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Greet agreement of diameter changing tendency was found in simulation and experiment.
However, the computer fluidic dynamic (CFD) method compensates the shortcoming of experiment process.
A typical co-flowing model used in the computational fluid dynamics (CFD) was created which was composed of two cylinder tubes, showed in Fig.1.
A typical dripping formation of droplets was processed in simulation and experiment.
This relationship was also found in numerical simulation, showed in Fig. 4b.

Experimental verification showed the experimental results accorded with numerical simulation.
Numerical Modeling Computational fluid mechanics (CFD applications) has changed the traditional design process.
Simulation Results and Analysis.
The experiments and simulations of temperature distribution in the collector were compared as follows, showing experimental and simulation results were consistent.
[5] Wenfang Li, Shuhui Xu: Numerical Simulation study on a Flat-plate Solar Air Collector, EEIC 2011

COMSOL Multiphysics software is employed for simulation.
The maximum and minimum flux density values have been obtained from the simulation using COMSOL Multiphysics software.
The magnetic flux density values have been arrived from the COMSOL simulation.
Conclusion In this study the flow of MR fluid in annular orifice has been simulated using CFD approach.
References [1] Engin Gedik, Hüseyin Kurt, Ziyaddin Recebli, Corneliu Balan, Two-dimensional CFD simulation of magnetorheological fluid between two fixed parallel plates applied external magnetic field, Computers & fluids, 63 (2012) 128–134

Simulation study on a new type of cooling device used in heat dissipation of Server Chao Guo1,a, Fang Wang1,b, Yan Qu1,c and Na Jin1,d 1University of Shanghai for Science and Technology，Shanghai 200093，China a233155660@qq.com, bwang1996930@163.com, cquyan0911020105@163.com d1139819328@qq.com Keywords: Server CPU, Heat dissipation, Evaporative cooling, Air fluid temperature simulation Abstract: A new type of cooling device used for server is designed in this paper.
C-W.Yu and R.L.Webb[1] gave the analysis and the experiment of the PC thermal design with the help of CFD numerical simulation.
Enrico Dallago [2] combined the simulation and the experiment and research the TCP performance of the Pentium processor inside of the laptops.
Finally discuss the possibility of applying evaporative cooling of the server. 2 Temperature simulation on forced air cooling 2.1.
Webb, Thermal design of a desktop computer system using CFD analysis．Seventeenth IEEE SEMI-THERM Symposium.(2001),p18-26 [2] Enrico Dallago and Giseppe Venchi, Thermal Characterization of Compact Electronic System：A Portable PC as a study case.

The numerical simulation was realized by using a computational fluid dynamics CFD code.
Nine different outlet geometries with different contraction ratio are investigated numerically by the Large Eddy Simulation.
The governing equations are computed with the CFD code Fluent [11].
The SST K- ω Model The SST k-ω turbulence model is a two-equation eddy-viscosity model that is used for many applications in CFD.
Computational Details In this numerical simulation the performed commercial CFD code was used for U-RANS to predict the swirling flows and the finite-volume method is used to discretize the equations of fluid flow.

This plume was simulated using a computation fluid dynamic (CFD) software package, FLUENT (Fluent, Inc.).
Varying airflow directions were adopted instead of the fixed airflow direction, the varying airflow entered into the windows of the indoor simulation domain at a constant 5m/s velocity but varied between ±22.5º during the simulation.
Fig. 1: Instantaneous distribution of plume in the indoor arena with three obstacles (the rectangular white blocks) An advantage of using CFD numerical simulation is that it can simulate plumes precisely; a disadvantage is that we can not simulate a mobile robot in CFD simulation environment.
With the virtual-physics forces, robots maintain the regular polygon formation while moving toward the chemical source in the indoor simulation arena.
A simulation framework for plume-tracing research.

Analysis on Vibration Characteristics of Wind Turbine Blade to Improve the Effectiveness through CFD Developed by ANSYS M.
Fig. 1: CD/CL Ratio Variation Vs Angle of Attack CFD Analysis CFD analysis was performed on S1223 airfoil profile with the tip chord length of 10mm in order to analyze the flow behavior around the airfoil body and to calculate the performance coefficients at Re 1.0×105 and at angle of attack 10 degrees.
The simulations were computed in the 3 D software of ANSYS R16.0.
International Journal of Applied Engineering Research, Vol. 10(62) (2015), pp. 112- 117 [25] Xin Jin et al.: Investigation into parameter influence of upstream deflector on vertical axis wind turbines output power via 3-D CFD simulation.
Energies, Vol. 5 (2012), pp. 3425-3449 [30] Mahawadiwar et al.: CFD analysis of wind turbine blade.

The total dependance on experimental methods can be reduced by implementing the CFD techniques.
The current work uses the commercial CFD code FLUENT to model and simulate the performance of turning diffusers.
The commercial CFD code FLUENT 6.3.26 is used to simulate the model by adopting the SIMPLE algorithm solution.
This is mainly due to the assumption made in the simulation which the inlet velocity is fully developed and uniform.
Cheung, “A flow analysis for a turning rapid diffuser using CFD,” J.

Simulation Analysis of Bidirectional Fluid-solid Coupling for Hydrodynamic Coupling Wexing Ma1,a , Xiaowen Shen1,b, Xiuquan Lu1,c*,Longfei Ji1,d 1.
Establishment of computational analysis model The simulation procedure of bi-directional fluid-solid coupling interaction is shown in Fig.1 , the structure and fluid calculation model are established in the corresponding calculation module, and then put them into fluid-solid coupling solver to iteratively solve.
Fig.1 Simulation procedure of bidirectional fluid-solid coupling The mesh model of bidirectional fluid-solid coupling is shown in Fig.2.
a)CFD b)Fluid-solid coupling Fig.4 Pre-interaction and after-interaction pressure distribution of axial section Fig.5 shows that stress variation of turbine blades during the time hydrodynamic coupling works from starting to steady state.
Simulation and Analysis of Fluid Structure Interaction for Impeller of Hydrodynamic Coupling[D].Changchun: Jilin University,2009

Yun[7] used the CFD method to simulate the smooth microchannel and found that fRe in the microchannel is no longer constant at the laminar flow stage and that the transition is earlier than conventional scale, the Rec = 300.
This paper adopts the CFD method to carry out two-dimensional numerical simulation of flow in the microchannel between the parallel flat plates, and determines the Rec.
"Fluent" software is used to conduct the two-dimensional numerical simulation of the flow characteristic in the microchannel.
Conclusions A numerical simulation was performed on the flow behaviors in the microchannel.
This may explain why the Rec obtained by simulations is smaller than experimental data in literature