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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].

In 2006, Gao and Rowe [3] discussed the cooling performance of the refrigerator of the electric chip, and searched for the parts of potential improvement by using module simulation.
After the theoretical design and predictive estimation, the simulation test was conducted by using the software of FLUENT.
In the simulation, for consideration of the air convection and heat exchange between the external space and the air-conditioned space, the simulated values are relatively lower.
Coupled with the CFD software for the calculation of the fluid mechanics software, actual and simulation data were compared, confirming that the trends of the actual measurement data and the simulated data are the same.
Chen, A Study on the Numerical Simulation and Application of the Thermal Cooling Characteristics of Cooling Chip, master’s thesis, National Formosa University of Technology (2010)

By using CFD what is a special pre-processing software Gambit to establish model and dividing grid as show in Figure 4, the simulation software to read the grid using Fluent heat pump operation, for five years the change of soil temperature field.
The simulation runtime system physical parameters show Table 2.
Table 2, The thermal parameters of Ground-source heat pump system The initial temperature of soil（˚C） The initial temperature of soil W/(m·˚C) Soil density ( kg/m³) Soil specific heat capacity J/(kg·˚C ) Thermal conductivity of water W/(m·˚C) Water density kg/m3 Water specific heat capacity J/(kg·˚C) The single well heat (w/m) 12 2.573 2200 950 0.61 996 4200 25 Fig. 2, Engineering heat pump Fig. 3, The calculation area Fig. 4, Tube group soil system for well group arrangement tube group layout around the unit grid The simulation and analysis of dynamic The simulation time of ground source heat pump system for five years, according to the characteristics of climate and load of the Building in Changchun City, operation process of every year is divided into four stages, the first stage for heating conditions (October 25th - April 15th), the second stage is the heating conditions after the end of the natural
recovery (April 16th -5 months 31), the third stage is the cooling condition (June 1st -8 months 31), the fourth stage is the cooling after the end of the natural recovery (September 1st -10 months 24).The simulation and analysis of dynamic show figure5,figure6,figure7,figure8,figure9 and figure10.
Conclusions According to the simulation analysis on the operation of ground-source heat pump system: the soil temperature field has been basically balanced as the Ground-source heat pump system in 1 year operation, and as that proved the control area partition thermal compensation method for the proposed is feasible in severe cold regions.

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

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.

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].

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).

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.

By the mathematical simulation, fluid flow and heat transfer of molten-steel in a tundish of a billet caster under different conditions (bare tundish and tundish with flow control device) are analyzed.
Numerical simulations of are carried out with the finite-volume commercial code FLUENT using the realizable k-ε turbulence model.
The mathematical simulations were run on a INTEL CORE i7 processor computer with the Computational Fluid Dynamics (CFD) software.
The analysis of results of computations and numerical simulations enables the following conclusions to be drawn: 1) The use of turbulence controllers (with different geometries) in the working space of the facility under consideration significantly influences the values of particular steel flow shares within the whole tundish volume. 2) The proposed configurations of tundish working space furnishing result in a reduction of the liquid steel residence time, which positively develops the casting conditions. 3) An optimal tundish configuration is characterized by an increasing plug flow, with a decreasing dead flow.