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For mass transfer applications, CFD codes need the turbulent Schmidt number .
In order to analyse both equations (3) and (6 with 7), we will use accurate analytical formulations for TKE and eddy viscosity calibrated by direct numerical simulation (DNS) data.

Design and analysis of water turbine that used for wave energy power generation Shi Ming Wang1,a, Ya Nan Wang2,b and Ka Tian3,c 1Room301, College of Engineering, Shanghai Ocean University, No.999, Hu cheng huan Road, Lin gang new city, Shanghai, P.R.China 2,3Room402, College of Engineering, Shanghai Ocean University, No.999, Hu cheng huan Road, Lin gang new city, Shanghai, P.R.China asmwang@shou.edu.cn, bwangyananzc@126.com,c 799496533@qq.com Keywords: water turbine; wave energy; wave energy generation; simulation; analysis Abstract: In view of the current global energy shortage crisis, ocean wave energy is development potential renewable energy, which is gaining more and more attention.
It focus on the compose and generate mechanism of water turbine, and design structure of water turbine, and combine ocean wave theory and the flow control equation to analysis, through the method of machine design and FLUENT simulation, finally proved the water turbine had a high efficiency and has good application prospect.
Mesh generation is very important in CFD calculation.
Numerical modeling water velocity is 1 m/s, 1.5 m/s, 2 m/s respectively in simulation process, and blade rotate speed is 75 rpm, 110 rpm, 150 rpm corresponding.

Numerical simulation use Matlab software.
Time sampling simulation is in ¼ second.
Various of simulation condition.
The result simulation can be seen in Figure 1b, 2b and 3b.
Stern, Estimating maneuvering coefficients using system identification methods with experimental , system-based, and CFD free-running trial data.

Numerical Study of Pressure Loss in Ceramic Bed of Thermal Flow Reversal Reactor Gao Zhenqianga, Liu Ruixiang and Liu Yongqi School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, People’s Republic of China asdgaozq@163.com Keywords: thermal flow reversal reactor, ceramic bed, pressure loss, modeling and simulation Abstract.
This paper describes the use of a commercial CFD code, FLUENT, to model fluid flow in thermal flow reversal reactor (TFRR) for lean methane oxidation.
Modeling and simulation of fluid flow in TFRR are carried out and pressure loss in ceramic bed of TFRR was focused on.

The simulation is carried out in 3 dimensional directions.
Fellouah et al. [4] studied experimentally and numerically the Dean instability for Newtonian fluids in laminar secondary in 180° curved channel, the Fluent CFD code was used to solve the governing equations, the main purpose of this study is to determine criterion value of Dean versus curvature ration and aspect ratio.
Numerical Procedure The numerical simulation is carried out by using the commercial CFD package ANSYS-CFX.
Fig. 2: Typical grid used for simulation.
Mompean, Numerical simulation of viscoelastic Dean Vortices in a curved duct, J.

Heat transfer performance is investigated using Fluent computational fluid dynamics (CFD) package.
The computational fluid dynamics (CFD) software Fluent is used in this study.
In their simulation, a low-Reynolds number turbulence model was used for the fluid layer, while two different turbulence models modified from [10] and a laminar flow model were tested.
Figure 10 - Comparison of simulation and experiments for varying dj/dh.

Based on CFD software, the effect of five different ways of the placement were analyzed; according to experimental station, the effect of three cases were detected, which verified the correctness of the simulation.
Therefore, this study uses the numerical simulation to calculate the air current.
We observe whether the change law of the pollutant concentration in the center of the test chamber is similar to the simulation.
It is as same as the conclusion of simulation project that Project C is better than Project A, and Project A is better than Project E.
Conclusions We adopt numerical simulation method to analysis the impact of the purifier location to the pollutant concentration distribution .

This book covers these topics: Acoustics and Noise Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart Materials, Compressible Flows, Computational Mechanics, Computational Techniques, Dynamics and Vibration, Energy Engineering and Management, Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics and Machinery, Fracture, Fuels and Combustion, General mechanics, Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC, Instrumentation and Control, Internal Combustion Engines, Machinery and Machine Design, Manufacturing and Production Processes, Marine System Design, Material Engineering, Material Science and Processing, Mechanical Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New and Renewable Energy, Noise
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Tribology, Turbulence and Vibrations.

For our analysis, CFD method and preprocessing grid generator are used as our main analytical tools, and the simulation of rain is accomplished via two phase flow approach named as Discrete Phase Model (DPM).
An over head rain simulation system was constructed along a 525 ft section of the track.
In 2003, Wan and Wu [6] also conducted the numerical simulation of heavy rain effects on airfoil.
The simulation results are compared with the experimental results done earlier.
In our simulation we used LWC 0 g/m3, 30 g/m3 and 39 g/m3 rain rate cases.

Numerical Simulation Theory of Aerodynamic Noise S-A Model.
Large Eddy Simulation (LES).
LES method is a kind of turbulence numerical simulation between direct numerical simulation Reynolds averaging (RANS).
LES is become one of the main methods in the field of CFD at present, because LES make a compromise in accuracy and efficiency between the two methods above.
Large Eddy Simulation method is mainly used for complex numerical simulation of turbulence and for noise analysis widely.