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CFD analysis indicates that unstable vortices exist between runner blades.
To accurately find out the causes of vibration and noise in this power station, by checking the data, combining with the existing mature experiences about the transformation of the hydropower station at home and abroad, through plotting vibration points on the turbine performance curve and CFD simulation, it is learned that the vibration and noise are brought about by the channel vortices at higher head than the rated head, full load and overload.
CFD numerical simulation.
To further verify the vibration and noise were caused by the channel vortices, hydraulic parameters of the vibration operating points were reviewed and calculated under the CFD numerical simulation.
For example, vibration point a is marked by the head 62.59m and power 20.619MW, the CFD calculated results are in Figure 4-7.

Computational Model Setup & Conditions Steady State Computational Fluid Dynamics (CFD) Simulation.
In the fluid domain, the Navier-Stokes equations were solved simultaneously in CFD simulation.
Based on the numerical procedure described previously, the results of CFD simulation are presented in Fig. 3~8.
Numerical results of the CFD analyses were then applied as thermal loads in the following mechanical simulation.
Results from CFD analysis were then used as thermal loads and input in the following thermo-mechanical simulations.

Early attempt to use Computational Fluid Dynamics (CFD) in simulation of 3D tanks can be found in [3].
They used general purpose CFD programs which were applicable only for limited cases.
The study involves CFD modelling based on a three- dimensional geometry using a commercial CFD package.
Computational Details A commercial finite-volume CFD code, FLUENT® has been used in this study. 3D simulations have been implemented with similar characteristics of mesh generation and solver setup with laminar flow.
E. in: Sloshing in a three dimensional rectangular tank: Numerical simulation and experimental validation.

The CFD (Computational fluid dynamics) based solutions are also investigated.
So the CFD technology is used as a medium to load the plasma.
The CFD model for plasma sheath needs more study.
One basis of Monte Carlo simulation is random number generation [19].
Except for the experiments, the numerical simulations for plasma sheath are investigated.

The simulation is running at 0.1 Mach number or about 35 m/s.
All results are obtained from CFD simulation.
Fig. 1: UiTM’s BWB UAV Baseline-II E-4 with deflected split drag flaps on right wing Fig. 2: Direction for positive sideslip CAD Model and CFD Simulation Procedure The drawing of the BWB has been executed under CATIA V5R20.
The simulations are executed from 0° to 30° sideslip angles (b).
Curves of CD, CS, and Cn obtained from CFD simulation are observed and discussed.

At present, with the development and mature of CFD technology, CFD is more and more applied in engine.
In this paper, it adopts large Reynolds number turbulence model for cooling water jacket of flow numerical simulation.
Make numerical simulation for the cooling water jacket flow in Large Reynolds number turbulence modelin this paper.
Conclusion Due to the CFD techniques become more mature and computer ability of the rapid increase, the application of CFD numerical simulation technology can guide engine jacket optimization design of structural design so as to ensure high efficiency, rationality and reliability[7].Now,we can get some conclusion as follows: (1) The pressure distribution of the cooling water jacket in the engine improved is reasonable and well relative to the previous
CFD Calculation and analysis of cooling jacket flow and heat transfer for car engine [J] .

The Computational Fluid Dynamics (CFD) is for solving the flow and heat transfer problem[2].
CFD research has more merits like low cost and high speed compared to the experimental research .At the end of the 1960s, the CFD technology has applied in industry related to fluid mechanics widely[2].
CFD has a wide range of applications in many of the heat sterilization process of juice.
Fig.1 mesh of orange juice in tin Fig.2 the initial stage temperature of juice Cooling Process CFD Simulation of Orange Juice Maximum Temperature of Orange Cooling Process.
In the transient cooling process simulation, the temperature between the center point and the wall point was different, which indicates that heat transfer needed times to make the orange temperature filed uniform.

An initial attempt is also made to predict the blood damage from these simulations.
This paper presents a three-dimensional numerical simulation of a micro-axial blood pump, which aims to understand the detailed fluid dynamics of the micro-axial blood pump and assess the potential of using the CFD results in a theoretical blood damage prediction model.
In order to accurately understand the blood flow in a micro-axial pump, it was necessary to perform a flow simulation.
This assumption of Newtonian behaviour holds for the shear rates found in this simulation.
Here we make an initial attempt to estimate the blood damage from the CFD simulations.

The simulation is performed for 12 PLCC under different inlet velocities and chip powers.
Three-dimensional analyses of heat and fluid flow over a single 84 pins-PLCC package mounted on a printed circuit board (PCB), treated as a conjugate heat transfer problem were reported from Quadir et al. (2000) and Jayakumar et al. (2004) who used Fluent, the CFD software, for the simulations.
The Simulation Model Three dimensional structured meshes are used for the flow simulation in the twelve packages.
Seetharamu, Application of CFD in Cooling Electronic Packages, The Seventh Asian Congress of Fluid Mechanics, pp 777-780, December 1997
[24] M.Mohamed, R.Atan, “Three Dimensional CFD Simulations By Using FLUENTTM Software To Determine Junction Temperature On Electronic Components By Using Nano-material, Nano-Silver ”, Scientific Research Journal (SRJ), Jun 2011.

Computational fluid dynamics (CFD) simulation technique is a scientific technique that allows improvement of cleanroom configuration without interfering with normal processes.
Zhang [6] investigated the biological contaminant control strategies under different ventilation models in the hospital operating room by using CFD simulation.
The dispersion of infectious particles from both surgical team and patient were examined through CFD analysis.
A commercial CFD code, STAR-CD [8], was used to simulate the airflow of operating room.
The performance improvement strategy with a physical partition curtain could be assessed and identified through the technique of CFD simulation for airflow distribution and the concentration decay calculation at specified monitoring points.