Numerical Simulation of Airflow Around the Car Body Using SST Turbulence Model

2002 ◽  
Author(s):  
Wu Jun ◽  
Gu Zheng-Qi ◽  
Zhong Zhi-Hua
Keyword(s):  
Numerical Simulation ◽  
Turbulence Model ◽  
Car Body ◽  
Sst Turbulence Model

Numerical Simulation Analysis of Car Overtaking on SST Turbulence Model

2014 ◽  
Vol 628 ◽  
pp. 270-274
Author(s):  
Yi Bin He ◽  
Qi Zhi Shen
Keyword(s):  
Numerical Simulation ◽  
Numerical Experiment ◽  
Drag Coefficient ◽  
Turbulence Model ◽  
Simulation Analysis ◽  
Turbulence Models ◽  
Force Coefficient ◽  
Side Force ◽  
Sst Turbulence Model ◽  
Side Force Coefficient

Thebased SST (shear strain transport) turbulence model combines the advantages of and turbulence models and performs well in numerical experiment. In the paper, the SST turbulence model is applied to model vehicle overtaking process with numerical simulation technology. The change graph of drag coefficient and side force coefficient are gained. Analysis of the phenomena is presented at the end.

Numerical Simulation of a Vertical Axis Wind Turbine for Urban Use

2015 ◽  
Vol 811 ◽  
pp. 333-338
Author(s):  
Ion Mălăel ◽  
Lucas Moutet ◽  
Valeriu Drăgan
Keyword(s):  
Numerical Simulation ◽  
Turbulence Model ◽  
Vertical Axis ◽  
Optimal Choice ◽  
Cfd Analysis ◽  
Vertical Axis Wind Turbine ◽  
Design Point ◽  
Flow Parameters ◽  
Sst Turbulence Model ◽  
Global Parameters

This paper presents a detailed CFD analysis of an H-type Darrieus VAWT of 1.5 kW. Menter's SST turbulence model was used in a pressure-based, transient solver in order to obtain both the global and the detailed flow parameters of the turbine at its design point TSR. Due to the sensitivity of the case itself, a low Reynolds number as well as a curvature and rotation correction were added to the baseline turbulence model. The airfoil of the turbine was chosen following a classical drag polar screening and evaluation, with particular care to the angles of attack beyond the stalling angle. Results indicate that the NACA 0021 was an optimal choice for this case and that the global parameters are close to the classical theory at design point. Further work may include 3D LES or DES of the flow in order to obtain even more details regarding the vorticity structures developing along within the turbine.

Reynolds Stress Turbulence Models for Prediction of Shear Stress Terms in Cross Flow Film Cooling — Numerical Simulation

2002 ◽  
Author(s):  
Aliyar Javadi ◽  
Khodayar Javadi ◽  
Mohamad Taeibi-Rahni ◽  
Mohammad Reza Keimasi
Keyword(s):  
Numerical Simulation ◽  
Shear Stress ◽  
Reynolds Stress ◽  
Turbulence Model ◽  
Film Cooling ◽  
Model Comparison ◽  
Transport Model ◽  
Staggered Grid ◽  
Computational Domain ◽  
Sst Turbulence Model

Reynolds stress models are computationally more complex and time consuming but, have the potential of greater accuracy and wider applicability. Turbulent cross flows and film cooling have highly complex characteristics. In this work, we computationally simulated a three-dimensional, separated hole film cooling problem of flow over a flat plate, using Reynolds stress model (RSM) with wall function and zonal (κ-ε)/(κ-ω) turbulence model (shear stress transport model or SST). The Reynolds number of the jet was 4700. Our computational domain included the space above plate plus the film cooling jet channel. In our numerical simulation, the SIMPLE finite volume method with a non-uniform staggered grid was implemented. Our results were compared with Ajersch et al. experimental and numerical work’s (κ-ε turbulence model). Also, they were compared with Keimasi and Taeibi-Rahani’s numerical simulation work (SST turbulence model). Comparison between the measured and computed results show, that RSM/SST turbulence model in our work has better agreement with experimental data in most cases.

Modeling of mass transfer in biofilms in oscillatory flow conditions using k-ɛ turbulence model

2003 ◽  
Vol 3 (1-2) ◽  
pp. 201-207
Author(s):  
H. Nagaoka ◽  
T. Nakano ◽  
D. Akimoto
Keyword(s):  
Numerical Simulation ◽  
Mass Transfer ◽  
Turbulence Model ◽  
Uptake Rate ◽  
Oscillatory Flow ◽  
Substrate Uptake ◽  
Flow Conditions ◽  
Mass Transfer Mechanism ◽  
Substrate Uptake Rate ◽  
Good Agreement

The objective of this research is to investigate mass transfer mechanism in biofilms under oscillatory flow conditions. Numerical simulation of turbulence near a biofilm was conducted using the low Reynold’s number k-ɛ turbulence model. Substrate transfer in biofilms under oscillatory flow conditions was assumed to be carried out by turbulent diffusion caused by fluid movement and substrate concentration profile in biofilm was calculated. An experiment was carried out to measure velocity profile near a biofilm under oscillatory flow conditions and the influence of the turbulence on substrate uptake rate by the biofilm was also measured. Measured turbulence was in good agreement with the calculated one and the influence of the turbulence on the substrate uptake rate was well explained by the simulation.

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