Webinar: Particle Suspension, Settling, and Dissolution Processes

M-Star President John Thomas presents on particle suspension, settling, and dissolution processes. Learn how GPU-native simulations can optimize suspension and dissolution in particle laden systems thereby enhancing process efficiency and yield. Advances in GPU, combined with modern algorithms, have presented a step-change in how these models can be applied in industrial settings.

In the March installment of the CFD Compass Webinar Series, M-Star President John Thomas focused on key concepts in particle-laden flows essential for comprehending industrial transport processes. Thomas discussed the utilization of GPU-based algorithms to achieve unprecedented speed and efficiency in simulations. The objective was to delve deeper into fundamental transport representations, aiming to eliminate the need for generalized correlations and reduce assumptions about material properties.

Thomas explored different classes of particles, such as tracers, inertial particles, and DEM particles, highlighting the differentiation between resolved and unresolved particles based on their size relative to the computational grid. Thomas emphasized the significance of matching the model to the system size and complexity. While tracer particles offer simplicity and cost-effectiveness, DEM provides detailed insights into particle behavior, albeit at the expense of computational resources. Ultimately, the selection of particle dynamics models depends on the specific characteristics of the system under study, ranging from simple tracer particles for flow visualization to detailed DEM simulations for resolving particle interactions.