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Fig 1 Size chart Temperature and pressure distribution of miniature thermoacoustic refrigerator The simulation use standard turbulence model for numerical analysis with software Fluent6.3, use moderate turbulence density and the setting fit the vast majority of simulation[6].
The simulation results are shown below, Figure2 shows the pressure distribution inside the refrigerating machine, Figure3 shows the pressure distribution inside the refrigerating machine.
Fig 4 Thermal stress contour Conclusions A miniature thermoacoustic refrigerator is designed, and use CFD software Fluent6.3 to simulate it, The temperature distribution and the pressure distribution of the stability of the miniature thermoacoustic refrigerator is derived when it stably operate.
(In Chinese) [4] H.L.Shi: Mechanical and Electrical Information, Vol. 58(2010) No6,p.39 (In Chinese) [5] S.S.Sun,F.Z.Zhang and F.Y.Song: Cryogenics, Vol. 161 (2008),No1,p.14-18 (In Chinese) [6] L.H.Xie,X.Y.Zhao and J.M Zhang:ANSYS CFX Analysis and Simulation of Fluid.

Even though the famous CFD numerical simulation software is used widely in the research field of pollutant diffusion, the operation of the software is professional and requires strong theoretical knowledge, it is difficult for laypeople to use.
Then, authors develop new pollutant dispersion simulation software with friendly and simply operating interface, and study air-makeup systems and full exhaust systems according to the simulation results.
The main functions of the software are as follows: the concentration distribution simulation of CO, CO2 and TVOC; the diffusion exergy distribution simulation; the exergy intensity distribution simulation, and the multiple exergy intensity simulation.
Simulation Results and Analysis The multiple exergy intensity distributions in the kitchen under the four schemes are simulated by the simulation software.
The simulation results are shown in Fig. 5 to Fig. 8.

On the other hand, numerical simulation has become a very important and powerful tool for investigating and understanding complex flow phenomena in science and engineering.
Over recent years more and more efforts have been made to investigate metal melt flows, both one- phase and two-phases, by numerical simulations [6-9].
The three dimensional two-phase CFD model described above was solved using the commercial flow simulation software FLUENT 6.1 as well as a number of user-defined routines, which include implementations of computing interphase forces.
To keep a lower computation cost, all simulations of this work are carried out with the cell number of 105.
The results indicate that For CFD modeling of complicated two-phase flow with rotating boundary as studied in this work, the MRF method is a suitable and efficient tool, which provides reasonable predictions with relative lower cost.

This article analysis the computational simulation of wood's gasification in a bubbling fluidized bed reactor.
The model used for the simulation was the computational fluid dynamics (CFD), by means of an open-source program named MFIX (Multiphase Flow with Interphase eXchange).
The fluidized bed reactor utilized in the simulation, [12].
The Figure 2 highlights the inertia of a fluidized bed and the need for long real time simulations in order to get steady state results.
However, char amounts within the reactor are the only variables which show a still transient behavior at the end of the simulation.

In the present work, we conducted a numerical simulation of flow and sediment transport and deposition in a meandering river.
The objective of this work was to develop a CFD methodology for the analysis of the sediment transport for different longitudinal slope in a meandering river.
The CFD package Fluent 6.2.16 was used for the case study for the effect of meandering river slope on the deposition rate.
Governing equations The basic equations solved in the CFD calculations are those describing the fundamental laws of fluid motion, namely, conservation of mass, momentum and energy.

Nookuea et al. carried out the simulation of CO2 absorption using cascade mini ring packing [5].
These researches used Aspen Plus as a simulator and produced simulation results in the absorber output.
Results and Discussion The operating parameters used in the simulation are shown in Table 1.
Simulation results show that convective flux is about ten times higher than the diffusive flux.
Drobniak, CFD modelling of CO2 capture, Chem.

After the numerical simulation, the best structural parameters of fin are received.
The speed of 2.5m/s was selected in numerical simulation.
The numerical simulation cell of model Numerical Simulation and Analysis The type of fins can influence the efficiency of air-condition.
In this numerical simulation, four parameters of fins is optimized, those are fin thickness, fin height, distance between two fins and the shape parameters of fins[5].
[5] Thomas Perrotin,Denis Clodic.Thermal-hydraulic CFD study in louvered fin-and-flat tube heat exchangers.International Journal of Refrigeration.2004,27:422-432.

A three-dimensional coupled fluid-thermal finite element simulation model has been developed to provide analyzing distribution of velocity and temperature of nine-spacer nozzle by using FEM simulation of FLOTRAN module in ANSYS 6.0.
Accurateness means that a result from simulation could be directly used to design or optimize flow field of a real nozzle’ shape, besides to discuss.
So accounting of nozzle’s flow field will yield more accurate simulation results of coupled fluid-thermal finite element simulation model.
Conditions of Simulation for the Finite Element Analysis Fig. 2.
Multiphase Phenomena and CFD Modeling and Simulation in Materials Processes Symposium. (2004), p. 325-34

Numerical Simulation Flash boiling spray model is applied in open source CFD software KIVA-3V.
Fg.5 Images of n-hexane sprays (experiment V.S. simulation) (Left) Fg.6 Images of ethanol sprays (experiment V.S. simulation) (Right) Spray characteristic was compared in Fig.7.
Only the spray jet on the imaging plane were taken into consideration in simulation.
Hence simulation results were reasonable.
Simulation in this paper was lack of specific nozzle outlet conditions.

Introduction The most important factor in the erosion of hearth is the circuiting flow of hot metal liquid while the mainly erosion in modern blast furnace is the erosion of elephant foot shape[1].Due to the dead-man zone in the center of hearth,the flow situation is so complicated that it can not be probed ,which needs to be calculated by mathematical or physical simulation,resulting that the consideration about the impact of sponginess in dead zone on the iron liquid circulation is essential.The word had been work as follows:Koki NISHIOKA and Taihei NOUCHI researched on the influence of the factors of diameter,position and shape of particles in dead zone on the drainage speed of iron slag[2,3,4];Sun Tianliang and Cheng Susen from Peking University of Science and Technology had made use of the CFD software to simulate the flow of iron liquid in hearth[5,6].In this essay,the research on the furnace of 1083 m3 in certain factory is done.The research is based on the related theory of the
Numerical simulation is conducted by ANSYS-CFX fluid simulation tool, it provides the standard N-S equations based on finite element method,which divides computing zone to 3D tetrahedron grid and the grid number is about 200000. the dead-man column in hearth is set as porous media, only the hot metal flow is considered in the process of simulation, and the hot metal temperature is constant.