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The numerical method used in this simulation is an unstructured staggered mesh scheme.
These studies all reflect the accuracy of LES in simulation.
In contrast, RANS is not ideal in simulation.
Large eddy simulation of the turbulent flow past a backward-facing step[C].
Turbulence Modeling for CFD [M].

It is validated that FLUENT simulation results closer to experimental values than SLAB and DEGADIS model simulation results.
After the simulation domain settled, the simulation domain discretization is illustrated in Fig.2.
Numerical simulation Coyote trials description Coyote series trials were funded by U.S.
And the SLAB’s simulation results were closer to FLUENT’s than DEGADIS’s.
Journal of Hazardous Materials, 2007:504-517 [5] Spyros Sklavounos, Fotis Rigas, Simulation of Coyote series trials—Part I:CFD estimation of non-isothermal LNG releases and comparison with box-model predictions, [J].

It is shown from both the experiment and simulation results that the mechanics performance of blade materials is lower than its national standard, which is due to much bigger gaps and some inclusions in the cast fan.
Firstly, we can get wind load force distribution of blades through the analysis on the flow of fans with computational fluid dynamics (CFD) software FLUENT.
Summate model response to get physical response: [ ]{ }ξφ=u （ 11） Simulation Results According to the experimental data, and meshing of the blade with PATRAN, which is divided into 826 tetrahedral elements, 1834 nodes, shown in Fig.3, we can find the former 100th natural frequency, natural modes and stress fringe by the means of NASTRAN, when blades are affected by wind loads and centrifugal force at the speed 980 r/min.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.553 [2] J.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.543 [10] K.W.

Oily Water Treatment Using Ceramic Membrane in Presence of Swirling Flow Induced by a Tangential Inlet via CFD Tássia Vieira Mota1,a, Helton Gomes Alves2,b, Severino Rodrigues Farias Neto3,c and Antonio Gilson Barbosa Lima4,c 1,2,3Department of Chemical Engineering, Federal University of Campina Grande, P.O.
Box 10069, 58429-900, Campina Grande, Brazil atassiamv@gmail.com, bhelton.02@hotmail.com, cs.fariasn@gmail.com, dgilson@dem.ufcg.edu.br Keywords: Ceramic membranes, separating oil/water, numerical simulation, CFX.
All simulations were carried out using the Ansys CFX ® commercial code.
Boundary Type Condition Supply Inlet Volumetric fraction of water = 0.9 Volumetric fraction of oil = 0.1 Inlet flow = 8.5 m³/h Filtrate outlet Outlet Static pressure = 99000 Pa Internal wall of membrane Wall All components of velocity null Walls of separation module Wall All components of velocity null Mixture outlet Outlet Static pressure= 98000 Pa All simulations were performed using the commercial package Ansys CFX adopting as stopping criterion the root mean square (RMS) equal to 1×10-5, with the aid of one Quad-Core Intel computer Dual Xeon Processor E5430 2.66 GHz with 8 GB of RAM.

In order to further understand the phenomena occur inside of the PDE chamber, the simulation had been conducted detailed in the literature [20].
Sies, Numerical Simulation of Confined Vortex Flow Using a Modified k-epsilon Turbulence Model.
CFD Letters, 2009. 1(2): p. 87-94
Sies, Numerical Simulation of Confined Vortex Flow Using a Modified k-epsilon Turbulence Model.
CFD Letters, 2009. 1(2): p. 87-94

As a study of natural gas engine, three-dimensional numerical simulations of diesel injection rates were conducted by using AVL FIRE code.
Zhang Jin. et al. [7] and Zhixia He et al. [8] studied the influence of different injection rate shapes on combustion process of direct injection diesel engines by using three-dimensional CFD software.
Physical Model and Grid The engine conditions used in simulations are provided in Table 1 and the fuel injection system parameters are showed in Table 2 [9].
The physical model and grid of the engine Simulation models For the above engine physical model, the diesel fuel engine was simulated firstly.
The simulation results of cylinder pressure were in good agreement with the experiment data, verifying the simulation models [10].

Keywords: Simulation, mass, heat, rough rice, ellipsoid, CFX.
According to Norton and Sun [6], CFD studies has been used to quantify physical phenomena in food industry such as sterilization, mixtures of compounds, drying process, storage and refrigeration.
This way, numerical simulation of the rough rice drying process provide one way to analyze the effect of different variables of grain, distinct drying conditions and provides answers on the drying kinetics that may contribute for more detailed understanding of the physical phenomenon of heat and mass transfer in solid mainly when the study is related to complex geometry.
Results and Discussion The values of relative humidity and temperature of the air, and temperature and initial moisture content (in d.b and w.b.) of the rough rice grain used in all the simulations, as shown in Table 2.
Table 2 - Physical parameters used in the simulations.

Decreasing aerodynamic drag for the truck becomes more and more important, which is investigated in this paper based on the CFD method.
A set of simulations for the original truck is carried out.
Fig. 4 Van Structure Parameters For each parameters list above, we take a set of RANS simulations.

Numeric Simulation of Gas-Dynamic Processes in the Swirl Combustion Chamber in STAR-CCM+ Igor Kuksov1, a, Sergey Mochalov2, b, Vladimir Sarychev3, c 1 Department of Corporate Technologies, Siberian State Industrial University, Novokuznetsk, 654007 Russia 2 Siberian State Industrial University, Novokuznetsk, 654007 Russia 3 Department of Physics, Siberian State Industrial University, Novokuznetsk, 654007 Russia aadmin@okt.sibsiu.ru, bspm@sibsiu.ru, csarychev_vd@physics.sibsiu.ru Keywords: swirl chamber, gas-dynamic processes, swirl flow, CFD simulation Abstract.
Simulation Setup The air is supplied to the header with the mass flow rate varying from 600 to 900 m3/hour.
Simulation of fuel particles was carried out by the Lagrangian phase.
Non-stationary Reynolds-Averaged Numerical Simulations (RANS) are used in calculations.
This approach was chosen because of its greater calculating efficiency with fair accuracy for a particular task in comparison with the direct numerical simulation (DNS) and large eddy simulation (LES).

By using the computational fluid dynamics code, FLUENT, Numerically simulation is investigated for Youngshou power plant.
Fig. 1 Physical model for Yongshou power plant Fig.2 Top view of computational zones Numerical model and boundary conditions.The commercial CFD code, FLUENT, which is based on the finite volume methods, solves the Reynolds-averaged Navier–Stokes equations for an incompressible fluid and the effect of turbulence on the flow-field is included in the application of the RNG-k-e turbulence model, and the boundary conditions is similar to [4] Results and Discussion The thermal field of air-cooled condenser.Fig. 3 and Figure 4 give the temperature nephogram and lateral middle section of unit.
China (122102210058), High-level personnel research start-up project of North China University of Water Resources and Electric Power (40203) References [1] Wanli Zhao, Experimental Research on Thermal Flow Field Characteristics of a Direct Air-cooled System for a Large Power Plant[D], Doctoral Dissertation, Beijing University of Aeronautics and Astronautics, Dec. 2008 [2] Wanli Zhao, peiqing Liu, Evaluation Criteria and the Generation of Thermal Recirculation of under the tower of Air-cooling System for Power Plant[A], 2007 Conference Paper of Annual Academic Meeting of Chinese Society of Theoretical and Applied Mechanics[C], Beijing: Chinese Society of Theoretical and Applied Mechanics, 2007 [3] Wanli Zhao, Peiqing Liu, Experimental Researches of the Effect of Environmental Wind on Thermal Recirculation under the Tower of Direct Air Cooled System [J], Journal of Power Engineering, 2008, 28(3):390-394 [4] Peiqing Liu, Wanli Zhao, Experimental Research on Wind Tunnel Thermal Effect Simulation