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The problem is solved by mathematical CFD solver ANSYS Fluent.
When solving fluid flow CFD method, it is important to define the area.
We start from the basic equations agents of the dynamic forces (3) where each matrix of mass M, damping B and stiffness K will be determined using by CFD simulations.
It was described problems creating of CFD model for fluid flow in the annulus.
Papadopoulos, CFD analysis of journal bearing hydrodynamic lubrication by Bingham lubricant

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.

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.

CFD Simulation of Installation Angle for Axial Flow Fan of a Motor Jiadong Tang 1, Yiping Lu 1 a, Xuemei Sun 1, Wanquan Zhang 1 1 School of Mechanical & Power Engineering, Harbin University of Science and Technology, Harbin, China aluyp2010@yahoo.com.cn Keywords: numerical simulation; axial flow fan; installation angle; turbulence model; physical model Abstract.
Some numerical simulation research literatures about axial flow fan introduced the following aspects of content: Using software FLUENT to Simulate 3D flow field of axial flow fan under different working conditions[1]; Optimization analysis of the parameters affecting the fan performance based on CFD calculation using third-order spline interpolation method[2]; In view of the different axial flow fan by numerical simulation and experiments, which proved CFD method used in axial flow fan on the reliability of calculation[3]; Study on the effect of hub leakage on performance and flow field details of axial flow fan by experiments and numerical[4]; Numerical simulation of vortex flows of axial flow fan[5].The numerical simulation of 3D fluid field of the axial flow fan is carried out in this paper, analyzing the impact of the installation angle on fan characteristics, providing theoretical references for fan structural design.
The effect of turbulence model on the numerical simulation results.
Fig. 4 The volume flow rate curves of the whole model and the lengthened flow passage model with the outlet pressure change Conclusions The paper takes the single blade model and the whole model as research object, the 3D numerical simulation of turbulent flow field is performed based on the CFD theories, the basic performance and scheme optimizing of the axial flow fan are researched.
Kroger: Simulation of the Flow Field in the Vicinity of an Axial Flow Fan.

The numerical simulation was carried out with CFD and the equation of Helmholtz resonator.
Methodology followed in the acoustic simulation with CFD and the Helmholtz model 1.
The acoustic simulation is a process in which CFD and sound propagation are coupled.
The acoustic simulation is in the frequency domain, while the transient CFD analysis is in the time domain.
Acoustic model in CFD.

Simulation Analysis of Built Environment Based on Design Builder Software Lin Zhang Sichuan College of Architectural Technology, Deyang, Sichuan, 618000,china 7854278 @qq.com Keywords: built environment , building simulation , Design Builder (DB) Abstract.
Due to the development of computer technology, in the 1990s , research emphasis of simulation technology was transferred from simulation modeling to simulation software, so that simulation technology could be more widely applied.
Design Builder (DB) Software of Built Environment Simulation Design Builder is an integrated graphical user interface simulation software developed for dynamic simulation program (Energy Plus) of building energy consumption.
CFD function is combined with simulation model, and CFD boundary conditions can be defined based on the data output by Energyplus.
Contour plot showing daylight availability across a floorplan Daylight distribution within a zone Fig 1 Daylighting analysis diagram 4.4 Design Builder CFD Integrating the concept of CFD( Computational Fluid Dynamics ) into building model can simulate the air flow and temperature environments inside and outside the building.

Our simulation results show that the dangerous distance from the pneumatic drill hole is 3.5m.
The Construction of CFD Model Fig. 1 a illustrates the geometry of the CFD model.
Simulation conditions are given in Table 1.
The CFD simulation results show that the dangerous distance from the pneumatic drill hole is 3.5m.
CFD simulations of dust dispersion in the 20 L vessel: Effect of nominal dust concentration.

Computer Simulation on Key Structure Parameters of Foam Generator for Dust Control in Underground Coal Mines Hetang Wang1,2,a, Deming Wang1,2,b, Wanxing Ren1,2,c 1Faculty of Safety Engineering, China University of Mining & Technology, Xuzhou 221116, China 2Key Laboratory of Gas and Fire Control for Coal Mines(China University of Mining & Technology), Ministry of Education, Xuzhou 221116, China awhtcumt@gmail.com, bdmwcumt@gmail.com, cwxrcumt@gmail.com Keywords: coal mine; dust control; foam generator; structure parameters; CFD Abstract.
Aiming at designing the key structural parameters of foam generator scientifically, the velocity and pressure distribution of foam generator under different parameters were simulated and displayed by CFD (Computational Fluid Dynamics) software.
Aiming at designing the key structural parameters of foam generator scientifically, this paper simulated and displayed the velocity and pressure distribution of foam generator under different parameters by CFD software after presenting the design idea for a new type of foam generator.
The CFD Simulation of Foam Generator’s Key Parameters The velocity and pressure distribution of vortex flow in foam generator can be observed directly by CFD simulation software.
Converting the syntagmatic relation of them, the simulation results can be showed as Fig. 1.

In the CFD(computational fluid dynamics) study of hydrocyclones, the grid is a important factor to predicting the flow field.
The CFD study of the axial, radial and tangential velocity profiles have been carried out.
Nowakowski has Simulated hydrocyclones by CFD to make clear whether it is a realizable option or still a research challenge [2].
Two commercial CFD software of Fluent and CFX were used to simulate the hydrocyclone and get the Prediction of strongly swirling flow within an axial hydrocyclone [4].
The CFD simulation and experimental validation studies on hydrocyclone were carried out at the same time and got the conclusion that predictions using RSM model were found better in agreement with experimental results with a marginal error between 4% and 8% [5].

CFD Application for Performance Based Safety Verification of Reinforced Concrete Beam in Computer Simulation Building Fire Chia-Chun YU1, Shih-Cheng WANG2, Cherng-Shing LIN3 and Te-Chi CHEN4 1~4 Department of Mechanical Engineering Yuan Ze University Taoyuan, Taiwan 32003, R.O.C email: jjy5418@gmail.com Keywords: Fire, Reinforced concrete beam, Numerical simulation, Field model, FDS.
Therefore, computational fluid dynamic (CFD) integration to simulate fire scenarios has been widely utilized in fire protection engineering.
Therefore, CFD models have been developed to investigate building structure safety after a fire.
This study utilizes fire model FDS and CFD code PHOENICS software to investigate temperature distribution of RC beams during a room fire.
The PHOENICS is a general CFD code using Reynolds Averaged Navier-Stokes (RANS) method to investigate fluid flow, heat flow, chemical reaction, and stresses in solids.