertise in smart manufacturing, electrical systems, and power distribution will present their latest cutting-edge research advancements with potential for addressing today’s energy challenges: continuously growing energy demand and the pressing need for a clean and reliable energy supply.
Agenda
| Time | Event |
| 9:00am-9:05am | Welcome Message Dan Thoma, Director, Grainger Institute for Engineering |
| 9:05am-9:30am | “Smart Manufacturing: Real-Time Detection of Defects and Anomalies of Manufacturing Process using IIOT and Deep Learning” Sangkee Min, Assistant Professor, Department of Mechanical Engineering With a simple sensor implementation or extraction of data from the controller manufacturing equipment, real-time monitoring of manufacturing process can detect defects and anomaly of the process. As an example, cold-forging process in real industry was used to demonstrate the concept. |
| 9:30am-9:55am | “Lose Your Bearings: Energy and Sustainability Opportunities with Magnetically Suspended Motor Shafts” Eric Severson, Assistant Professor, Department of Electrical and Computer Engineering Mechanical motor bearings are the first components to fail in an electric motor system, create frictional losses, and rely on lubricants that create contamination challenges and require periodic maintenance. In short, bearings are the Achilles’ heel of modern electric motors. This presentation will discuss new “bearingless” motors and their potential to revolutionize systems that rely on electric motors–from industrial compressors and blowers, such as those found in HVAC systems and wastewater aeration equipment, to flywheel energy storage devices and electric turbochargers in fuel-efficient vehicles. |
| 9:55am-10:20am | “Enabling a Sustainable, Resilient Electric Grid through Data-Driven Optimization” Line Roald, Assistant Professor, Department of Electrical and Computer Engineering The electric grid is a key component in enabling the transition to a sustainable, resilient energy system. At the same time, this transition challenges the ability of the grid to accommodate highly variable, uncertain renewable energy and remain operational during severe weather conditions. In this talk, we discuss how our research utilize probabilistic data and optimization to develop decision support tools that enable secure and economic operation of the electric grid, with a focus on integration of large shares of renewable energy and better management of wildfire risk. |
| 10:20am-11:00am | Panel Q&A |