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Therefore, the numerical simulation model should describe the experiment model as accurate as possible and even slight differences may also result in greater differences in the simulation results.
Fig.2 Computational grid for the TAU0015 airfoil Numerical Simulation Validation First, the numerical results of airfoil are compared with experiments data of Seifert and CFD results of INS2D [9] program to verify the reliability of the calculation code.
Fig.3 Comparison of CFD results with experiment and INS2D program Fig.4 Cp comparison of CFD results with experiment data Flow Control Performance The numerical simulation was conducted on the TAU0015 airfoil with synthetic jet.
The CFD result agrees well with the experiment data and program.
Further exploring CFD-based gust response and gust alleviation.

This paper presents a simulation to investigate the effect of liquid’s viscosity on the flow field and hydrocyclone’s efficiency, using CFD technique and k-ε turbulce model.
The simulation calculates the two-phase flow under different liquid viscosity.
This paper, to explore how liquid’s viscosity affects the flow field and performance within a hydrocyclone, performs a simulation by changing the liquid viscosity and the particle volume fraction in the feed flow using CFD technique and RNG k-ε turbulence model[1-4].
Geometries and Simulation The hydrocyclone employed consists of a volute feed inlet, a cylinder, a cone, overflow tube and an underflow exit.
Fig.6 Pressure drop curve Conclusions This paper performs a simulation with CFX.

In this paper the heat transfer simulation of the gas-solid multiphase flow in ethylbenzene dehydrogenation catalyst kiln, heat conduction, convection and radiation involved, has been expressed by using the computational fluid dynamics (CFD) method.
With continuously increasing computer power, computational fluid dynamics software has made it possible that CFD methods can be applied to the heat transfer for the ethyl benzene dehydrogenation catalyst in the kiln.
Numerical Simulation of Heat Transfer in the Catalyst Drying Kiln Model.
Fig. 1 Whole computational domain Fig. 2 Mesh model The computational domains are discretized with the commercial CFD software.
Conclusion The paper presents a numerical method to simulate heat transfer for the ethyl benzene dehydrogenation catalyst in the kiln, and the simulation results indicate that the numerical method by applying commercial CFD software can effectively simulate heat transfer in the catalyst kiln.

Numerical simulation on rivulets around stay cable subject to wind Jihong Bi1, 2, a, Jian Wang1,b, Peng Lu 1,c and Chun Bao 1 1School of Civil Engineering, Tianjin University, Tianjin 300072, China 2Key Laboratory of Coast Civil Structure Safety (Tianjin University), Ministry of Education, Tianjin 300072, China ajihongbi@sohu.com, bavonlea@163.com, clupeng@tju.edu.cn Keywords: Rain-wind induced vibration, Stay cable, Rivulet, Two-phase flow, VOF method, Numerical simulation.
The effect of gravity and air flow on morphology of rivulets is analysed by numerical simulation using computational fluid dynamics (CFD) software-CFX.
Li et al. quantitative measured and analysed the geometry and dynamic characteristics of rivulets around cable when RWIV occurred using ultrasonic transmission thickness measurement system in wind tunnel test [4], and then obtained the time history response of cable aerodynamic force by hybrid approach combining experiment and CFD numerical simulation [5].
To simulate the formation of rivulets more accurately, this paper presents a numerical simulation approach by combining gas-liquid two-phase theory and VOF method for the first time.
This approach is then applied to simulate the formation process of rivulets around cable and analyse the effect of gravity and air flow on morphology of rivulets using CFD software-CFX.

3D Numerical Simulation of the Fluidized Bed’s Cold Distributor Hui Li 1, a , Xinhui Ma 2, b 1Huang He S&T College, Zhengzhou, 450063, Henan, China 2Xi’an Spaceflight Huawei Chemical biologic Engineering Co., Ltd, xi’an, Shanxi,710001, China afeng_109_1@163.com, b179321833@qq.com Keywords: Fluidized Bed, cold distributor, CFD, structural optimization.
Because of excessive pressure loss when the gas went through distributor in fluidized bed (FB), based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated.
So, based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated and the good advice was given on the structural optimization of the cold distributor. 3D Geometric Model In order to simulate the inner flow field more accurately, the simulation adopted the 3D model.
Fig.3 The mesh in the computational domain Simulation Results The pressure distribution with distributor and without distributor.
M., Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidized bed: a hard-sphere approach, Chem.

Steady state simulations were performed using three dimensional commercial CFD solver with appropriate boundary conditions.
Rahman et al. [2] modeled and simulated a typical kitchen using 3-dimensional CFD code.
Steady simulations were performed for all cases and allowed to run up to 1000 iterations.
Steady simulations were performed with adiabatic wall condition to compare the numerical results with the experimental data.
Good comparisons gave us the confidence that the current numerical method can be adopted for the kitchen ventilation simulations.

The geometries and their meshing of these simulations are shown in Figure 6.
The results of this simulation are used to estimate the heat flux for the different tubes.
(a) The geometry for the CFD simulation of the flow distribution inside the third header tubes, (b) the meshing for the CFD simulation of the flow distribution inside the third header tubes and (c) the meshing for the CFD simulation of the flow distribution around the third header tubes.
CFD simulation result: Velocity contour which shows non-uniform flow distribution inside the tubes.
CFD simulation result: Velocity on the different streamlines of the gas around the tube bundle.

CFD Analysis of Static Pressure on the Casing of Taker-in in Carding Machine Han Xianguo1, Sun Pengzi 2,a, Zhao Yeping1, and Cao Jipeng2 1School of Mechanical and Electrical Engineering, Eastern Liaoning University, Dandong, China 2School of Fashion and Textile, Eastern Liaoning University, Dandong, China akyc3@163.com Keywords: static pressure; casing of taker-in; carding machine; CFD analysis; FLUENT Abstract.
This paper gives a model of using CFD to calculate the airflow between taker-in and its casing in the A186 carding machine for researching static pressure of the airflow with FLUENT software.
However, it is rarely reported that using CFD research the airflow pressure between taker-in and its casing.
This paper introduces a two-dimension airflow model of CFD in FLUENT software for analysis of the airflow between taker-in and its casing.
Numerical calculation of CFD on the casing of taker-in Distribution of static pressure under different speeds The experiment was conducted under steady state conditions.

Ltd., Beijing 100083, China zxhe@ujs.edu.cn Keywords: Reverse Engineering, Exhaust passage, Cold ,Thermal , CFD, Discharge coefficient.
CFD Model and Numerical Grid The RE ( Reverse Engineering ) technology is used to reverse modeling L91 engine exhaust duct.
Simulations were performed with the air being both cold and thermal.
Comparison of simulation results with thermal and cold air.
Conclusions In this paper, CAD/CFD method was applied to the flow field analysis of engine exhaust port.

The hydrodynamics in a high and narrow turbulent fluidized bed of FCC particles is investigated by using computational fluid dynamics (CFD) method.
This paper focuses on CFD modeling of hydrodynamics in a high and narrow turbulent fluidized bed of FCC particles.
CFD model Eulerian-Eulerian approach has been used to investigate the hydrodynamics in fluidized beds.
CFD simulations are performed by using the commercial CFD code (FLUENT 6.3.26 software).
Fig. 2 is the comparison of the bed density in the axial direction between the simulation and experimental results.