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Z.F.Wang [5] used Computational Fluid Dynamics (CFD) simulation to calculate the air collector thermal performance.
C.J .Wang [6] used CFD to analyze air permeability collector performance.
They found that the simulation results and experimental results match very well.
So, numerical simulation has become one of most important methods to design the efficient and lower cost collectors.
Fig.2 The mesh of collector The simulation was conducted by solar radiation model with software Fluent6.0.

FDS [12] is a field model, or known as application of Computational Fluid Dynamics (CFD).
The Navier-Strokes equations are solved in FDS using large eddy simulation to account for subgrid turbulence.
Because of the very large number of cells, CFD models avoid the more generalized engineering equations used in zone models.
For CFD results, smoke layer interface heights are deduced by different methods as described earlier [14,15].
The CFD field model FDS can give good predictions for comparing with the hot smoke test.

Several turbines with different geometries of the crowns were compared, whose power coefficients were numerically simulated by the CFD method.
Before the beginning of turbine designing, the CFD techniques concerned in the turbine flow simulation were introduced as following.
By the results of turbines flow simulation, power coefficients of the two turbines are listed in table 2.
Aerofoil Characteristics from 3D CFD Rotor Computations [J].
Computer Simulation, 2010, 27(3):276-280 (in chinese).

The aerodynamic theory for the fan impeller is introduced and the module analysis is conducted to calculate the flow parameters more accurately, the lift coefficient is modified by taking into account the specific shape of the blade, and an empirical parameter is also replaced by the CFD simulation based on FLUENT software.
At present, with the exception of CFD (computational fluid dynamics) simulation where CAA (computational aerodynamic acoustics) is involved, the main noise prediction model of the fan can be grouped into two categories: (1) the wake shedding model represented by Fukano et al. [1] and Lee et al. [2], whose main idea is to describe the turbulent noise of the shedding vortex at the trailing edge of the blade of the fan using a simple physical model taking the wake width as the main parameter.
Huang [5] devoted the model of Lowson [3] to the simulation of a computer cooling fan, and achieved good results.
Table 2 shows the comparison of the lift coefficient of different sections using the Wu et al. model [4], the flat plate formula, the modified model and the FLUENT simulation, respectively.
It is shown that the numerical results of the lift coefficient in the modified model are more closely to those of the FLUENT simulation.

Simulation of Hydrodynamics and Reaction Behavior in an Industrial RFCC Riser Aisha Ahmed1, a, A.
Therefore, many research studies have been employing the CFD modeling for the FCC riser and downer reactors [2-6].
In the last decade, CFD technique has received much more attention when modeling a gas-solid multiphase flow reactor.
In this work an industrial RFCC riser with high Conradson carbon residue feedstock is modeled and simulated using CFD tools.
Therefore, the CFD approach was applied to simulate the flow behavior and catalytic cracking reactions in RFCC riser reactor.

CFD Simulations.
The ANSYS ICEM/CFD software is used to construct two-dimensional geometry model and the body fitted computational mesh.
Therefore, the aerodynamic performances of two different thickness airfoils as NACA6412 and NACA6422 are also calculated with CFD simulations.
The two-dimensional CFD simulations and Taguchi analysis on the aerodynamic performance of cambered airfoils suggested that the NACA64XX airfoils exhibited the maximum lift-to drag force coefficient for low Reynolds number flow conditions. 2.
Fig. 1 CFD Simulations blade-section research.

Based on CFD, the flow field was calculated and analyzed with partition plate settings.
CFD Computation and Analysis of Separator Effect of the Primary Partition plate’s Location.
Fig.4 CFD Computing Graph When the Height of the Inclined plates is 0.3m (a) Graph of Velocity Vector (b) Graph of Oil-drop Trail From the graph of Velocity Vector, when the the inclined section size of the primary partition plate is increased gradually, the main separation space occupied by the primary partition plate also increases gradually.
(a) Graph of Velocity Vector (b) Graph of Oil-drop Trail Fig.5 CFD Computing Graph When the Height of the Auxiliary Partition is 0.3m The influence on the oil-water separation efficiency by the change of the auxiliary short baffle height is shown in Fig.6.
Numerical simulation and experimental study on flow field of gravitational separator.

A preliminary study of Computational Fluid Dynamics (CFD) on the effect of high Reynolds numbers in the cavity has been carried out.
Streamline comparison between experiment [3] (left) and simulation (right) Results and Discussions Different flow patterns were identified in every simulation conducted in this study.
There were two vortices occurred in the cavity of each simulation with high Reynolds number Re=10000 as shown in Fig 3.
The simulation of the flow inside the cavity also calculated the pressure along the top layer of the cavity and tabulated in the graph.
Shaughnessy, CFD Simulation of contaminant decay for high reynolds flow in a controlled environment, Annals of Occupational Hygiene 54 (1) (2010) 88–99

In this paper, the simulation analysis has been done using the software FLUENT on the basis of theoretical analysis of the sensor, and the optimization design of the flow sensor structure has been given according to the analysis results, the results show that the flow characteristics of the sensor has been improved. 1.
Currently, two ways to obtain the flow field of the flow sensors, namely direct measurement, and software testing numerical simulation.
However, the computational fluid dynamics (CFD) is a primary tool to analyse the built-in flow sensor’s flow field, and to understand the interaction working rules between fluid and structural components of the sensor and to optimize the parameters of the sensor’s structure[1][2][3].
In this paper, the simulation analysis has been done using the software FLUENT on the basis of theoretical analysis of the sensor, and the optimization design of the flow sensor structure has been given according to the analysis results, the results show that the flow characteristics of the sensor has been improved.
CFD design analysis and struture improvement The flow field simulation of the flow sensor has been done using the CFD software FLUENT, the settings of the initial parameters of the simulation as follows: the mass flow rate entrance is 0.1 kg/s, the pressure exportation is 823200Pa, and the angular velocity of the impeller is 49.6rad/s according to the project demands. 3.1 Simulation analysis and improvement of the impeller Fig. 3 Mesh generation of the geometric body model Flow region geometric body model has been established in order to simulate the internal flow fieldof the flow sensor, and then the mesh generation of the geometric body model has been done using the commercial software GAMBIT, just as shown in Fig.3.

Savvas Xanthos and Minwei Gong developed a Computational Fluid Dynamics (CFD) model[12].
To solve this problem, FLUENT, a CFD code, was employed to investigate hydraulic characteristics and an object function of was presented to evaluate hydraulic efficiency of settling tank in this paper.
Mathematic Model FLUENT is used to perform the numerical simulation by solving conservation equations for mass and momentum.
W: Simulation of hydrodynamic and transport characteristics of rectangular settling tank, in Transport of Suspended Solids in Open Channels, ed.
[12] Savvas Xanthos, Minwei Gong: Performance Assessment of Secondary Settling Tanks Using CFD Modeling.