Webinar Announcement: Exploring Reduced Order Modeling in Industrial Mixing Processes
Reduced Order Modeling (ROM) is a powerful mathematical technique that simplifies complex systems by reducing the number of variables or equations needed for accurate representation. By identifying key features that dominate system behavior and ignoring less significant details, ROM enables faster calculations with minimal loss of accuracy.
In industrial mixing processes, which often involve complex fluid dynamics that are computationally expensive to simulate in full detail, ROM offers significant advantages. By capturing essential flow characteristics, ROM facilitates quicker and more efficient simulations, empowering engineers to optimize processes, predict performance, and scale operations without compromising accuracy. This can lead to substantial cost savings, enhanced product quality, and more effective design of industrial mixing equipment.
This webinar will present two examples of how ROM can be utilized to predict process characteristics and performance in mixing applications.
The webinar is organized by the WP on Mixing as a part of the EFCE 7th Spotlight Talk Series.
Find out more here
Please note: Registration is free of charge but mandatory