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Simulation Grids.
The simulation grid is created using ANSYS ICEM CFD and it is shown in Fig. 2.
On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: comparison of RANS, LES and experiments.
"PIV verification of greenhouse ventilation air flows to evaluate CFD accuracy."
"Cross-ventilation in a generic isolated building equipped with louvers: Wind-tunnel experiments and CFD simulations."

The full flow field model of a widely used multi-blade centrifugal was built, using the CFD method, the steady and unsteady numerical simulation of the inner flow in the fan at different working conditions are presented.
The numerical simulation results were validated by contrasting to the experiment results.
The quality of the grids is one of the key factors determining performance of numerical simulation [3].
In order to make sure the stability of the unsteady simulation, the steady numerical simulation is done at first based on the same mesh subdivision, after that, the results of the steady simulation are used as the beginning field to proceed with the whole passage unsteady simulation inside the multi-blade centrifugal fan.
Simulation results and analysis Comparison between simulation and experiment.

In their work, simulations have been done for different flow configurations and separation only vs. reactive cases.
The numerical simulations were based on the CFD method devised by Coroneo et al. [5, 6] which was developed in the realm of a finite volume CFD code but in this case, O2 is separated from air instead of H2 separation in their case.
The general-purpose commercial CFD code Fluent 6.3 was selected for the solution of the steady-state conservation equations adopting either the laminar or the turbulent formulation depending on the specific flow regime.
Despite the largest partial pressure differences relative to all other ITM simulations, the flux remains relatively low until the end of the reactor.
CFD modelling of inorganic membrane modules for gas mixture separation.

The FEA is to simulate conduction in solids, and the CFD could be used to simulate both conduction and convection.
The modified thermal parameters are determined by correlation between CFD and FEA of simple geometries [19].
Meanwhile, CFD will be used as a supplement to determine heat transfer coefficients and conductivities for FEA, and sometimes to be the only way for simulations of highly flow dependent problems, such as the flow control module (FCM) with strong free convection.
The important key data required for the thermal analysis [7,9] based on the methods of FEA and CFD are listed below.
Additionally, FEA and CFD are two feasible methods for thermal analysis.

This paper analyzes the simulation results obtained by using FLUENT 6.1, simulation being carried out on supersonic inlet.
Overseas, the computation results from the CFD programs are usually compared with that from the experiment by various research institutions, so to confirm the accuracy of numerical methods and turbulence models [2].
Figure 3 illustrates the calculation domains used in the numerical simulation.
These two functions are employed by the two k- models in the simulation computation.
In this paper, commercial CFD program FLUENT was used and its prediction accuracy verified.

Therefore, this study is focused on developing an internal nozzle by analysed the characteristics of spray using ANSYS-CFX simulation with RNG k-epsilon turbulence model.
The simulation are based on plain nozzle design where the geometry and physical properties were carefully scale based on actual condition.
This study focused on investigating the internal nozzle geometries of the aerosol spray by conductly CFD modelling.
Numerical modelling The flow inside the nozzle geometry is investigated through numerical simulation based on Computational Fluid Dynamics (CFD).
The equations are solved using computer simulation software, ANSYS CFX (Version 14.0).

Comparing Simulation for Turbulent Dispersion and Coalescence of Droplets within a Spray with two Models Shaoyun Deng1, a 1Xinjiang Applicative Polytechnic, Kuitun, 833200, China anhrisydeng@163.com Keywords: Model, Simulate, Turbulent Dispersion, Coalescence, Spray.
The ultimate aim of this paper is to develop a validated CFD model to predict the extent of particle agglomeration within a spray dryer, and the flow patterns and drying of particles, and to use this predictive tool to design more efficient spray dryers that produce higher throughputs.
Methods It is the aim of the author to address this gap in fundamental understanding and to develop a Computational Fluid Dynamics (CFD) model to predict the turbulent dispersion and coalescence of droplets within a spray.
A commercially-available Computational Fluid Dynamic (CFD) program called ANSYS CFX4 is used to solve the equation sets for the Eulerian and Lagrangian approaches described above.
All subsequent simulations involving different droplet flows, gas flows or droplet size distributions adopt the same values for these parameters.

On the numerical simulation side, researchers focused on simulating the temperature, chemical species concentration, flow field and formation of NOx on the internal reactor by using CFD methods.
So results of numerical simulation are very similar and provide credible results with pulverized coal MILD combustion.
All the numerical simulations predict a cold zone correspondent to the lateral jet.
So EDC have advantages on numerical simulation of the combustible particle coal MILD combustion.
Influence of turbulence-chemical interaction on CFD pulverized coal MILD combustion modeling [J].

The paper is devoted to selection of a numerical approach for simulation of fluid flow in a torque flow pump of “Turo” type and its influence on simulation results.
At present numerical simulation of fluid flow in pumps is used with modern CFD-codes.
Numerical simulation allows costs decrease in dozen times.
However CFD-codes turbulence models and specified initial conditions, used for centrifugal pumps, don’t show adequate flow pattern for vortex pumps because of their flow structure differences.
Kochevsky, Possibilities for simulation of fluid flows using the modern CFD software tools, Ploiesti (Romania), (2005) 64-79

A three-dimensional CFD model is applied to simulate the flow patterns and particle concentrations in a street canyon under different aspect ratios and ground thermal conditions.
Numerical Simulation Procedure Computational Domains, Grids and Solution Method.
The resulting unstructured grid number of 2,700,000 is used for all the simulations.
The three-dimensional Navier - Stokes equations and the continuity equation are solved using the commercial CFD code Fluent 6.3.2.
Wong, et al.: Building Simulation Vol. 5 (2012), p. 359 [16] R.