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Numerical simulation and analysis of 3-D internal flow field In mechanical turbulent coal pulverizer Wei Lv1,a , Zhi-yue Yao1,b , De-li Zhang1, Xin-hai Wang1, Xiao-nan Zhang1, and Zhong-xia Zhao1 1School of machinery and power engineering, Harbin University of Science and Technology, Harbin 150080, China aziyi2011@sina.com, byaozhiyue@sina.com Keywords: turbulent coal pulverizer; numerical simulation; pressure; velocity Abstract.In this paper, the computation fluid dynamics ( CFD) software FLUENT is applied to analyze the internal 3-D gas flow of the mechanical turbulent coal pulverizer impeller, especially on the pressure and velocity distribution.
Fig. 7 Pressure distribution of wall surface Fig. 8 Velocity distribution in z = 35 mm Fig. 9 Velocity distribution of tooth circle section Fig. 10 Velocity distribution of export section Conclusions In this paper , single-phase flow fields of coal pulverizer were investigated by numerical simulation.
Fluid simulation calculation example and application in FLUENT[M].Beijing:Beijing institute of technology press,2004:285—296
Numerical simulation of three-dimensional flow field of centrifugal fan[J].

Governing equations, turbulence and sound models Applying fluid dynamic CFD package Fluent™ Fluent Inc, this paper simulated the channel flow using superhydrophobic surfaces in 2D and unsteady state.
Based on transient flow simulation results (LES modeling is highly recommended for capturing wide band sound spectrum), time variation of acoustic pressure is calculated with the formulation of Lighthill's Acoustic Analogy.
Simulation results and analysis Receiver 1 and receiver 2 were two sensors which measured the sound pressure generated by superhydrophobic surface and plane surface respectively.
Since the distance of the two sensors were very close to their maching surface and the simulation was under 2d model, the absolute value of the sound pressure at that two point were very hign.
An analysis of superhydrophobic turbulent drag reduction mechanisms using direct numerical simulation [J].

The CFD (Computational Fluid Dynamics) software STAR-CD is used in the simulation.
As the development of the operating speed of computers and engines, multi-dimension CFD simulation codes are becoming an ever key tool in the research and development of engines.
The engine speed is fixed at 1500rpm/min in simulation.
This model could be used in simulation.
The simulation results can be summarized as follows: 1.

An orthogonal array, the S/N ratio, MPCI, ANOVA, and CFD were used to study the multiple-objectives in the ultrathin centrifugal fan design.
This study used an alternative approach based on the combination of CFD, the Taguchi method, and fuzzy logic to determine the optimal design parameters of the ultrathin fan.
Confirmation Experiments Confirmation experiments were performed to test the fuzzy-based Taguchi method design of the centrifugal fan, which used CFD software, Solidworks Flow Simulation.

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.

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.

The results of numerical simulation and experimental data are used for their comparative analysis and the assessment of the phenomena.
The work presents numerical simulations of the shock wave effects and the results are supported by experiments.
The following step was the numerical simulation using explicit dynamics of the shock wave effects on a similar metallic plate.
ICEM-CFD blocks and one quarter of the 3D bomb body mesh The preprocessed bomb body was imported in AUTODYN resulting a number of 675662 elements for the bomb body and 188998 elements for the stabilizer.
The average velocity of the bomb body obtained experimentally is simmilar to that obtained using simulation, being around 1200 m/s.

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.

Note that the thermo-chemical behavior simulation based on CFD technology is to improve productivity with better injection formation.
Numerical Simulation.
For the equations being able to close, constraint conditions are to be given to solve the CFD model, then the simulation is carried out by numerical-approaching method.
It can be seen that the simulation shows the preferable forecasting result.
Conclusions Through analyzing the simulation results, the numerical simulation platform has been verified, and the errors have not influenced its validity.

[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.