![]() In some cases, reduces run times and improves accuracy for internal buoyancy-driven flows.Some internal natural convection analyses Produce similar results to the Laminar selection for laminar flows.Generally produces the same solution for high speed flows as k-epsilon.Requires more iterations to converge than with k-epsilon.This model does not use wall functions.Buoyancy-driven (natural convection) flows that are barely turbulent.High-speed jets entering a large room of with slow-moving flow.Pipe flows and external aerodynamic flows that transition from laminar to turbulent.Flows with both low and high speed regions.Low speed, turbulent flows, with a Reynolds number between 1,500 and 5,000.Often recommended to start with the k-epsilon model and switch to RNG after the flow is mostly converged.More computational intensive, but sometimes slightly more accurate than the k-epsilon model.Reattachment point for separate flows, particularly for flow over a backward-facing step. It works best with a uniform mesh distribution.It is computationally intensive and is sensitive to the mesh distribution.This is a hybrid between SST k-omega and large eddy simulation (LES) models. ![]()
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