No single turbulence model is suitable for all flow applications. As a result, engineers typically have to choose the best flow model to fit their situation. For boundary layers, the models differ mostly in their ‘aggressiveness’ to predict separation onset. Furthermore, in the very near-wall region, models can predict vastly different results, especially for heat transfer simulations, due to their differences in wall-treatment. There are also noticeable differences for free shear flows, where each model tends to favour certain flows over others. Finally, different models feature different limiters, which typically do not affect the baseline flows, but can have substantial influence in complex applications.
ANSYS developed a new turbulence model family called Generalize k-omega (GEKO) model with the goal of turbulence model consolidation. GEKO is a two-equation model, based on the k-omega model formulation, but with the flexibility to tune the model over a wide range of flow scenarios.
In this Tips & Tricks webinar, the fundamental aspects of GEKO model will be introduced and examples of how the model can be tuned to provide accurate results for a variety of flow situations will be presented.
Please note: This is a customer only webinar. You must have a valid customer portal login for this event.
Presented by: Kalyan Goparaju, Technical Support Engineer
Kalyan Goparaju received his Ph.D. in Aerospace Engineering from The Ohio State University in December 2017. The focus of his Ph.D. research was on identifying the flow and acoustic behavior of complex supersonic jets using high-fidelity LES, and developing advanced predictive tools to efficiently capture the acoustic characteristics of such configurations. In addition to noise prediction, he also worked on minimizing/mitigating acoustic radiation from shock dominant jet flows using active flow-control methods. After graduation, Kalyan interned at Exa Corporation where he worked on automotive aeroacoustics methodology development. In October 2018, he joined ANSYS as a Technical Support Engineer.