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This paper carries out numerical simulation of three-dimensional flow field in mixing process by the compute fluid dynamics (CFD) software FLUENT, uses the multi-reference frame and standard k-ε turbulence model to simulate the density in three different conditions.
In this research the analysis is realized by numerical simulation: Numerical Simulation Model The stirring tank is feature with following characteristics.
Simulation Result The velocity of the impeller is 150rpm, according to real working conditions, three different conditions are analyzed as follows[5][6]: Working Condition One (sand-water ratio 20%) Fluid inlet velocity is 5.48m/s, sand input velocity is 0.2m/s.
Acknowledgments This work is supported by National High Technology Research and Development Program (Project Code: 2009AA063601) Reference [1] Hanchuan Wu and Wenjin Gao: Petroleum Machinery.Vol. 31 (2003), No.s1, p. 63-65 [2] Weetman RJ: Automated Sliding Mesh CFD Computations for Fluidfoil Impellers, Proceedings of 9th European Conference on Mixing, Paris, (1997), p. 195-202 [3] Han Zhanzhong, Wang Jin, Lan Xiaoping: Examples and Applications of Fluid Simulation Based on FLUENT, Beijing Institute of Technology Press, (2006) [4] Wang Junfu: Computational Fluid Dynamics Analysis – CFD Software Theory and Application, Tsinghua University Press, (2004) [5] Dong L, Johansen S T, Engh T A.: Flow Induced by an Impeller in an Unbaffled Tank-II, Numerical Modelling, Chem.
Sci., 49, p. 3511-3518 [6] Murthy J Y,Mathur S R,Choudhury D. : CFD Simulation of Flows in Stirred Tank Reactors Using a Sliding Mesh Technique.

Large Eddy Simulation of Aerodynamic Forces on a Bridge Pylon Xuyong Yinga, Fuyou Xub, Zhe Zhang and Yonggang Tan Faculty of Infrastructure Engineering, Dalian University of Technology, China ayingxuyong@sina.cn, bfuyouxu@hotmail.com Key words: Large eddy simulation (LES), Aerodynamic force, Pylon, Computational fluid dynamic (CFD), Reynolds averaged Navier-Stokes equations (RANS) Abstract.
Accurate prediction of wind loads on such structures using computational fluid dynamics (CFD) is becoming increasing significant.
The techniques of CFD, such as large eddy simulation (LES), Reynolds averaged Navier-Stokes equations (RANS) model etc., have been widely used in wind engineering.
Thus, the results of the numerical simulation can be considered reliable.
From the present study, it is believed that the CFD simulation applying LES turbulence model can be successfully applied to the prediction of wind loads on a bridge pylon, whose wind tunnel tests are expensive.

Numerical Simulation of Turbulent Mixing for Dislocated Blades in a Stirred Tank Lei shi1,a, Shenjie Zhou1,b, Fengling Yang1,c and Fanjin Hu1,d 1School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China ashileishanda@163.com, bzhousj@sdu.edu.cn, cfly@sdu.edu.cn,dhufanjin2008@yahoo.com.cn Keywords: dislocated blades, mixing process, numerical simulation.
In this study, CFD technology was used to simulate the mixing process inside the stirred tank with dislocated blades and standard turbine.
In this study the CFD simulation was carried out with the MRF method, because the precision of prediction of flow field with using the MRF method is correspond to the calculations with the SM method, while less amount of calculation [7].
The standard k–ε model was also used for the simulation.
Conclusion According to CFD, the study of numerical simulation has been carried out in turbulent mixing process of the dislocated blades.

With the computational fluid dynamics (CFD) method, a powder dispersion tube was meshed in three different types, namely, tetrahedral, unstructured hexahedral and prismatic-tetrahedral hybrid meshes.
Results of the numerical simulation were compared with literature evidences.
Usually, numerical simulation work is a rather efficient way.
Thus, in this study, we investigated the effects of three commonly used unstructured mesh types, i.e., tetrahedral, unstructured hexahedral and prismatic-tetrahedral hybrid meshes, on the simulation results of computational fluid dynamics (CFD).
Chen, ANSYS ICEM CFD, meshing example and explanation.

Computational fluid dynamics (CFD) is an important applied research area of scientific computation visualization.
Aiming at the difficult for three-dimensional display in the post-processing of wrap-around fins’ flowfield with commercial CFD software, the visualization techniques of CFD were investigated.
But when applying in the visualization of CFD computational data, it becomes very fussy and has bad repeatability.
The important characteristic of CFD software is mighty repeatability, so this operate mode does not fit for the visualization of CFD computational data.
In the course of numerical simulation, computational results of pressure, temperature and so on status parameters were obtained from FLUENT with UDF program, and saved as *.dat file.

Numerical simulation has been carried out to investigate water separation from emulsion with new equipment designed by ourselves.
A commercial CFD code was used to solve the governing equations of the flow field.
Simulation results in the form of characteristic curves and an acceptable agreement were obtained.
Velocity distribution, pressure distribution and volume fraction distribution have been investigated by numerical simulation.
Reynolds stress model simulation have been calculated with different rotating speed.

Hence, with the development of computer and numerical method, more and more researchers started to use computer simulation to investigate.
In the computer simulation, most of them used the dynamic model to investigate the performances of various PRVs [4, 5].
CFD domain meshing valve Fig. 4.
The CFD Pressure Fields.
[4] Asok Ray, Dynamic modeling and simulation of a relief valve, SIMULATION, Vol. 31, No. 5, 1978, 167-172

A computational fluid dynamic (CFD) model was developed to study the fluid flow phenomena taking place in an industrial tundish.
Selected computer simulation results were validated with experimental data.
The CFD model included the Navies-Stocks continuity, and momentum governing equations.
All the equations were solved using a commercial CFD software-Fluent 6.3.
CFD modeling of liquid steel flow behaviors in industrial tundish: Third baosteel biennial academic conference, Shanghai, China: Sep 26-28, 2008

Ship Hull and Free Surface Panels Fluent CFD The commercial CFD software FLUENT version 6.2.16 is utilized for the computations in the present study.
A hybrid unstructured mesh consisting of about 1.7 million cells was generated for the present simulations.
This corresponds to a numerical simulation of the resistance or propulsion model test.
CFD could have saved considerable costs and times.
Both CFD codes, i.e.

A commercial CFD code STAR-CD based on the finite volume method was used applying the SIMPLE algorithm and a moving grid technology.
There are only a few reported results of numerical simulation on tunnel entry waves, yet none of tunnel exit waves until present.
A blocking structured hexahedron grid illustrated in Fig. 3 was generated using software ICEM CFD.
O-grid Fig. 3 The grid generated using ICEM CFD software Numerical methods.
A commercial CFD code STAR-CD based on the finite volume method is used.