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A three-dimensional simulation model of a float glass-melting furnace including combustion chamber and glass tank is performed in this paper by CFD software Ansys Fluent.
Besides, postprocessing analysis based on CFD simulation is an effective tool for glass quality indication and improvement [5].
In this paper, a numerical simulation of a side-port regenerative type float glass-melting furnace including combustion chamber and glass tank is performed integrally by CFD software.
Fig. 1 A schematic of the float glass-melting furnace Simulation Models and Boundary Conditions The simulation is performed by CFD software Ansys Fluent-14.5, and the submodels applied in the simulation are as follows.
The approach of simulation by CFD software as well as the evaluation methods is a valuable tool in furnace optimization for furnace designers and operating workers.

Keywords: high low temperature radiator group; double side simulation; procedure calculation; wave distance combination Abstract: Establishes 3d numerical simulation model of water side and air side for ribbon-tubular radiator, studies effect of air velocity on air side heat transfer capacity and drag characteristics by using CFD method, based on double side 3d simulation result, and then calculates the import and export water temperature of the high low temperature radiator group with procedure.
This paper uses the method of combining the double sides CFD simulation and procedure calculation to research the influence of wave distance matching to high low temperature radiator group heat transfer properties.
Thermal-hydraulic CFD study in lower-fin and flat-tube heat exchangers [J].International Journal of Refrigeration，2004，27(4):422-432
[6] Martello F. engine cooling radiator-performance evaluation based on CFD approach[C] VTMS6,c599/072/2003:727-736
CFD Simulation of Flow and Heat Transfer in Airways[J].2001

axochitlmoran@gmail.com, bjose.luna@correo.buap.mx, caprezasies@gmail.com, djose.hernandez@correo.buap.mx, epathaym@yahoo.com Keywords: SRO, HF-CVD, simulation, CFD, Thermodynamic Analysis Abstract.
S. et. al. used a CFD simulation to optimize the deposition parameters of diamond films in HFCVD reactor, the temperature, pressure, and distance between the filament and the the susceptor were considered [10].
The model parameters of the 2D HFCVD reactor simulation.
Conclusions The CFD simulation of the HFCVD reactor for studying the optimal conditions of the deposit process of the SRO films with a 2D model was developed.
Kim, “CFD Simulation of Chemical Vapor Deposition of Silicon Carbide in CH3SiCl3-H2 System, Curr.

The use of Computational Fluid Dynamics (CFD) has changed the traditional design process.
The Star CCM+ model used in this paper is new generation simulation software of CFD.
The flow field simulation of mixing process can be classified as flow field simulation contains the moving parts.
Geometry files are imported into CFD software of Star CCM+ for grid partition.
Study and Multi-Phase CFD Modelling of Ammoium Sulphate Crystallization.

First, γ is determined by CFD simulation-based pilot studies.
Finally, the design result is validated through CFD simulation.
CFD simulations are executed for four T-MRs with different dimensions.
Finally, the validity of the eP3DLAM-based design result was confirmed by CFD simulation.
The parameters in eP3DLAM are determined on the basis of four CFD simulation results.

The technique integrates CFD and 3-D reservoir simulation concepts to define and quantify the effects of different operating conditions on discretised reservoir blocks.
The study was carried out using a modelled computational grid block generated by the CFD solver.
The CFD simulation results comparison of instantaneous velocities between liquid phase and solid phase is one of the key features which makes the investigation more realistic compared to experimental studies which can not measure individual solid particles speeds separately in a multiphase of oil, water, gas and fines while all continuously flow together.
Such simulation results as shown in Fig. 3, were further analyzed.
A unique technique that integrates CFD and 3-D reservoir simulation concepts to define and quantify the effects of fines migration in a multiphase environment has been initiated for the first time.

Eilmer Simulation Results.
CFD validation was performed through a comparison of the 2D and 3D results.
The case was split into two sub-models to minimise simulation time.
Eilmer Simulation Results.
[2] Wilcox, D.C. 2006, Turbulence modeling for CFD, DCW Industries

The effects of the particle size on the erosion of the plugged tee are studied by computational fluid dynamics (CFD).
Mathematical models of the flow of the compressed air with the entrained cutting particles through the plugged tee are built and imported into the CFD through embedding procedures.
Prepare for CFD Simulation The geometric model of the CFD simulation is the internal flow field of the plugged tee, as is shown in Fig. 1.
After boundary conditions and the parameter of the particle size are given, the simulation results are obtained.
According the simulation results, the residence time of the particles in the inlet section is obtained (Table 1).

Also, the experimental results show that the radial and centerline pressure profiles through various coaxial jets has good correlation with the CFD simulation.
A CFD model was developed and compared with the experiments.
At NPR 2.5 for x/D closer to exit plane the pressure is over-predicted by the CFD.
Ø A CFD simulation using ‘k-e’ two equation turbulence model was performed to predict the mixing characteristics of the supersonic jets.
It confirms that the simulation results have a good agreement with experimental measurements.

For this, was performed simulations through the CFD and DEM techniques to evaluate the influence of the parameters: restitution coefficient (h ), friction ( m f ) and the coefficient of elasticity or spring ( K ) of the linear model "spring-dashpot".
Simulations Methodology.
In this work, an Eulerian control-volume multiphase CFD governing equation [10] was used to simulate the gas phase using the CFD package ANSYS FLUENT® 14.0.
The CFD-DEM calculates the velocity field for the fluid phase, and uses these data to calculate the particulate phase.
CFD-DEM Simulations.