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Three CFD-simulations were carried out, each of which had a different interfacial tension: 0.5, 0.75 and 1.0 N/m.
Other physical properties (i.e. density, viscosity) were not changed between the simulations.
Description of the CFD model Simulations were carried out as three phase modelling.
In order to model turbulence the large eddy simulation (LES) was employed.
Simulations were performed using commercial ANSYS FLUENT 13.0/14.0 CFD-code.

The comparisons showed a very good agreement between experimental and simulation results.
Over the last few years, there has been an increasing usage of computational fluid dynamics (CFD) to complement industrial design of fluidized applications[2].
Computational fluid dynamics (CFD) simulation results from a commercial CFD software package, Fluent, were compared to those obtained by experiments conducted in a fluidized bed containing spherical glass beads of 250–300 μm in diameter.
This result shows good agreement between experimental and simulation results.
It was possible to foresee by CFD simulation the minimum spouting flow rate and pressure drop with small deviations in relation to the experimental data.

Guangzhou, 510700 aljou@scut.edu.cn, bnanhuowu@gmail.com, cdeyu@scut.edu.cn Keywords: Ducted Propeller, CFD, Hydrodynamic Performance Abstract.
In recent years, compared with experiment research, numerical simulation has advantages of low-cost and short-cycle, and can obtain complete data and simulate the measurement of various data in practical operation process.
CFD is widely used in the numerical simulation of flow field.
Because of its adaptability and accuracy [1], CFD gradually becomes an important tool in hydrodynamic research and its application fields have gradually expanded.
In the CFD simulation of ducted propeller hydrodynamic calculation, in order to simulate the different non-uniform wake fields, the inlet is defined by UDF, and the averaged inlet velocity is 3.5m/s. 3.

Optimizing Leading Edge Structure for Aerosol Sampling Diffuser Baoqing Wang1,a, Shu Yao1,b, Zebei Wang1,c, Wen Yang2,d, Zhipeng Bai 2,e 1College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China 2Laboratory of Atmospheric Chemistry and Aerosol, Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China awangbaoqing@nankai.edu.cn, bmadkon@qq.com, c411173744@qq.com, dyangwen@craes.org.cn, ebaizp@craes.org.cn Keywords: Optimizing Structure, Diffuser Leading Edge, CFD Simulation Abstract.
The diffuser leading edge fluid was conducted using the CFD.
It is suggested that CFD simulation can be useful for improving the optimum the diffuser.
Fig. 1 Schematic diagram of the sampling diffuser Fig. 2 Schematic diagram of the leading edge for diffuser inlet Fig. 3 Schematic diagram of the leading edge for diffuser inlet and outlet Results and Discussions The fluid velocity fields are obtained by the boundary element method for a potential flow and by using the CFD code FLUENT 14.0 (ANSYS Inc.), for solving numerically Navier-Stokes equations for a viscous flow.

Simulation of 3D Gas-Liquid Two-Phase Flow Characteristics of Carrousel Oxidation Ditch Y.
Many literatures are about the simulation of oxidation ditches [1-4].
It is essential to include gas or solid in the simulation.
They predicted flow and oxygen transfer characteristic based on CFD.
,Oxygen transfer prediction in aeration tanks using CFD.

azhuying0224@yahoo.com, bwangyangzheda@126.com, ctommewang@yahoo.com.cn Keywords: Averaging Pitot tube, turbulent model, CFD numerical simulation, flow coefficient.
This paper set up the two-dimensional model of the bullet-shaped averaging pitot tube, numerical simulation based on CFD was used to investigate the changes of flow coefficient along with the Reynolds number.
To guarantee the accuracy of the simulation, the grid and the simulation model were investigated too.
Numerical Simulation Grid and Turbulent model.
Pandey, Analysis of the effect of body shape on annubar factor using CFD, Measurement, 35 (2004) 25-32

So, the method of numerical simulation has become more and more popular[4,5].
Fig.1 Geometry of the baseline and ejector nozzles Simulation of CFD The simulation of CFD is the basis of the IR computation and is calculated with FLUENT.
This method is based on the connectivity information of the CFD mesh.
The numerical simulation model of infrared radiation characteristics for the aeroengine exhaust system has been built and a code is developed with RMCM combining with the CFD calculation.
Backward monte carlo method simulation in radiative heat transfer.

The actual Tj was measured by an IR camera and compared with the simulation results from a computational fluid dynamics (CFD) software.
Figure 6 compares the Tj of the center chip (#5) obtained with an IR camera and CFD simulation software under a constant current of 350mA (9.92W).
The Tj for the center chip (#5) in the packaged structure, as determined with an IR camera and CFD simulation software under a constant current of 350mA (9.92W).
CFD simulation results for five high-power LED components with different packaging structures and heat slugs with varying thermal conductivity (50-450 W/mK).
CFD simulation results for the Tj of four differently sized chips in high-power LED components with different packaging structures.

A CFD simulation was carried out because of the following reasons: 1.
Time Efficiency: the CFD simulations is typically faster than building physical prototypes or conducting experiments.
Initial efforts to run the simulations on a computer with 4 GB RAM failed.
[14] Rek Z, Rudolf M, Zun I, (2012) Application of CFD Simulation in the Development of a New Generation Heating Oven, J.
[15] Misha S, Mat S, Ruslan M.H, Sopian K, Salleh E, (2013) The Prediction of Drying Uniformity in Tray Dryer System using CFD Simulation, Int.

ananodogy@yahoo.com.tw blinsiraya@yahoo.com.tw cta.yang168@msa.hinet.net Keywords: Stratified air conditioning design, Assembly hall, CFD Abstract.This study focuses on the performance of air conditioning design at the Dazhi Cultural Center and uses a computational fluid dynamics (CFD) simulation to discuss the differences in wind velocity and ambient indoor temperature between “all-zone air conditioning design” and “stratified air conditioning design”.
The study uses CFD simulation software to compare the indoor environment quality of the stratified air conditioning design with the all-zone air conditioning design.
Fig. 1 All-zone air conditioning design Fig. 2 Stratified air conditioning design (Blue arrows mean air outlets, red arrows mean return vents) Methodology 1) Study methods and tools Computational fluid dynamics (CFD) has been widely regarded as a useful tool in the building environment in recent years, so this study also uses CFD software to simulate the indoor air environment.
The all-zone air conditioning design The stratified air conditioning design Section A (21.0℃) (20.1℃) Section B (22.2℃) (20.5℃) Section C (23.5℃) (21.8℃) Fig. 5 Temperature graphs of three sections (The values are average temperature of seating and stage areas) Conclusion In this study, the three conclusions are as follows: 1) The simulation of the all-zone air conditioning design clearly shows that most cold air is wasted in the top space of the assembly hall.
However, as the distance between air outlets and people in the assembly hall is closer, the location of air outlets and return vents must be carefully designed to avoid excessive or inadequate airflow. 3) The results of CFD simulation comparison of the all-zone air conditioning design with the stratified air conditioning design under the same airflow volume reveal that stratified design is better in the wind velocity and temperature fields, it can increase 0.02~0.09m/s of the wind velocity and decrease about 2℃ temperature than the all-zone air conditioning design, They prove that the use of stratified air conditioning design in assembly halls is feasible and useful.