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Simulation model of the flow is done by using Computational Fluid Dynamics analysis, CFD.
Simulations conducted in private with a variety of flow velocity and pressure of the sea water and various forms of channels.
Based on these data, the simulation model of the flow analysis is performed using Computational Fluid Dynamics, CFD, to determine the pattern of flow velocity and pressure, thus laying the turbine in the proper channels in order to generate optimal power.
Method of sea currents flow simulation using CFD Results and Discussion Based on the data speed of sea currents in the Strait of Ceningan, then it start to be used of foundation design for testing of sea currents.
Foundation design is done using CFD to obtain the movement of the maximum flow and velocity.

Simulation is carried out using ANSYS FLUENT system.
CFD Model In [2] Lastow and Balachandran presented a novel CFD simulation method of the EHD atomization process.
CFD simulations, in general, require information about the precise geometry of the capillary and the contact angle between the capillary and liquid.
CFD simulation Figure 3 illustrated the geometry that modeled in our simulations.
Mechanism and geometry that modeled in simulations.

To analyze the phenomenon, the thermal environment of a typical urban residential subdistrict is simulated by using CFD techniques considering the affects of different type of wall material.
The simulation data are carefully analyzed.
Finally, simulation results show that wall materials affect the environment considerably.
Numerical simulation is based on computational fluid dynamics (CFD), on the basis of fluid mechanics and heat transfer by solving equations, using computer graphics image intuitively describe space flow field physical parameters, such as wind speed, temperature, etc.
Simulation Conditions.

Numerical simulation of indoor thermal environment of a double-skin facade office with different shutter angles Xin Zhan, Hua Yanga, Fengyun Jin Hebei University of Technology, Tianjin 300401, PR China aCorresponding email: y8h8@163.com Keywords: Double-skin façade, Shading devices, Office thermal performance, CFD Abstract.
Airflow and heat transfer simulation was conducted for a double-skin façade (DSF) system equipped with shading devices in the cavity, using computational fluid dynamics (CFD) with RNG turbulence model and PISO algorithm, for five conditions of slat angles (θ=0°, 30°, 45°, 60°, 90°).
modeling and simulation The model chooses an office that the size is 4m×4m×5.5m, and the width of cavity is 500mm.
A CFD approach is employed to model and simulate the airflow and heat transfer in the DSF system.
Results and discussions All the models are selecting the 13 o’clock as the simulation time so that it makes sure that there has enough solar radiation.

CFD is widely used in the jet impingement cooling and lubrication.
CFD simulation model The cryogenic MQL cold air jet machine consists of drying equipment, refrigeration equipment, insulating pipe and two nozzles.
The comparison between simulation and experimental data was shown as Fig. 4.
So the CFD simulation model is available.
The velocity values calculated from the simulation results are shown in Table 2.

Recently, CFD (Computational Fluid Dynamics) is being more and more used in the investigation of the flow and thermal around high-rise buildings.
To validate the model, the simulation results were compared with wind tunnel data.
CFD model configurations In order to investigat the thermal effect on flow field behind the building, the geometry and computational domains as shown in Fig. 1, were created using ICEM-CFD.
Range of Ri=0.1-1.5 was used for this simulation [9, 10].
Conclusion CFD simulations and numerical study of single high-rise building with leeward wall heating and compared to isothermal case showed that the recirculation length was reduced approximately 10.6% in thermal case compared to isothermal case.

Viscous flows around NASA CRM wing-body-tail configuration were simulated by an in-house CFD solver called Exstream.
Common challenges are complex flow simulation (such as pressure gradients, laminar/turbulent transition regions, separated and possible unsteady flow) by Computational Fluid Dynamics (CFD) and mesh generation for topologically complex configurations by grid methods (e.g., Refs. [1, 2]).
As mentioned earlier, AUSMDV, k-ω SST turbulence model and LU-SGS have been used for this simulation.
Summary Viscous flows around NASA CRM wing-body-tail configuration has been simulated by an in-house CFD solver called Exstream.
Summary of the First AIAA CFD High-Lift Prediction Workshop.

With a computational fluid dynamics (CFD) analysis, velocity profiles are calculated.
Bias Error due to Transducer Installation Position Numerical simulation has been carried out to quantify the effects of transducer installation positions on the performance of a two-plane 18-path meter with a diameter of 500mm (DN500) using a commercial CFD software.
The most important step for the simulation is meshing.
To ensure the simulation accuracy, the grid located near the transducers is much finer.
The reference curve is the same as that in Fig 3(b), which is calculated with the CFD software.

The unsteady turbulent flow of the fan is simulated with Detached Eddy Simulation (DES) and the acoustics sources are computed based on the pressure fluctuations.
The Ffowcs Williams and Hawking model is used to predict the tonal noises in aeroacoustics simulation.
Diffuser Impeller Figure 1.Centrifugal Fan CFD Computations Turbulence modeling Turbulence is modeled with k-w SST variant of Detached Eddy Simulation (DES), as this is capable in resolving the eddies for noise prediction.DES is built on Unsteady Averaged Reynolds Navier Stokes (URANS) method [7].
Figure 2.a) Boundary condition b) Mesh of fluid domain CFD Results Figure 3 shows the CFD results of the 1/6 centrifugal fan model.
(a) Pressure contour, Pa(b) Velocity contour, m/s (c) Turbulence intensity contour, % Acoustics Computation After obtaining the CFD result, the noise sources are then used in acoustics wave propagation simulation to compute the acoustics field for sound pressure level in near field and the far field.

Computational Fluid Dynamic (CFD) was used to simulate the injection molding process of a tray.
CFD simulation software ANSYS FLUENT 14 was utilized in this study.
The tray-shape mold cavity (Fig.1) was built by using SOLIDWORKS 2012 and then exported to CFD software for meshing and simulation analysis.
CFD software solved the governing equation by using Cartesian spatial coordinates and velocity component.
Figure 4: Velocity values at different injection pressures Conclusion CFD simulation using ANSYS FLUENT 14 was used to simulate the injection molding process of molten PP into a tray-shape mold cavity.