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Flows Field Simulation of Two-phase Swirling Flows Finishing S.Q.
For avoiding blindness of experimental research and improving foresight of practical application, numerical simulation of compulsive swirling flows field on two-phase swirling flows finishing is done through CFD software(Fluent, Gambit), and it illustrates the feasibility of the process and provides credible theoretic basis for thorough research.
Before CFD computing on special problem, calculating area must disperse by messing.
Fig.2 Grid diagram of model Numerical Simulation.
The principle and application of CFD software (TSINGHUA University Press, China 2004) [10] Han, Z.Z., Wang, J. and Lan, X.P.

Research on Sand-blocking Mechanism of Fence Based on CFD Technology Zhi-Qiang Wanga,*,Zhi-Gui Qinb,Zhi-Kang Lic,Yi-Feng Hed,Bao-Feng Fue Northwest Institute of Nuclear Technology,Xi’an 710024,China azhiqwang@163.com, btuyi2000@sina.com, clizhikang@126.com, dheyifeng236@yahoo.com.cn, efbfeng_1988@sina.com Keywords: Sand prevention control;Sand-blocking fence;Numerical simulation Abstract.
The airflow field and sand movement path around fences of 0 and 40% porosity are of numerical calculation by CFD technology and the sand-blocking mechanism of fence is analyzed comprehensively.
Based on CFD technology, the wind field and sand movement path near the fence are calculated by numerical simulation respectively, the main factors influencing the sand deposit are analyzed combined the two and the sand-blocking mechanism of fence is analyzed more comprehensively in this paper.
Research Method 1.1 Numerical simulation At present, there are two research methods of the two-phase flow of wind sand: Euler-Euler method and Euler-Lagrange method.
This research further deepens the understanding of the sand-blocking mechanism of fence and also reflects the potential of CFD technology in studying wind-sand movement.

In the present work, the commercial CFD code FLOW 3D™, has been used to simulate the mould filling and solidification during the LPC process.
Such variables can be easily optimized using simulation techniques.
The present study uses FLOW 3D™, which is a finite difference method (FDM) based commercial computational fluid dynamics (CFD) code for analysing fluid flow and heat transfer occurring throughout the LPC process.
Initial and Boundary conditions The pressure sequence used for the simulation is depicted in Figure 1(b).
For solidification simulation only the energy equation is solved including phase change.

CFD simulation was done using STAR CCM+7.04.006 (64-bit version) software.
Table 2 summarizes the properties of mesh used in author’s CFD analysis.
The skin friction coefficient is obtained from CFD analysis.
For example, Ref. [2] shows that their APG flow has the least skin friction, however the APG section in this simulation has the largest skin friction.
Acknowledgements The authors would like to thank UKM-Perodua grant for the development of the car and FRGS/1/2013/TK01/UKM/03/1 for detailed CFD simulations.

New blade ANSYS ICEM CFD is used to generate unstructured grid.
The flow field simulation of a wind turbine can be divided into outflow field and rotational flow field.
Powers of new design blades produce from ANSYS/CFD and comparisons with original blades are shown in Table 5 and shown in Fig. 8.
Flow lines with rotor speed 630r/min and wind speed 5.5m/s produced from CFD for both models of blade are shown in Fig. 6 and Fig. 7.
Simulation of wind turbine blades pre-bending technology [J].

A paraboloid-shaped computational domain was prepared for CFD analysis comprising two local refinement regions as shown in Figure 6.
The results of steady-state CFD analysis were then mapped for a coupled thermo-structural simulation to study the structural response of the wing to aerothermal loads.
The simulation was performed for a duration of 120 s using ANSYS Mechanical.
The results of CFD simulation were used in transient thermal analysis where the temperature distribution and total heat flux in the structure were analysed.
Zhang, Numerical simulation of hypersonic flow around an aerospace plane by Parallel RANS based CFD, Procedia Engineering, Vol. 61, (2013)

Numerical simulation of aerodynamic performance of the wing with edge of attack and sinusoidal escape.
Development of a Low Noise Drone Propeller Using CFD Simulations [Lund University]. http://lup.lub.lu.se/student-papers/record/9131449 [22] Sereez, M., Abramov, N.
Computational Simulation of Airfoils Stall  Aerodynamics at Low Reynolds Numbers.
Optimal Design and CFD Analysis of Wing of a Small-Scale UAV to Obtain Maximum Efficiency.
Wind Tunnel Experiment and Numerical Simulation of Secondary Flow Systems on a Supersonic Wing.

The k-ε two-equation turbulence model is used in the numerical simulation by FLUENT.
The development of CFD (Computational Fluid Dynamics) offers a possible means to substitute wind tunnel test[5].
The numerical simulaton uses CFD method to simulate the ambient airflow distribution when airflow comes by bridge structure.
The k-ε two-equation turbulence model is used in the numerical simulation taking account of turbulence effect.
The Reynolds number effects of three component coefficients of bridge deck section using CFD.

Simulation and Analysis of the Temperature Rising for Cylindrical Power Batteries LIANG Peng1,a, LI Maode1,b 1College of Mechanical Engineering, Tongji University 4800 Cao-an Road, Shanghai 201804, China aliangpengtj@hotmail.com, blimaode@tongji.edu.cn Keywords: power battery, temperature rise, internal resistance, simulation Abstract.
By carrying out necessary experiments and using CFD simulation tool we get a better battery temperature rising curve and contour of internal temperature distribution under different operating conditions.
To adjust the internal heating rate according to the fitting curves above, the user-defined function (UDF) built in CFD simulation tool FLUENT can be activated to help.
TEMPERATURE RISING SMULATION By using CFD simulation tool FLUENT we simulate the battery transient heat transfer process and get a set of temperature profiles at the center of the battery under different discharge rates(1.0C, 2.0C, 4.0C) and heat dissipation conditions(h =5 W/m2·K, 15 W/m2·K, 30 W/m2·K), and suppose batteries are fully charged at initial state.
Variation trend of internal resistance is observed and implemented into simulation.

The CFD simulation serves for analysis of the fluid flow around the profile and to evaluate the results for the static and dynamic pressure values.
Then a two-way-FSI, the calculated results are continuously interchanged between the CFD and FEM analysis tools .
For the CFD analysis an incompressible, transient flow simulation was established using FLUENT, which is one of the major CFD solvers integrated in the ANSYS Workbench.
Accordingly, the necessary computing time is large compared to an conventional stationary CFD analysis.
To reduce computation times, the RANS (Reynolds averaged Navier-Stokes equations) k-ε model was used in the CFD simulation.