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Accurate prediction of flow field for such problem 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 to predict flows around bluff bodies in wind engineering.
Numerical methods A commercial computational fluid dynamics (CFD) code, ANSYS FLUENT, was used to perform present numerical simulations.
The above observations are well captured in present simulation as shown in Fig. 7(a).
Therefore, the wind-tunnel experiments and CFD can be used in synergy in practical wind engineering problems.

The simplified 2D geometry of reaction chamber(with a certain tilt angle θ=6°and 3 inch SiC substrate located in the middle of oblique base) is shown in Fig.1.A detailed analysis the chamber pressure, substrate temperature and inlet flow is made through the use of CFD and Chemical Reactions softwares, coupling fluid flow, chemical reactions and mass transfer process in the simulation of deposition course of SiC thin film.
We have done a series of simulations when chamber pressure is 5 KPa,10 KPa,15 KPa,20 KPa .
From the deposition rate curve can be seen in Figure 2, simulation results are consistent with the experimental conditions.
Similar simulation model are created when temperature in 1783K,1823K,1873K.
Conclusions This paper presents the analysis the influence of chamber pressure,the substrate temperature in the deopositon rate of SiC thin film by using the simulation software .The simulation result is shown in the Fig.2,Fig.3 and Fig.4.

As a heavily compute-intensive operation, the direct numerical simulation of viscoelastic fluid flows in large-scale industrial applications presents tremendous challenges for not only the modeling but also the framework of numerical simulations.
Fortunately, the explosive growth of high performance computing provides new opportunities for this kind of numerical simulation in recent years.
The numerical solver of viscoelastic fluid flows could be parallelized and extended to thousands of cores on large-scale HPC platforms with open source CFD frameworks, such as OpenFOAM, or commercial CFD frameworks, such as CFX/ANSYS, PHOENICS and STAR-CD, to obtain considerable speedup compared with the serial solver.
simulation.
Optimization Strategies As can be seen above, the abstract top level interface in OpenFOAM framework facilitates the programming and parallelization of viscoelastic fluid flow solvers, and fostered its wide acceptance in CFD community.

Analysis of oil-water-gas three-phase flow in a curved leaking pipe Boniek Evangelista Leite1a, Severino Rodrigues Farias Neto1, 2b, Antonio Gilson Barbosa Lima1, 3c, Ligia Rafaely Barbosa Sarmento1, 4d. 1Federal University of Campina Grande, Campina Grande, Brazil aboniek3@gmail.com, bfariasn@deq.ufcg.edu.br, cgilson@dem.ufcg.edu.br, ligiarafaely@hotmail.comd Keywords: multiphase flow, leak pipe, CFD Abstract.
All simulations were carried out using the Ansys CFX® 12.1 commercial code.
Methodology Mesh and geometry Figure 1 illustrates the geometry and the numerical mesh used. 4 m 100 mm 4 m In Curve Leak Out The computational fluid dynamics software used for numerical simulations conducted was Ansys CFX 12.0 and the construction of geometries and meshes were built using ICEM CFD.
The fluid properties used in the simulation of the oil leakage in a duct with a curve 90 are shown in Table 1.
Parameters oil water Gas ρ [kg/m3] 868.7 997.0 0.714 μ [Pa.s] 0.044 8.889x10-9 1.118x10-9 Bubble Diameter [µ] - 100 - droplet size [µ] - - 100 The boundary conditions used in the simulation of the oil leakage in a duct with a curve of 90 degrees are shown in Table 2.

The soot model integrated with the new auto-ignition models is then applied in multidimensional simulations.
The most recent approach is based on the laminar flamelet concept, solving so-called Representative Interactive Flamelets (RIF) on line to the CFD (Computational Fluid Dynamics) code.
The latter approach is the most detailed, but time consuming, and might be more difficult to incorporate in existing CFD code.
Next, the results of the simulations and the measured data are compared.
Figure 1 shows the computational grid used in the simulations containing 204,000 cells.

E-mall address: liming@ynnu.edu.cn(Ming Li) Keywords: Phase change energy storage; Melting; numerical simulation.
The thermal storage process of new heat exchanger and shell-and-tube heat exchanger which use paraffin as phase change material and use water as heat-transfer fluid can be simulated by CFD software, respectively.
Conclusions A novel heat exchanger was designed, and its thermal performance was studied by CFD software in this paper.
(In Chinese) [4] Dongsheng Zhu, Ting Xu, Shuo Yang.numerical simulation of fin-tube heat pump with phase change thermal storage[J]. fluid machinery, 2011, 39(6):53-58.
[8] Weibiao Ye, Dongsheng Zhu, Nan Wang, Numerical simulation on phase-change thermal storage/release in a plate-fin unit[J], Applied Thermal Engineering, 2011, 31(17):3871-3884.

While reviewing the status of CFD solvers in European aircraft design, Voss et al. (2002) survey the extent to which fluid/structure coupling had found its way into CFD analysis.
For example, simulations of a geometrically complex flexible transport have been reported by Pranantaet al. (2005) using the Euler code ENFLOW.
The nonlinear steady flow field data for the F-16 simulation were supplied by Navier–Stokes CFD.
CONCLUSION It can be expected that aircraft and engine designs will continue to rely on the synergistic use of simulation in conjunction with testing.
That complexity at least at the present time makes it unlikely that simulations will in the near future wholly replace testing.

Methodology The Computational Fluid Dynamics (CFD) computer code can be used as a numerical analysis to solve the governing equations.
In CFD, the fluid flow can be predicted through arbitrary geometries that giving solution of flow speed, pressures, flow pattern and etc.
The simulation is defined by axial and tangential velocity with the various SN and Re.
Promvonge, Numerical simulation of 3D turbulent isothermal flow in a vortex combustor.
Prediction of strongly swirling flow within an axial hydrocyclone using two commercial CFD codes, Chemical Engineering Science 62 (2007) 1619-1635

The method of manufactured solutions is used to examine the global discretization error and finally a comparison between finite volume particle method simulations of an incompressible flow around a fixed circular cylinder and the numerical simulations with the CFD code ANSYS FLUENT 14.0 is presented.
Simulation of incompressible flows is a very important topic in computational fluid dynamics [7].
Simulation of flows over a cylinder is a fundamental fluid mechanics problem of practical importance.
We chose an evaluation of FVPM data with CFD data for flow over a fixed circular cylinder at Reynolds number of 200.
Layton, Mathematics of Large Eddy Simulation of Turbulent Flow, Berlin, Springer Verlag, 2006

Results of the numerical simulation are compared with the experimental data.
Top row - CFD results, bottom row - experimental measurements.
Dots - experimental measurements, line - CFD results.
Dots - experimental measurements, line - CFD results.
Straka, Simulation of a 3D Unsteady Flow in an Axial Turbine Stage, EPJ Web of Conferences 25, 01090 (2012)