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Here, we use the DEM – CFD coupling approach to simulate the gas-solid flow of a model BF, and then use the equations obtained above to calculate the impact energies of the flow.
The results indicate that the distributions of the energies can be determined by means of the information obtained in the DEM – CFD coupling simulations.
Tanaka, Discrete particle simulation of 2-dimensional fluidized-bed, Powder Technol. 77(1993) 79-87
Subramaniam, Particle-resolved direct numerical simulation for gas-solid flow model development, Ann.
Yu, Discrete particle simulation of particulate systems: A review of major applications and findings, Chem.

Thermal simulation is the basics of this method, which calculated the case temperature of each device in astronautic electronic products.
Thermal Simulation.
Thermal simulation is on the basis of the digital model of astronautic electronic products.
Many commercial computational fluid dynamics (CFD) tools, which can predict the heat transfer in and around electronic products, can be used to assist thermal simulation.
By the CFD tools, the case temperature of each device in the digital model can be separately calculated under the ambient temperature of -54, -35, -25, -10, 50, 60, 70, 71 ℃.

Numerical results can reflect the true hydrostatic bearing fluid movement, the actual simulation results provide a theoretical basis for optimization design of the Engineering hydrostatic bearing oil cavity.
In this paper, heavy duty lathe DVT500 is treated as a research object to conduct simulation analysis with the application of CFD popular software FLUENT ,in order to get a more accurate pressure field, temperature distribution of the oil film.
As the structure of the hydrostatic bearing is symmetry, the simulation only uses one-twelfth of it to conduct the research, as shown in Fig.4, the model should be saved as *. sat format when finished.
Fig. 2 DVT500 model Fig. 3 Oil pad model Fig. 4 Experimental model Fig.5 Mesh grid Experimental simulation Import the meshing grid, which is build by Gambit, into CFD software Fluent.
(3) Experimental data from the simulation experiment is basically consistent with the actual measurement data for heavy hydrostatic bearing and provides the theoretical basis for optimal design.

[3] has carried out CFD study on heat transfer and fluid flow due to buoyancy forces in a partially heated rectangular enclosure filled with nanofluids.
Table 2 shows the properties of nanoflid (Al2O3- water nanofluids) and water that has been used for simulation purpose.
A comparison for wall temperature distribution between the existing experiment [8] and CFD results has been shown in Fig. 3.
It can be seen from the Fig. 3 the experimental result match reasonably well with the CFD results with a maximum difference of 3%.
A comparison between present CFD results with experimental result Fig. 4: Variation of wall temperature along 4 finned micro-channel as a function of different height of fin.

Fig. 2: Gambit grid GAMBIT was designed to help analysts and designers to build computational fluid dynamics CFD model of grid-connected and other scientific applications of the software.
Pretreat with CFD analysis of quality-oriented, its main features include geometric modeling and mesh generation.
Because of its inherent power, as well as rapid updates, it ranked upstream in all pre-CFD software now.
Through analysis and simulation, device meets the design requirements, there are many aspects need to be tested.

So, numerical simulation of the liquid-solid two-phase flow field in discharge gap is conducted.
CFD Model DPM Model.
Fig.1 Configuration of layer-by-layer EDM milling Fig.2 3D geometry model of flow field Simulation Results and Discussion In simulation, the inner diameter and the outer diameter of the electrodes are 0.3mm and 1mm, respectively.
The data of nodes which lie in this line are exported from the simulation results.
Fig.9 Influence of dielectric inlet pressure on TWR and MRR Conclusions CFD model of dielectric fluid field in EDM milling was developed to predict the pressure contours, velocity contours, and debris concentration contours.

Abstract: In order to understand the relationship between the number of blade and the performance of the self-balance multistage centrifugal pump’s first stage impeller internal flow characteristics, Reynolds Navier-Stokes equation and turbulence model are used for numerical simulation.
The objects of numerical simulation are five self-balance multistage centrifugal pump’s first stage impellers, the blade number of them is 4，5，6，7，8.Under the rated flow ,the numerical simulation obtain five kind of impeller inner flow field distribution , Through the comparative analysis ,when the number of blade is 4,8,the flow of the impeller’s inner and pressure distribution become chaos ;And, the number of blade is 5,6,7, With the increase of blade number, the impeller internal flow are smoother，the head and efficiency are enhanced correspondingly.
In the recent years, with the development of computer technology and fluid dynamics (CFD), making use of CFD for simulating the hydraulic part of pumps has become an important method for optimization design of the pump.
In order to the truth of simulation, the number of the grid in the inlet of the blade, should be increased.
The media for simulation is clean water, whose density is 998.2 kg/m3, and whose kinematic viscosity is 0.001003 kg/(m.s).The convergence precision is set to 10 e -5.

ANSYS CFX simulation software was used to determine the temperature fields.
Numerical simulations of temperature fields will be performed on the transport container with C-30 type designation.
A container with a flow of water and nitrogen within the casket was considered during the performance of numerical simulation.
[3] Z., Michalec, B., Taraba, M., Bojko, M., Kozubková, CFD modelling of the low-temperature oxidation of coal.
[8] M., Bojko et al, Characteristics of a mathematical model of the spiral heat exchanger using CFD ANSYS Fluent, Liberec, 2011. p.,17-19

The optimum design of the passageways is then verified using CFD-ACE + software, numerical results indicate that passageway with six helices performed better in the uniform surface roughness than others' do.
While most research has been purely numerical analysis or experimental method, few studies have predicted the polishing results via tests and simulations during AFM.
The active grain density on a medium's surface was also determined by stochastic simulation [13].
In this study, the power law of a non-Newtonian flow is adopted to determine the relationships among viscosity, the shear rate and the temperature using CFD-ACE+ software.
Figure 5 summarizes the simulation results for velocities and strain rates of the abrasive medium in axial direction.

Introduction The use of computational fluid dynamics (CFD) for flow through porous media is a realistic and feasible alternative to the experimental approach, due to the opacity of most materials [1].
There are examples of DNS simulations of flow through porous media (e.g., [2]-[9]).
Typically, relatively simple geometries are studied with two different numerical approaches: Lattice-Boltzmann methods or conventional CFD methods using boundary fitted grids.
The simulation of the flow through a staggered array of square cylinders was also performed.
Mohd-Yusof: Combined Immersed Boundaries/B-Splines Methods for Simulations of Flows in Complex Geometries (CTR Annual Research Briefs 1997)