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The paper studies on the variation of the gas flow pressure and velocity through the converter by the computational fluid dynamics (CFD) methods.
There are many CFD commercial software such as PHOENICS, CFX, STAR-CD, FIDIP and FLUENT, etc..
The pressure simulation results and analysis.
Conclusion This paper studies the gas flow pressure and velocity characteristics of the porous material by CFD method.  
Song CFD simulation of the effect of upstream flow distribution on the light-off performance of a catalytic converter Energy Convers.

CFD-based models.
Bastier et al [[27]] obtained the temperature distribution and plastic strain from a CFD based material flow steady state simulation results.
Colegrave et al [[28]] established a 2D planar steady state CFD model.
Atharifar et al [[32]] investigated the loads carried by a threaded FSW tool by using a CFD based steady state simulation model.
Dynamic mesh is employed in the numerical simulation in the CFD based numerical simulation to handle the motion of the FSW tool as shown in Fig. 2, the calculation domain is meshed using the tetragonal grid.

The flow field of the static tube is simulated and analyzed to get pressure coefficient Cp curve in flight test environment by using Computational Fluid Dynamics (CFD) technology.
Based on the simulation result and considering the impact of front and rear connectors, the main geometric paramters of static tube is determined and optimized.
Table 1 The Cp of different diameter of static port d/(mm) ΔP= Pi-P∞/ (Pa) Cp 0.8 320.3 0.0174 1.0 219.0 0.0119 1.2 346.0 0.0188 1.4 228.2 0.0124 1.6 347.9 0.0189 Fig. 7 Velocity distribution inside the static tub Comprehensive Simulation of Static Tube Parameters Based on the CFD simulation result data item, the parameter of the static tube is determined as follow: the length is 390mm; the static port location is 250mm; 6 static ports uniformly distribute along the circumference; the diameter of static port is 1.0mm; the inner and outer diameter are respectively 6.8mm and 10mm.
A simulation of the static tube with numerical computation method has been done to verify that the design of the static tube can accurately measure the static pressure of aircraft within the scope of Mach number.
The simulation result shows that, the Cp of the static tube designed is less than 0.02, which is higher than that of the airborne pitot static pressure measurement system.

Some researchers have studied the turbulence models including large eddy simulation for improving the numerical accuracy of the fluid simulation[1].
In this study, the unsteady simulations were carried out using a commercial CFD code – FLUENT, and moving mesh with a time step matched to rotaing angle of 15 degree was used for simulation the unsteady flow.
The CFD code was developed based on finite volume method which is one of the popular numerical methods[6-8].
Conclusions A numerical simulation model for 1kW wind turbine blade was constructed based on a commercial CFD code.
The developed model and simulation results have made a theoretical basis for simulation of wind turbine blade.

In contrast, it is relatively easy and cost effective to carry out a parametric study through numerical simulation and derive acceptable correlations for use in industry.
The CFD analysis is carried out using FLUENT 12.1, Colburn factor j and fanning friction factor f are calculated for different Reynolds numbers.
Description of the problem and geometry A total of 250 different fin surfaces are modeled and CFD analysis is carried out for developing correlations.
The fluid path has been modeled using CFD.
Figure 2 shows the temperature and pressure profile of a triangular fin at Re = 5000 based on the CFD output data.

China, 250061 aanyantao@163.com, b meywang@sdu.edu.cn, cwjg_mrn@sina.cn Keywords: control valve; blocking fault; Flow Field; CFD Abstract.
Establish interior flow field model of the control valves under the blocking fault, using the CFD simulation and analysis the internal flow field of the control valve under the blocking and the trouble-free.
These conclusions show that the simulation results can be more accurate and reliable.
Opening 40 Flow Field Simulations When the relative openings is 40%, given a set of differential pressure 100kPa, 200kPa, 300kPa, 400kPa, 500kPa, 600kPa, 700kPa, 800kPa, 900kPa, 1000kPa, numerical simulation and obtain the flow value of trouble-free and the blocking, which is shown in Fig.15.
Fig. 15 Differential pressure –flow Fig.16 Differential pressure-the relative flow Conclusions Establish interior flow field model of the control valves under the blocking fault, using the CFD simulation and analysis the internal flow field of the control valve under the blocking and the trouble-free.

Numerical Simulation of Campus Wind Environment Liu Richao1,a,Tang Zhonghua2,b,Qi Weiyang3,c 1,2,3Southwest University of Science and Technology , Mianyang .China a,b,cqtliujc2008@yahoo.com.cn Key words: Natural Ventilation, Wind Environment, Simulation Abstract: This paper adopted computational fluid dynamics (CFD) method, used k-ε RNG turbulence model-closed control differential equations for numerical simulation.
Computer numerical simulation Computer simulation is numerical solution of dynamic equation of the wind flow around the building following by computer (often called the computational fluid dynamics CFD:computational fluid dynamics),which simulates the wind environment.
Of course, the biggest shortcoming of numerical simulation is reliability- the credibility of simulation results.
Analysis of simulation results 4.1.
,Kim,S.CFD analysis of wind climate from human scale to urban scale.J.Wind Eng.Ind.Aerodyn.1999,81:57-81

The topology of these structures is challenging to investigate using Computational Fluid Dynamics (CFD) [4-5].
Therefore, in this paper, the flow characteristics of the directional control valve are obtained by CFD simulation.
Numerical Analysis and CFD Modeling For solving the transient flow through the valve, the computational fluid dynamics (CFD) analysis is employed.
In order to obtain the steady/transient flow characteristic of the valve, the simulations were performed using the commercial software SolidWorks 2013 with Flow Simulation.
Rajda, CFD analysis of pressure loss during flow by hydraulic directional control valve constructed from logic valve, Energ.

Internal Flow Field Analysis of Engine Intake Manifold Based on RE and CFD Caiyun WANG 1, Zhixia HE 1,Qian WANG1,Guojun ZHANG 2,Shuo WANG 2 1School of Energy Resources and Power Engineering, Jiangsu University, Zhenjiang 212013,China 2Beijing SinoFlowHytechInc.Ltd,Beijing 100083,China Key words: Intake manifold ,Reverseengineering,Numerical simulation，Structureoptimization Abstraction: The performance of the engine air intake system directly affect the working performance and fuel consumption, where the intake manifold design is the key.In this paper aimed at L91 Engine intake manifold ,firstly theRE(Reverse Engineering)technology was usedto rebuild the3d model of intake manifold.And then the internal flow zoneof the intake manifoldwas meshedin the pre-processing software ICEMand the internal flow fieldwas analyzedin the softwareof Fluent.The numerical model was verified by comparing the simulated and measured results.
Figure3.The velocity of four outlets for experiment and simulation Numerical Simulation and Analysis The relationship between the rotating speed of the fan and the intake manifold inlet velocity was shown in Table 2.Here to inlet velocity 14.684m/s as an example.Figure4 shows the simulated pressure distribution in the manifold, when different outlet opens, the variation of pressure in the intake manifold are basically same ,from inlet to outlet, the pressure value is gradually reduced.
By joining spoilerchanging inlet length.When using CFD to analysis , controlling the spoiler at an angle .Need to be aware of thatthe meshsize of spoiler is set to 3.5 mm.
Pressure difference at four outlets before and afteroptimization Figure8.Pressure field distribution Figure9.Velocity field distribution before(L) and after(R) optimization before(L) and after(R) optimization Conclusions CFD technology has been a kind of effective method to study the flow characteristics in the intake manifold.The change trend of the pressure and velocity in the intake manifold are similar.Flow Resistance losses of intake manifold with variable length is reduced and the air was distributedmore evenly.
Plastic intake manifold flow field based on CAD/CFD analysis and structure improvement [D].Weihai: Fan Aihua, 2010. 6-9 [2]Guowei, the engine air intake system of CFD analysis and experimental research [D].

Performance parameters The important performance evaluation parameters for Y-shaped diffuser are as follows [3, 4]: · Outlet pressure recovery · Coefficient of static pressure gain ideally · Effectiveness of the diffuser · Non-uniformity index Details of CFD outputs obtained and validation of the CFD code Figure 3.
Comparison of the values showed good agreement between the present simulation and the literature data.
Validation - comparison of Cps values Reynolds number Literature (Cps) Simulation (Cps) 1.37x105 0.62 0.602 2.74x105 0.63 0.619 5.48x105 0.635 0.633 Grid independency check Grid independency is an important requirement while doing any CFD problem using software or code.
The CFD code employing the standard k-ε model has the capability to predict the performance characteristics of the Y-shaped diffusers. 2.
B, Effect of angle of turn on flow characteristics of Y-shaped diffusing duct using CFD, 2010 IEEE – 978-1-4244-9082-0 [6] Anand R.