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João Naves de Ávila, 2121, Bloco 1K, Campus Santa Mônica, Uberlândia – MG -38400-902 aclaudiofequfu@gmail.com Keywords: spouted bed, particle velocity, CFD, measurement technique Abstract.
Studies of numerical simulation techniques and computational fluid dynamics (CFD) have become popular in the field of gas-solid two-phase flow.
Description of the Model In this work, was used the same simulation strategy adopted by Duarte et al [12].
The minimum spouting velocity calculated by simulations was about 24 m/s as can be seen in Figure 4.
The minimum spouting velocity calculated by simulations was about 24 m/s.

Introduction With the continuous development of Computational Fluid Dynamics (CFD), Computational Structural Dynamics (CSD), as well as computers’ hardware and parallel technology, it has been more and more necessary to analyze engineering problems by using numerical simulation of fluid-structure interaction.
The matching condition is the main influencing factor of the realization of data exchange between fluid and solid during numerical simulation.
An Evaluation of Computational Algorithms to Interface Between CFD and CSD Methodologies[R].
Unified Approach to CFD-CSD Interpolation and Mesh Motion using Radial Basic Functions [C].
[10] Xu Min, An Xiaomin, Chen Shilu.The study of CFD/CSD interaction calculation [J].Journal of Applied Mechanics, 2004, 21(2):33-37.

This 3-D model, similar to that described in [3], was imported into the CFD software environment.
Average temperature in the furnace chamber during the simulation of the studied elements of horizontal and vertical placement: V, N – upper and lower limits of the standard temperature regime; 1 – average temperature in the furnace chamber during the simulation of the horizontally placed test sample; 2 – average temperature in the furnace chamber during the simulation of the vertically placed test sample According to the results of the comparative analysis of temperature regimes in the furnace chamber during computer simulation of a steel-reinforced concrete slab with a corrugated profile, it is possible to state the reliability of the obtained results.
The obtained data were analyzed and compared with the results of computer simulation of a similar slab, but with a vertical orientation [3]. 1.
The obtained data show positive reproducibility of the experimental results during computer simulation. 3.
Lementar, CFD-sim ulation of the pyrolysis process of high-tem perature decomposition of raw materials of plant origin in household solid-fuel boilers.

So closing the Pareto front solutions for cross breeding probability increases, the convergence of computer process is accelerated, the simulation time is reduced.
Two parent individuals produce two son individuals, parent individuals are deleted at the same time; (6) The restructuring: All individuals set a new Pt; (7) The update: The At-1 combines with Pt, selection mechanism according to the environment, one of the N entities are chosen from 2 N individuals; (8) The termination: if the termination conditions are met, the simulation program is terminated, otherwise step (2) is returned.
On the basis of unmanned aircraft wing and tail are imported into the CFD software, the aerodynamic parameters of unmanned aerial vehicle are get.
CAD Modeling NCGD Optimization algorithm Longitudinal performance analysis Dynamic model Aerodynamic derivatives Aerodynamic parameters CFD calculate Quality characteristics Output Constraint Yes No Fig 1 The flow chart of calculation 4.
Aircraft Control and Simulation, A Wiley--Interscience Publication JOHN WILEY and SONSS,INC,2010

By comparison between the simulation results and the corresponding wind tunnel test data, The results indicated the simulation result of RNG k-εturbulence model is more precision, and it is more suitable on numerical simulation in vehicle external flow field.
At present, the numerical simulation of turbulence flow includes direct numerical simulation and non-direct numerical simulation.
Depends on the different of simplified foundations, N-DNS include Large eddy simulation (LES), stat average numerical simulation and Renault average numerical simulation (RANS).
Aerodynamics of a pickup truck: combined CFD and experimental study[C].
Detached eddy simulation over a reference Ahmed car model[C].

Introduction FLUENT is world's largest computational fluid dynamics (CFD) software vendor and technology service provider.
This software is designed based on the idea of FLUENT CFD software group.
However, due to the limitations of such simulation software and the complexity of the geometry of the wall heat transfer problems, the simulation results of this study need to be further validated [3].
During the simulation, thermal conductivity has used different constant values.
Steady numerical simulation is conducted by FLUENT software.

In this paper, numerical simulation has been performed for the unsteady flow field of nozzle vortex shedding with inlet and outlet boundary conditions.
(4) B1 is the velocity-inlet boundary condition, B2 is the velocity-outlet boundary condition and B3 is the solid wall boundary condition as shown in Fig.3. 4 Analysis of numerical simulation results CFD software is used to make numerical simulation for jetting flow field. 4.1 Velocity distribution of nozzle unsteady flow field The jetting flow field structure can be seen from the Fig.4 at different time.
Computational Fluid Dynamics Simulation of Air Driven Fluidic Resonance Generator [J].
Numerical simulation of turbulent impinging Jet Flow using a modified renormalization group model.
Numerical simulation of the equilibrium profile of local scour around submarine pipelines based on renormalized group turbulence model [J].

Kim 2, b 1 Regional Research Center of Pukyong National University, Busan, Korea 2 Graduate School of Pukyong National University, Busan, Korea a inkwan@pknu.ac.kr, bkimjs98@pknu.ac.kr Keywords: Cyclone Dust Collector, CFD, Inlet Velocity, k-ε Turbulence Model Abstract.
Chun & Ohm [2] performed the numerical analyses with several parameters such as vortex finder diameter, effective dust exit diameter, vortex finder length, inlet type and showed that the simulation results with k-ε turbulence model were in good agreement with empirical knowledge.
Gimbun & Chuah [3] showed that CFD(Computational Fluid Dynamics) predicted the cyclone cutoff size for all operating conditions with a deviation of 3.7% from the experimental data.
In this study, we present an application of CFD to predict the dust collection efficiency according to various dimensional parameters such as shape of helical guide vanes, length of cylindrical part, dimension of inner diameter.
Jamal N., Kerry Mc. and Greg R.: The 3rd International Conference on CFD in the Minerals and Process Industries, CSIRO Melbourne, Austrailia(Dec. 10~12 2003), pp.489~492 [5] Fluent Press: Fluent Users Guide, Vol. 14, America(2004) Flow rate (m 3/min) Dust density(g/m 3) 30.0 1.0±0.05 Table 3 Operating conditions for clean efficiency Item New Old Result Ventilation Resistance[mbar] 23.9 24.2 Okay Clean Efficiency[%] 99.91 99.91 Okay Table 4 Performance test results Flow rate (m 3/min) Rate(%) Conditions 30.0 50.0 45.0 75.0 60.0 100.0 75.0 125.0 Temp. : 30±0.5 °C Relative humidity : 50% Table 2 Operating conditions for ventilation resistance

Euler-Lagrange approach and Euler-Euler one are two approaches for modeling and simulation of the cohesive mixing.
Modeling and Simulation Techniques.
With the development and popularity of computer use, the improvement of the computing capacity, the enlargement of memory of the computer and the improvement of the algorithm of modeling, Computational Fluid Dynamics (CFD) simulation technique is widely employed for the mixing process operation.
The fundamental for flow modeling and simulation is based on control equations and their solving method of the mixing fluid.
Two approaches for modeling and simulation of the cohesive mixing are Euler-Lagrange approach and Euler-Euler approach.

Numerical simulation was conducted on the base of Mixture model and Reynolds stress (RSM) turbulent model by Fluent CFD software.
The numerical simulation results lay the foundation for the next experimental study.
Sand phase is also regarded as a fluid during numerical simulation.
Build the numerical simulation calculation model of single inlet and single outlet and select the Reynolds Stress Model (RSM) and the Mixture Multiphase Models to carry out numerical simulation.
The optimum structural parameters were confirmed through numerical simulation.