The low Reynolds number k-omega turbulence model was in much better agreement with experimental measurements than k-epsilon models for predicting mean flow distal to the stenosis.
The low Reynolds number k-omega turbulence model provides superior accuracy in predicting pulsatile turbulent flow in stenotic vessels compared to k-epsilon models.
Pulsatile turbulent flow in stenotic vessels has been numerically modeled using the Reynolds-averaged Navier-Stokes equation approach. The commercially available computational fluid dynamics code (CFD), FLUENT, has been used for these studies. Two different experiments were modeled involving pulsatile flow through axisymmetric stenoses. Four different turbulence models were employed to study their influence on the results. It was found that the low Reynolds number k-omega turbulence model was in much better agreement with previous experimental measurements than both the low and high Reynolds number versions of the RNG (renormalization-group theory) k-epsilon turbulence model and the standard k-epsilon model, with regard to predicting the mean flow distal to the stenosis including aspects of the vortex shedding process and the turbulent flow field. All models predicted a wall shear stress peak at the throat of the stenosis with minimum values observed distal to the stenosis where flow separation occurred.
Varghese et al. (Fri,) conducted a other in Stenotic vessels. Low Reynolds number k-omega turbulence model vs. RNG k-epsilon and standard k-epsilon turbulence models was evaluated on Agreement with previous experimental measurements for predicting mean flow distal to the stenosis. The low Reynolds number k-omega turbulence model was in much better agreement with experimental measurements than k-epsilon models for predicting mean flow distal to the stenosis.