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Numerical simulation.
Large CFD commercial software FLUENT (Zhou2009) use many models such as Spalart-Allmaras, Standard k −ε , RNG k −ε, Realizable k −ε , Standard k −ω , SST k −ω and RSM.
CFD Numerical Simulation Control equations.
The mean wind pressure distribution characteristics numerical simulation in saddle roof” J.
[5] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].

Analysis and Simulation of Flow Field in the Ultrasonic Auto Backwash Filter Jun Xie1,a, Lijun Shan2,b 1School of Mechanical Engineering, Dalian Jiaotong University, China 2School of Mechanical Engineering, Dalian Jiaotong University, China a xiejun420123726@hotmail.com, b S2002LJ@yahoo.com.cn Keywords: Ultrasonic filter, Numerical simulation, CFD, Flow field, Solid-liquid Separation Abstract.
In this article, we analyze internal flow field of the filter by computational fluid dynamics (CFD), and research the influence of flow field by operating conditions of the filter and internal structure, for providing theoretical basis for the design of high efficiency filters.
Conclusions (1) Flow field in the filter is analysed by using CFD, then we can know pressure of flow field, velocity distribution, and differential pressure on both sides of the filter cores.
References [1] F.C.Zhang: Study of Numerical Simulation of Multi-tube High Efficiency Particulate Air Filters (MS., Donghua University, China 2006)
[5] Z.Z.Han, J.Wang and X.P.Lan: Simulation Examples and Application of FLUENT (Beijing Institute of Technology Press, China 2004)

Simulation Method The Essential of Coupled Analysis.
Based on outcomes in above 2 steps, CFD analysis is carried out one more time and more accurate results will be obtained.
Boundary Conditions In step 1, non-isothermal CFD analysis is carried out.
In step 3, non-isothermal CFD analysis is carried out based on outcomes in Step 1 and Step 2.
The evaluated area is set in the middle of the community to avoid the lateral influence of CFD simulation, and standard area of different piloti arrangement case is shown in Fig. 4.

It can be done by analyzing ADPI (Air Diffusion Performance Index), the distribution of air temperature, wind speed, RH (Relative Humidity), and DR (Draft Risk) to change the position of the AC supply supported by CFD (Computational Fluid Dynamics) simulation.
Outside conditions and in the Research Sample No. 29 floor 16 (South Facade) Simulation experiments by CFD (Computational Fluid Dynamics) Gambit program FLUENT version 2.2.30 and version 12.12 Anysys used in this research model and simulate the calculation of air temperature, wind speed, air pressure, and turbulence intensity.
Modeling in CFD Post Table 1.
AC position on the AC system: (a) AC Position 1 (Experiment) and (b) AC Position 2 (Experiment) Tables 1 and 2 show the thermal properties and boundary condition on CFD simulation.
Selection of AC position based on the possibility of AC position and when simulated in the CFD simulations can convergen.

Application of numerical simulation in SSD technology As a mature numerical simulation technology, computational fluid dynamics (CFD) model has been widely used in the study of flow characteristics in a certain condition.
In CFD, the water-flow geometry is divided into many small units which are employed to describe questions, and then quality, momentum, energy and solid concentration equations of each grid are established.
As a result, it is of great significance to study SSD technology with numerical simulation.
Based on CFD software, calculation program which is used in the process of sediment stir and mixing is developed, preliminarily researching on its numerical analysis.
Convection and diffusion model [5, 6] based on classical diffusion theory is traditionally adopted to study numerical simulation of sediment movement.

In this study, computational fluid dynamic (CFD) numerical simulation and experimental investigation were used to predict and valid the flow pattern with different geometric housing and operating conditions.
As for the performance determination, not only the predicted result of airflow rate is compared with test measurement, but also the visualization of flow pattern at different operating parameter is conducted with the aid of numerical simulation.
The numerical calculation and visualization analysis are carried out using the CFD software Fluent [6].
This study simulates the complex flow patterns for the hidden ceiling-fan by utilizing the commercial computational fluid dynamics (CFD) software Fluent [6] to solve the fully three-dimensional incompressible Navier-Stokes equations with the standard turbulence model.
Fig. 3 demonstrates the flow patterns of the hidden ceiling fan with and without the fan guard condition in the CFD; meanwhile, the horizontal planes below the blade of 0.25m, 0.5m, 0.75m and 1m are chosen to show the airflow distribution.

Based on CFD, the flow field was calculated and analyzed with different quantities of horizontal deflectors and inclined deflectors in the separator.
CFD Computation and Analysis of Separator Analysis of Horizontal Deflectors’ Effect.
Fig.5 CFD Computing Graph When the quantities of Inclined Deflector is 3 a.
The optimal quantity is 3 by simulation in this paper.
Numerical simulation and experimental study on flow field of gravitational separator.

As the turbulence model is important to the validation of flow field simulation, it can influence the precision of wind speed prediction.
In this paper, the wind speed at the hub height is predicted by flow field simulation based on the CFD (Computational Fluid Dynamics) model.
To improve the accuracy of CFD model, two different turbulence models are employed.
Calculation Procedures The flow field simulation was accomplished by the commercial software.
Spalart, “Strategies for Turbulence Modeling and Simulations”, International Journal of Heat and Fluid Flow, Vol. 21 No. 2000, pp. 251-263, 2000

The Numerical Prediction and Safety Analysis of Alternative Fuels Leakage Accident during Storage and Transportation Zhongjie Wang1,a, Jue Ding1,b and Peifeng Weng1,c 1Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, China awzj630@163.com , bdingjue_lu@shu.edu.cn, cpfweng@mail.shu.edu.cn Keywords: Alternative Fuels, Leakage Accident, Fuel Diffusion, CFD, Safety Analysis Abstract.
By using the methods which combines safety system engineering and Computational Fluid Dynamics (CFD), the diffusion process of fuels leakage, and the damage area were analyzed quantitatively.
According to the CFD method and the safety engineering theory, the mathematical and physical models are established.
The processes of fuel leakage and diffusion are predicted by CFD method, then the damage area assessment is used to analyze fireball's heat radiation and the explosion risk of vapor cloud.
China Engineering Science. 2006, 8(4): 46-47 (In Chinese) [3] State Administration of Production Safety Supervision, in: Safety Assessment, edited by Coal Industry Publisher ( 2005) [4] Lixing Zhou, in: Turbulence Two Phase Flow and Numerical Simulation of Combustion, edited by Tsinghua University Press (1991) [5] Ping Li, Jue Ding.

Gulawani et al [9] who studied direct contact steam condensation as application to steam jet injectors, and direct contact feed water heaters using CFD.
Supersonic Nozzle Schematic Diagram [4] Problem Description In this study the simulations are performed on a computational domain of cylindrical vessel whose diameter is 0.05m and the nozzle used here is shown in figure 1.
This nozzle is fully capable to provide the supersonic injection as can be seen from the preliminary CFD result in figure 2.
Conclusions In this paper a CFD analysis of the supersonic steam jet injected inclined to the cylindrical vessel is done.
Jyeshtharaj, B.J., Manish, S.S., Chaganti, S.R., Daya, S.S., CFD analysis of flow pattern and heat transfer in direct contact steam condensation, Chem.