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By the CFD(computational fluid dynamics) simulation, firstly, the pressure distributions of the flapper face and the fore end face of the nozzle are obtained.
T. [3] did some simulation research on hydraulic bridge of water hydraulic valve by CFD software, and got some results on the flow force of the flapper different from the present paper.
Software Simulation of the Hydraulic Bridge Based on the formula deductions above, the simulation model is therefore established to compute simplified hydraulic bridge.
Fig. 3 Simulation model of the hydraulic bridge Fig. 4 shows the relationship between flapper displacement and differential pressure of spool ends which is implied in Eq. 9 and simulation data points obtained by CFD software.
These data points are obtained by software simulation and the curve is plotted by data fitting.

Gas-solid flow behavior of the bottom zone of a 65t/h High-low bed CFB was simulated using the commercial computational fluid dynamics (CFD) software package Fluent.
Nowadays, with the enhancement of computer performance, CFD models have enjoyed great development.
Yu qing feng [4], Wang qinggong [5] study the gas-solid two phase flow of High-low circulating fluidized bed via numerical simulation with EEM model. 2D CFD simulation of gas-solid flow profile of the bottom zone of the High-low bed CFB is performed using EEM incorporating the kinetic theory of granular flow in this study.
Simulation Settings The 2D geometry of the dense zone is shown in Fig. 1.
In addition, a constant time step of 5e-4 s was used, and the simulation was performed for 5s of real fluidization time.

The result of the CFD simulation shows that the local Knudsen number in the engine boundary layer is greater than the critical value with the operating conditions 40Km/Ma8 and 30Km/Ma8; they are non-equilibrium flow and the Navier-Stokes equations fails.
CFD Simulation The Australian Hyshot scramjet engine [3] is used as the model engine here.
Star-CD 4.08 is chosen as the CFD simulation tool.
In contrast, for low altitude and low speed flight such as 20Km/Ma8 case, the boundary layer satisfies the local equilibrium assumption, the regular CFD simulation is valid.
Wilcox: Turbulence Modeling for CFD, Second Edition, DCW Industries.(1998)

Computational fluid dynamics (CFD) simulation is one of the most valid methods to investigate TiCl4 gas phase oxidation.
CFD analysis becomes one of the most important tools in aerosol area and is used by many experimentalists who would previously rely on experiment to uncover fluid phenomena [1], they now use CFD to achieve their goals more rapidly with less cost.
However, the CFD simulation study based on the theory of fluid dynamics is not involved.
CFD: Progress and problems.
A coupled CFD-population balance approach for nanoparticle synthesis in turbulent reacting flows.

CFD Modeling of Urea-SCR Converter Geometric Model and Mesh Generation.
The CFD mesh generated with ICEMCFD was imported into CFD software FIRE to calculate.
Simulation Results and Analysis The flow field and concentration distributions of SCR system in A50 condition were analyzed.
The CFD model of full scale SCR system with a simple blade SCR mixer was shown as Fig. 9.
Terres, Optimization of Catalytic Converter Gas Flow Distribution by CFD Prediction.

Numerical Simulation of the Flow of Inflatable Cover Based on FLUENT Jianhua Wang1,a, Changzhi Xiao 1,2,b, Jinghui Wang 2,c, Ligang Cai 1, Lishui Cui2 and Tiejun Wang2 1Beijing University of Technology, No.100, Pingleyuan, Chaoyang District, Beijing, P.R.China 2National Institute of Metrology P.R.China, No.18, Bei San Huan Dong Lu, Chaoyang District, Beijing, P.R.China awjh@bjut.edu.cn, bxiaocz@nim.ac.cn, cwangjh@nim.ac.cn Keywords: blackbody radiation source, inflatable cover, CFD simulative, FLUENT Abstract.
This paper presents a new way for performing numerical simulation for the three-dimensional inner flow field analysis of new inflatable cover and blackbody radiation source cavity by using the FLUENT software of CFD.
The experimental test results were consistent with the simulation results to verify the accuracy of the simulation.
Summary This paper performed numerical simulation for the flow field of inflatable cover and blackbody radiation source cavity by using FLUENT software of CFD to acquire the characteristics of pressure, velocity and temperature of the cavity which then had a detailed analysis and description, and then with the acetone tracer particles experiments verified the accuracy of the analytical results that revealed how the outside air entered into the cavity to cause the frost, dew and mist, these can shorten the development cycle of new inflatable cover.
Fujun: Computational Fluid Dynamics Analysis-Principle and Application of CFD Software (Tsinghua University Press, Beijing 2004)

Two detailed time-dependent axisymmetric computational fluid dynamic (CFD) models of the OPTR to predict its performance was considered.
The governing equations and the boundary conditions (in accordance with table 2) were solved using CFD-ACE.
Porous media parameters used in the simulation.
It can be seen in CFD-ACE numerical simulations the cooling level higher than in Fluent models.
[11] ESI-CFD-Inc., CFD-ACE V2009.4 User Manual, ESI Group, Huntsville, AL, 2009.

Internal flow study In this paper, a three dimensional numerical simulation of the complete unsteady flow on the whole impeller-volute configuration was carried out using the CFD code ANSYS CFX.
The CFD simulation process began with a steady flow calculation using the frozen-rotor approach.
Spectrum of pressure fluctuation (20Hz-2KHz) Vibroacoustic simulation A FEA casing model was constructed in ANSYS.
An interpolation algorithm was used to project the CFD pressure onto the FEA casing model.
This approach splits the aeroacoustic simulation problem in two steps: (1) Solve the turbulent flow with the CFD methods. (2)Based on the flow information provided by the CFD codes, define equivalent sources and take into account the noise radiation with computational acoustics method.

The study was carried out using Computational Fluid Dynamics (CFD) for various sideslip angles (b) and various flaps deflection angle (dT).
The simulation was conducted at 0.1 Mach number (~35 m/s) and results in terms of coefficient such yawing and rolling moment are tabulated in order to determine the stability of the aircraft.
This paper presents about yaw stability of UiTM’s BWB aircraft that was analyzed using CFD simulation.
lU lD Y Fig. 2: Relation between side force, drag force, yawing moment and moment arm CFD Simulation Yaw stability investigation was done using Computational Fluid Dynamics (CFD) simulation approach.
This model was imported into CFD software to run the simulations.

Simulation Analysis on Wastewater Anaerobic Tank Stench in Collecting Hood with Properties of Environmental Materials Zhao Du1,4,a, Ning Du2,b, Yujie Chen3,c 1School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, People’s Republic of China 2Shijiazhuang Light Industry Technical School, Shijiazhuang Hebei 050051, People’s Republic of China 3Shijiazhuang Mechanic Technical School, Shijiazhuang Hebei 050061, People’s Republic of China 4Pollution Prevention and Control Key Laboratory of Biotechnology in Hebei Province, Shijiazhuang Hebei 050018, People’s Republic of China aduzhao12@163.com, b1311156002@qq.com, ccyj850620@163.com Keywords: Anaerobic Tank，Stench-collecting Hood，CFD Abstract.
Computational fluid dynamics(CFD) is an effective approach to study with standard κ—ε turbulent model.
CFD predominate results show that: the exhaust flow, tuyere pressure, velocity and pollutant concentration had a greater influence on the flow field distribution.
Using fluent software module to the model of flow field simulation, the standard kappa epsilon - predominate turbulence model is a simulation indoor 3 d gas turbulence model is good.
Simulation results At z = 0.5 m above the liquid level of the static pressure contours (Fig.3) and velocity contours (Fig.4), the concentration of cloud image (Fig.5), Air – Pressure relation Curve (Fig.6).