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They can be generally classified as computational fluid dynamics (CFD) model and probability model (such as Gaussian, BM, FEM3 and etc.).
CFD models [1] are usually associated with complex parameter systems and large amount of computation, which does not apply to real-time application.
To verify the improved model, we take two groups of simulation in different aspects: final state simulation with different primary parameters, and diffusion process simulation in different time points.
Final State Simulation with Different Primary Parameters.
Diffusion Process Simulation in Different Time Points.

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].

Based on CFX numerical simulation of Francis turbine runner Fang Hed Xinyu University of Mechanical Engineering, Xinyu 338004, China a514149150@qq.com Key words: turbine runner; CFX; numerical simulation; hydraulic vibration Abstract.
From the source of hydraulic vibration, Focus on numerical analysis, numerical simulation for the cutting thickness of the runner blade.
Finally, the runner blade is thin 0.5cm can obtain numerical performance is good numerical simulation results Analysis and simulation results of velocity distribution.
Based on CFX technology based on activity of the guide vane and the runner of turbine internal flow state for three dimensional flow field numerical simulation, Focusing on turbine runner blade thickness thinner after 0.5 cm and three dimensional flow field numerical calculation, simulation and analysis on the energy distribution.
Liu: Analysis of the internal flow in Francis turbine runner CFD (MS., XiHua University, China 2006)

The Simulation of the Circumfluence and Inhomogeneous Flow Field in Pulsing Electro-Floatation Deng Xiaogang 1, a, Zhou Xiong 1 ,b 1 Department of Machinery Engineering, Chongqing University of Science and Technology， Chongqing , 401331，P.R.China a yxydxg2002@sina.com, b cq_mecc@yahoo.com.cn Keywords: Pulsing Electro-Floatation ；Inhomogeneous Flow Field ；Circumfluence Abstract.
Chen Wen[3] pointed out the method of image analysis for bubbles velocity field in bubbles-liquid two phase flow based the theory of fluid dynamics and Computational fluid mechanics (CFD) . 1, The theory of Pulsing Electro-floatation (PEF) Based the principle of electrolysis of water by direct current, small and uniform micro-bubbles could be obtained using method of Electro-floatation(EF).
Thus, the equations of conservation of mass, momentum, kinetic energy of turbulence k, and dissipation rate ε could be calculated: (6) In Eq. 6，p is the pressure that is same of all the phase; g is the acceleration of gravity ; denotes a source of corresponding property due to the presence of the dispersed phase; The other parameters are constants: ,. 3, The Numerical Simulation of PEF inhomogeneous flow field In accordance with the sizes of the PEF experimental device, the simulation model of PEF inhomogeneous flow field is designed shown in Fig. 2.
The unsteady state pressure-based solver, mixture multiphase flow model and K-εturbulence model are called in the simulation.
A multiphase CFD model of DAF Process[J]，Wat．Sci．Tech，2001，43(8):153-157 [3] Cheng Wen, Song Ce.

The objective of the article is to bring several numerical simulation models about building fire and smoke movement.
With the development of computer, numerical simulation is widely used in the area of fire protection design.
This kind of model is relatively simplified in the simulation.
Field Model The idea of the dynamics of a fire might be studied numerically dates back to the beginning of the CFD (Computational Fluid Dynamics) and the computer age.
[5] Information on http://www.nist.gov/el/fire_research/cfast.cfm [6] Information on http://www.fire.nist.gov/fds [7] Klote J H: Review of CFD analysis of smoke management systems, ASHRAE Trans, 108 (2002) 687-698.

VOF (Volume of Fluid) simulation has been used as a tool to predict the current investigation computationally by using ANSYS FLUENT CFD software.
Tundish flux simulation.
In the present work only CFD model study was done to investigate the importance of this novel shroud in tundish metallurgy.
In this modification of multiphase simulation, five phases were used.
Rest of the edges of axisymmetric simulation were treated as i.e. wall or axis.

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.

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.

Numerical Study of Flow Separation and Pressure Drop for Flow past Staggered Tube Bundles Azmahani Sadikin1,a and Norasikin Mat Isa1,b 1Centre for Energy and Industrial Environement Studies (CEIES), Faculty of Mechanical Engineering and Manufacturing, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia aazmah@uthm.edu.my, bsikin@uthm.edu.my Keywords: Flow separation, pressure drop, heat exchanger, staggered bundle, CFD Abstract.
The simulations were undertaken to inform on how the fluid flowed within the tube passages.
So, in the simulations, only a symmetrical half of a flow passage between the tubes is used.
The simulation was run until the residual of the pressure and velocities were less than 0.00001.
These values are chosen to best fit to the data, supported by the single-phase CFD simulations presented in this paper.

Introduction In recent years, with the fast development of computer technology and the improvement on the theory of turbulent numerical simulation, numerical simulation has gradually taken the place of physical experiments.
Currently the numerical simulation methods which are implemented on the computer provide overall process in simulating the model of the Francis turbine as well as the prototype so as to provide accurate results for the numerical analysis and model the situation of the flow field in 3 dimensions [1].
Before a numerical simulation experiment is carried out on a Francis turbine, a 3D solid model of the Francis turbine must be built.
The quality of the solid 3D model influences the result of the numerical simulation experiment directly.
Using the 3D numerical model which was built by Pro/E to carry out numerical simulative experiments can save time and money, and also can embody design requests better, meet the requirements of further hydraulic analysis and provide a reliable foundation for the future CFD calculation and performance prediction.