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The cavitation flow characteristics in jet pipe amplifier with different nozzles were simulated using commercial computational fluid dynamics (CFD) software.
The simulation results are shown in Fig. 2.
Fig. 3 shows the simulation results.
The simulation results are shown in Fig. 4.
The simulation results are shown in Fig. 7.

This paper presents a simulation of falling behavior for a torpedo anchor using a CFD model and analyzes the effects of hydrodynamic parameters to the directional stability of the free-fall anchor.
Naming the model as H4.36 (named using ‘H’ and ‘x value’), the 300m height falling procedure of the model, from 2700 to 3000 m undersea, can be simulated by using a CFD software.
Table 1 summaries the simulation results of the above three models.
Simulation results.
The simulation results of the three models are listed in Table 2.

This paper uses Computational Fluid Dynamics (CFD) software FLUENT to study the flow field of oil air, and different air pressure and nozzle throat size are discussed.
Many scholars research the nozzle used Computational Fluid Dynamics (CFD).
Dong [4] studied a new kind of two-stage atomizing high pressure spray nozzle used CFD, and the two-stage atomizing nozzle were optimized successfully.
Jeyakumar [6] studied the flow pattern of atomizing gas in the atomization process used CFD.
This paper used CFD software FLUENT to study the flow flied of oil air jet, and the diameter distribution at different air pressure and throat diameter of the nozzle.

Computational fluid dynamics (CFD) studies of an intake SBLI configuration will be carried out, and results will be validated by comparing with the experimental measuremts.
Improvement of CFD predictions on shock induced flow separation will be demosntrated.
The wall temperature of 300 K is kept as constant in all simulations.
All simulation uses high-resolution (2nd order) scheme and runs in double precision.
Mach number contours (left) and velocity vectors superimposed with streamlines (right), illustrating shock-induced separation bubble from CFD simulation using a standard k-ε model.

The flow characteristic and differential pressure-flow of inlet blockage fault and trouble-free for control valve are numerical simulated by CFD.
Fig.2 Valve core shape Fig. 3 Ideal flow characteristic curve Blockage Fault Simulation Flow Model and Meshing At the interface section of valve and pipeline, the block of 80 mm high and 45 °gradient is designed to simulate the internal flow field of inlet blockage fault.
Table 2 Simulation Settings settings solver turbulence model media boundary conditions parameters separating Standard k-ε equation mixed gas pressure inlet / outlet Analysis of Simulation Results Analysis of Flow Characteristic Fig.5 is the flow characteristic of trouble-free and inlet blockage.
Conclusion Establishing the valve trouble-free and inlet blockage flow model, and applying the CFD numerical simulation of flow characteristic and differential pressure-flow, obtained the following conclusions
Process Equipment﹠piping, 2009, 46(2):47-51. ( in Chinese) [4] Yantao An, Rujian Ma, Yong Wang, Simulation and Analysis the Internal Flow Field of Control Valve Bonnet Leakage, Applied Mechanics and Materials [J], 2013, 425, 2078-2081

Numerical Simulation of Internal Flow in Stamping and Welding Multistage Centrifugal Pump Yuanyi Liu1,a, Ruiguang Li1,b and Kai Sun1,c 1School of Mechanical Engineering, Shandong University of Technology, Zibo, 255049, China aliuyy@sdut.edu.cn, brg_lxd@yeah.net, cnetforce@163.com Keywords: Stamping and welding multistage centrifugal pump, Numerical simulation, Impeller, FLUENT Abstract.
Based on the Reynolds time-averagedequations and standardtwo-equation turbulent mode, using multiple reference model and wall function method, the inner flow fields were simulated which is a part of three different kinds of impeller on stamping and welding multistage centrifugal pump by CFD software FLUENT.
Based on this situation, numerical simulation is conducted to one components of the multistage pump containing draft-tube, guide vane and impeller.
This paper selects one component of the multistage pump to go on numerical simulation which reveals the flow condition more truly, calculated region is shown in figure 1.
Wang: Computational Fluid Dynamics—CFD principle of software and analysis (Tsinghua University press, China 2004)

We have used the 2D Finite Element Method for calculating the characteristics of brushless DC (BLDC) motor, computing fluid mechanics (CFD) as numerical analysis for blade design.
We have used the 2D Finite Element Method for calculating the characteristics of brushless DC (BLDC) motor, computing fluid mechanics (CFD) as numerical analysis for blade design.
The blade's performance in design step can achieve computing fluid mechanics (CFD) as numerical analysis.
After the boundary conditions are specified and the solution models are selected, the iterations are performed in SC/Tetra (commercial CFD simulation software).
The fan blade's performance in design step could achieve computing fluid mechanics (CFD) as numerical analysis.

Using ANSYS-FLOTRAN CFD software, finite element simulation was conducted by a series of procedures, such as two-dimensional model building, meshing, applied loads and equation solving, we calculated the flow distribution in the sensitive component of fluidic gyroscope with single nozzle and nozzle array.
Fig. 2 Nozzle schematic diagram of fluidic gyro FLOTRAN CFD analysis capabilities in ANSYS is an advanced tool which is used to analyze two-dimensional and three-dimensional fluid flow distribution, and also can be used to simulate the movement of airflow in the sensitive chamber [4].
This simulation usually consists of three steps: modeling, applied load and calculation
Table 2 Airflow velocity at the thermal resistor wires with nozzle array structure ωj(rad/s) v m/s) 0 0.01 0．05 0.25 L R L R L R L R vX -0.17080E-01 0.17081E-01 -0.17089E-01 0.17071E-01 -0.17127E-01 0.17034E-01 -0.17314E-01 0.16847E-01 vy 0.40811 0.40811 0.40810 0.40813 0.40802 0.40820 0.40766 0.40856 1.25 6.25 12.5 20 vX -0.18245E-01 0.15911E-01 -0.22817E-01 0.11213E-01 -0.28421E-01 0.52058E-02 -0.34889E-01 -0.19745E-02 vy 0.40586 0.41036 0.39684 0.41923 0.38548 0.43012 0.37197 0.44269 Conclusions Using ANSYS-FLOTRAN CFD software, finite element simulation was conducted by a series of procedures, such as two-dimensional model building of fluidic gyro, meshing, applied loads and equation solving, we calculated the airflow distribution in the sensitive component of fluidic gyro with single nozzle and nozzle array.
[4]Guoqiang Wang: Numerical Simulation Technology of Practical Engineering and its Practice (Northwestern Polytechnical University Press, Xi’an 1999).

Therefore, we planned to design a novel rotor-type micromixer and to explore the mixing flow mechanism with CFD method.
One complete cycle of rotor motion was performed with 1080 time steps and the iteration number for each time step is 200 to ensure the convergence of simulations.
We intended to multiple the original number into two and four times then conducted the CFD runs.
For improvement the simulation efficiency, further CFD runs were conducted with the 2x density grid system which represented the grid number was 10710.
The present work employed CFD model and dynamic mesh technology to test a variety of operating conditions on the mixing efficiency.

As Cartesian grid can extend through the surfaces of geometry which incidentally produces irregular cut cells, accurate imposition of the solid wall boundary condition is essential for its success in CFD.
The GBCM approach and conventional symmetry technique (ST) approach are compared to validate its accuracy in the flow simulations with complex geometric configurations.
It is pointed out that solution-based adaptively refined grid generation approach should be a fundamental technique for a flexible and reliable CFD simulation [11], according to the numerical simulation experiences by Boeing’s TRANAIR software.
Initial coarse grid has 16×16 cells, firstly cut cell adaptions and curvature cell adaptions are applied, and then numerical simulation is carried out on the previous grid.
Conclusions Least-squares fitting has been employed for interpolating reflect point to prevent ambiguity of stencil points, and GBCM approach has been successfully extended to the adaptively refined Cartesian grid in CFD.