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Effects of the Test Models on the Supersonic Wind Tunnel Flow To analyze the influence of models in supersonic wind tunnels, simulations with the commercial CFD solver Star CCM+ from Siemens PLM Software were performed.
In Fig. 6, the total pressure curves of the best model support design and the worst model support design are compared with the simulation that contains only the test model without model support.
Fig. 6: Total pressure Curves of best and worst model support The total pressure curves of the simulation with the best model support and the simulation containing only the test model, are equal until to the position where the model support starts.
Fig. 7: Best and worst combination of the factors A, B, C and D Comparing the flow field of the simulations, with the model only and the best factor combination model support, the shockwave of the model is not influenced by the model support.
To evaluate the different factors, simulations with the CFD solver Star-CCM+ were computed for each model support design.

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.

A method was developed with coupling simulation by both software of DeST-h and computational fluid dynamics (CFD) in typical meteorological year (TMY) in Guangzhou.
There is not appropriate simulation tool to predict energy use of natural ventilated building, too.
In order to save the computer simulation time, a simulation method was pointed out, shown in the figure 2.
There were two kinds of wind environment simulation schemes due to the different occupant Figure 2 Simulation flowsheet behavior in the residential building.
Simulation of building cooling load.

Numerical Simulation of Flow and Heat Transfer with Large-eddy Simulation in a mixng T-junction Tao Lu1,a, Xingguo Zhu1,b, Ping Wang2,c,* and Weiyu Zhu3,d 1.School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing 100029, China 2 School of Energy and Power Engineering, Dalian University of Technology, Dalian 116024, China 3.China Petroleum Liaoyang Petrochemical Company, Liaoyang 111003, China alikesurge@sina.com, bzxg20055445@126.com, cwp2006@dlut.edu.cn, dlhbjbzwy@sina.com * Corresponding author Keywords: Numerical simulation, flow, heat transfer, large eddy simulation Abstract.
In the present paper, large-eddy simulation (LES) based on commercial computational fluid dynamics (CFD) software FLUENT for prediction of flow and heat transfer in a mixing T-junction was completed.
In this respect, CFD is a good way of predicting the mixing phenomenon in a T-junction and recent researches show that large eddy simulation has validation[1, 2].
Table 1 Calculation conditions Main duct Branch duct ΔT Ri MR u/m/s T/℃ Re Pr u/m/s T/℃ Re Pr 0.1 16.89 9213 7.66 0.2 11 7864 9.2 -5.09 -0.029 0.5 In this work, LES is used for the simulation.

With the development of calculation technique, CFD technology has been widely used.
Specifically, appropriate mesh generation is typically a major difficulty in CFD.
Numerical simulation result shows that the high order Lagrange interpolation may cause numerical oscillation.
Consequently, velocity support domain should be larger than pressure support domain in the numerical simulation model.
Calculation simulation shows a good agreement with the Fluent result.

Numerical simulations of spherical vertical-axis wind rotor Yongyu Huang1, a, Qiuyun Mo1, b, Xu Zhang1, Zupeng Zhou1 1School of Mechanical & Electrical Engineering, Guilin University of Electronic Technology, Guilin, Guangxi, China ahuangyy1022@mails.guet.edu.cn, bmoqyun@guet.edu.cn Keywords: Vertical axis wind rotor, Numerical simulation, Coefficient of wind power, Fluent.
This study will consider the output power coefficient Cp as target, and the numerical simulations for three different rotors having three blades as models of vertical axis wind turbines are conducted with CFD software.
Numerical simulation procedure Create model of blades.
Simulation results and analysis Different power coefficients have been applied to observe the rotational speed of the rotor.
Conclusions Three models of 2D and 3D are analyzed with CFD software by numerical simulation.

In this paper, we perform numerical simulation on CFD software.
Numerical simulation In this paper, we use the DN32 PE tube as U buried tube, and we use CFD software to simulate the change of soil temperature field under different moisture.
, we concluded the following: after the same period of time heat exchanging, heat effect of heat exchanger in experimental measure is wider than that in numerical simulation.
The main reason is that numerical simulation simplifies the pipe buried model in that field experiment is affected by many other unknown factors.
In this way, there are some disagreement between the simulation and the field experiment.

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.

By applying the FLUENT software of CFD, a three-dimensional model about the V-cone flow meter is built.
The effect of technical parameters on flow in the V-cone flow meter field has been studied by using computational fluid dynamics (CFD).
The simulation outflow coefficient is relevant to the parameter of the effective diameter ratio β, the diameter of pipe D, front-cone angleα and back-cone angleθ.
By calculating the Reynolds number of the smallest entrance velocity, it can be figured out that the flow field of the numerical simulation is turbulence.
Conclusions The simulation outflow coefficient formula is relevant to the parameter of the effective diameter ratio β, the diameter of pipe D, the front cone angleα and the back cone angleθ.

CFD Simulation for Displacement Deep-vee Vessels on Resistance Influence Factor XIE Yi1, a, XIA Xiang-dong2 1,2College of Naval Architecture and Power, Naval University of Engineering, Wuhan 430033, China a datou-1977@163.com Keywords: Deep-Vee vessels, resistance, RANS equations, CFD.
According to the methods of geometric model generation, grid of meshing, computational domain and boundary conditions setting, numerical simulation of the 3D viscosity flow over eight deep-vee vessels are calculated in this paper.
As can be seen from two figures, the numerical results of total resistance shows a fair agreement with experimental data at numerical simulation velocity range.
SUN, et al: Numerical simulation of free ship model towed in still water.