Verification of Turbulence Models for Flow in a Constricted Pipe at Low Reynolds Number
Fardin Khalili, Peshala P.T. Gamage, Hansen A. Mansy

TL;DR
This study compares various turbulence models for flow prediction in a constricted pipe at low Reynolds number, finding LES provides the most accurate results and detailed flow structures, useful for biomedical applications.
Contribution
It evaluates and compares URANS, LES, and DES turbulence models against experimental data for flow in a constricted pipe, highlighting LES's superior accuracy and detail.
Findings
LES model aligns best with experimental velocity data.
URANS predicts mean flow but lacks small-scale vortical structures.
LES is recommended for detailed flow and acoustic studies.
Abstract
Computational fluid dynamics (CFD) is a useful tool for prediction of turbulence in aerodynamic and biomedical applications. The choice of appropriate turbulence models is key to reaching accurate predictions. The present investigation concentrated on the comparison of different turbulence models for predicting the flow field downstream of a constricted pipe. This geometry is relevant to arterial stenosis in patients with vascular diseases. More specifically, the results of Unsteady Reynolds-Averaged Navier-Stokes (URANS) and scale resolving simulation (SRS) turbulence models such as Large Eddy Simulation (LES) and Detached Eddy Simulation (DES) were compared with experimental measurements. Comparisons included the mean flow and fluctuations downstream of the constriction. Results showed that the LES model was in better agreement with the velocity measurements performed using a Laser…
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