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email: tchllc@126.com Keywords: stirred vessel; gas-liquid flow; gas residence time distribution; discrete phase model; numerical simulation Abstract: Gas-liquid flow in a stirred vessel was simulated numerically with computational fluid dynamics(CFD).
The numerical simulation study on gas-liquid flow in stirred vessel with CFD-DPM method has not found to be reported.
In present work, The CFD-DPM method is established to predict gas-liquid flow in a stirred vessel by using of CFD software Fluent 6.2.
Stirred vessel for simulation Impeller for simulation Fig.1 Schematic drawing of stirred vessel and impeller The grid-generation tool Gambit 2.3.16 is used to model the geometry and generate the tetrahedral meshes.
The total tetrahedral meshes are 737,547, which is adequate for the simulation.

3D Simulation of Gas–Liquid Two-Phase flow in an Aeration Tank W.L.
Even biokinetic models have been successfully incorporated in CFD simulations (Le Moullec et al., 2010; Zima et al., 2009).
Hydraulic study and optimisation of water treatment processes using numerical simulation.
Oxygen transfer prediction in aeration tanks using CFD.
CFD simulation of the hydrodynamics and reactions in an activated sludge channel reactor of wastewater treatment.Chemical Engineering Science 65 (1), 2010 ,492-498

The large eddy simulation (LES) of turbulence model was written using C++ language.
Experiments of Yi Zeng et al. [13] were chosen to compare flame lengths with simulations of a developed CFD code in this research cause of a simple shape of a burner and clearly explanation of an experimental method.
CFD domain Figure 1.
Boundary conditions of the CFD domain.
The comparison between CFD simulation and experiment implied an accuracy of the developed C++ codes.

The results obtained from CFD analysis are compared with available standard results.
The simulations are supposed to be converged when the residual is below 10-5.
the following turbulence models adopted to select the best modeling methodology for the simulation of marine hulls; 1.
[2] Katuri Samarpan ,computational estimation and RANS simulation estimation and RANS simulation of free surface flow around a ship hull, International Journal of Mechanical and Industrial Engineering (IJMIE) ISSN No. 2231 –6477, Vol-2, Iss-3, 2012
Wilcox, Turbulence Modelling for CFD, DCW Industries, (1993)

Numerical simulation of a vertical axis wind turbine for urban use Ion MĂLĂEL1, a,Lucas MOUTET2, band Valeriu DRĂGAN3,c 1Romanian Research & Development Institute for Gas Turbine, 220D Iuliu Maniu Ave. 061126 Bucharest 6, Romania 2 Ecole Nationale Supérieure des Ingénieurs en Arts Chimiques et Technologiques, 4 Allée Emile Monso 31030 Toulouse cedex 4, France 3Romanian Research & Development Institute for Gas Turbine, 220D Iuliu Maniu Ave. 061126 Bucharest 6, Romania aion.malael@comoti.ro, blucas.moutet@ensiacet.fr, cvaleriu.dragan@comoti.ro Keywords: CFD, VAWT, NACA, TSR Abstract.This paper presents a detailed CFD analysis of an H-type Darrieus VAWT of 1.5 kW.
In order to estimate the aerodynamic performance of the turbine, a series of quasi-2D CFD analyses were carried out with the Ansys Fluent solver using URANS method for time and hardware reduce for one CFD analyze.
a) b) c) d) Fig.7– Vorticity magnitude field at different θ angles: a)0 degree, b)30 degree, c)60 degree, d)90 degree Conclusion and future works In this paper a CFD numerical simulation was carried out on a VAWT with a yielded power of 1500 W.
For the airfoil choice, a series of preliminary CFD tests were done to compare the drag polar plots of various airfoils.
Future work could extend this study to a 3D simulation with CFD methods and verified the results with the data from an experimental model in a wind tunnel facility.

CFD in Continuous Stirred Tank: Comparison between Rushton and Paddle Turbines T.
This paper describes three-dimensional computational fluid dynamics (CFD) simulations of POME flow in a laboratory-scale CSTR.
In this work, the flow field in the CSTR reactor having POME as media is modeled by time-dependent CFD simulation strategy using the Reynolds averaged Navier Stokes (RANS) equations [3,5].
The number of degrees of freedom in this simulation was 995,768.
The amount of elements and degree of freedom was selected to achieve acceptable results for less simulation time.

The high-order schemes have attracted more and more attention in computational fluid dynamics (CFD) simulations.
The high-order schemes have attracted more and more attention in CFD simulations.
As a kind of combination schemes of WENO[3] and CS[4], a series of WCNSs [5] were proposed by Deng et al. based on weighted technique, and have been widely applied in large eddy simulations[6], direct numerical simulations[7] etc.
However, it is a problem to efficiently parallel the high order viscid compressible CFD simulations based on multi-block structured grid on GPU, due to the high computational and communicational requirements.
The benchmark simulations use 3 kinds of mesh.

At present, the CFD numerical simulation, combined with an experiments involving heat transfer has become an important approach to studying coal carbonization.
Our simulation results for the coke oven model are in agreement with experimental and virtual data.
The primary objective of this research is to numerically study carbonization processes using two-dimensional (2D) CFD.
Therefore, CFD simulation can help optimize the design of the coke oven and identify conditions which can improve the oven throughput and fuel conversion efficiency.
Typical grid used for simulations (45 × 300) Mesh used in the CFD modeling is shown in Fig. 1.

Computational fluid dynamics (CFD) simulation analysis of pressure drop in the vertical helical-coil heat exchanger is carried out.
CFD Simulation of Two-phase Flow Pressure Drop The air-water two-phase flow in the vertically helical tube has been simulated using FLUENT 6.2 commercial CFD software.
In order to verify the CFD model, the CFD simulation results are compared with the experimental data in cases of 12 different liquid-gas mass flux combinations.
The following numerical simulation analysis is executed based on this CFD model.
CFD Simulation Results and Discussion Two-phase Flow Analysis.

CFD simulations using SST k-ω turbulence model with Kato-Launder correction were used to examine the physical phenomena occurring on the sectional airfoil of the blade.
Several CFD simulations have been performed to capture the flow fields and the onset of dynamic stall.
Therefore, the present study utilizes the CFD-based simulation to investigate the force hysteresis in terms of lift coefficient (Cl) and drag coefficient (Cd) to observe the dynamic stall behavior on the Darrieus turbine blade.
The CFD package Ansys Fluent 15.0 was used for all simulations.
Conclusion Numerical simulations using URANS–based CFD have been utilized to carry out the investigations of dynamic stall phenomena on Darrieus turbine operation.