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Car radiator of the whole simulation based on CFD Pan xianfeng, Cao weiwu Address Shanghai City, Song jiang District, Shanghai University Of Engineering Science,training building of 5th,room5204 Email bigpan4011@163.com Key words: radiator, numerical simulation, optimization design Abstract. in this paper the temperature and the flow field of the radiator use CFDESIGN software test has carried on the simulation calculation of the radiator, the radiator heat transfer analysis of the whole calculation data and the details of the internal flow in a heat dissipation unit.And data obtained can be in normal acceptable error range, so this paper uses the algorithm is correct and available.This paper summarizes a series of radiator simulation steps, for the following radiator optimization design is proposed to write a set of scientific method.
Since the mid 1980s, Asako and Faghri [1] by using finite volume method to predict the in Re number is 100 ~ 1500, the performance of the corrugated pipe laminar flow and heat transfer in the parameters.Kajino [2] hypothesis model based on zero fin thickness on the fin performance is forecasted.Joshi and Webb, [3] for shutter fin unit on the two-dimensional numerical simulation of flow and heat transfer.NorifumiMaetani [4] using the numerical analysis methods, such as three rows of tubes come to the optimal design of heat exchanger fin.Rokni [5] by using numerical simulation methods, such as the forced convection heat transfer in trapezoidal duct are analyzed in the simulation.Atkinson [6] and so on, respectively, by using 2 d and 3 d mathematical model for the compact heat exchanger of louver fin has carried on the numerical simulation of flow and heat transfer.
Along with the high-speed development of life information, the development of the computer simulation work is rapidly, so they have appeared in the development of a number of commercial fluid calculation software, and for commercial fluid calculation software was born make eased radiator design work.Next to the experiment and numerical simulation of the flow of the two aspects of heat transfer, the whole radiator and radiator units of local heat transfer simulation calculation.And open a window to 23 degrees outside air mass flow rate of 3.65 kg/s, for example, provide the chart of the simulation calculation steps below: 1.1 Simulation of the radiator pipe flow as a whole For prototype radiator cooling water pipe thickness only 2 mm up and down, so there is no way to measure with instrument to its internal flows.SO we had to first conduct the water resistance of the radiator, and the simulation of internal flow characteristics.
To achieve the radiator cooling water pipe of the distribution of water flow, we need to build on the basis of the simulation of heat transfer units .
the above problems is the fundamental of tube flow problems, when using CATIA with the same models of prototype radiator, will be very simple computing the accurate simulation results.0.016 kg/s is measure the flow rate of pipe flow of average quality. 1.2 Simulation of the heat exchange unit values Because of complex structure and prototype of scattered tropical heat sink size is too big, leading to the modern computer hardware cannot reach the desired objective simulation calculation, So the simulation analysis was carried out on the radiator local cooling unit and this method is on the heat transfer and resistance characteristics of the radiator and the overall flow of more thorough system analysis, study the most practical and most effective method.Because fin surface itself, on the other hand, in the heat dissipation, and the shape is very complex, coupled with the heat transfer in the process of heat transfer and flow will be more complex.

In this paper, the circle perforated grid plate as a new design has been studied for the fractal grid through a simulation process.
To analyze the turbulence intensities and axial velocity commercial CFD software – Fluent 6.3 was used to in order to predict the mean axial velocity (U mean), Turbulent Intensities (U’), Urms and Vrms.
Fig. 2: Computational domain in CFD for turbulent generator with various blockage ratio and diameter of the holes The mesh quality was be evaluated using the EquiAngle Skew (QEAS) criterion, which are lower or equal to 0.2 for more than 95 % of the control volumes.
Results and Discussion Upon completion of simulation, data was extracted on a horizontal plane (centre of the cylinder).
References [1] Vassilicos, S.L.A.J.C., Direct Numerical Simulation of Fractal-Generated Turbulence. (2009)

Numerical simulation shows that leading edge Coănda-jet blowing was found to be helpful in increasing power generation at leading edge separation cases, while a TE blowing jet otherwise [15].
CFD simulation of the lift coefficient CL versus Coănda -jet momentum coefficient Cµ by De la Montanya et al. [20] and Harvell et al. [21] confirmed such notion, although there was a little difference in the jet slot place and shape of the airfoils, as exhibited in Figure 4.
Numerical simulation using commercially available Navier-Stokes CFD method is carried out and a critical scrutiny of the computational procedure and grid generation is performed.
Liu, Numerical simulations of the aerodynamic characteristics of circulation control wing sections, Georgia Institute of Technology, 2003
Ahuja, Numerical simulations of the steady and unsteady aerodynamic characteristics of a circulation control wing airfoil, AIAA, 2001

Table 2 shows the comparison on simulation parameter generally used by this study and by [3] for validation purpose.
Table 2: Comparison parameters use for validation purpose Simulation Parameter Present study (evaporation model) [3] Tank Volume 35062 m3 36250 m3 Time step 1 hour 5 minutes LNG Density 452 kg/m3 452 kg/m3 Ambient temperature 5oC 5oC Overall U 0.4 kJ/m2.K 0.4 kJ/m2.K LNG Composition 100% methane 90% methane 10% ethane Operation Pressure 101.3 kPa 101.3 kPa Fig. 2 : Comparison on CFD simulation result The analysis done based on single independent scenario as follows.
(a) (b) Fig. 3: a) Boil-off rate and b) Total boil off gas as a function of voyage duration Fig. 4: Contour and profile of (a) vapor volume fraction (b) vapor temperature and (c) velocity magnitude for Air Temperature =318K, Seawater Temp=305K, U=0.411 at centre of the tank (z=20m) Conclusion The use of CFD code in ANSYS Fluent can be utilized in modeling the vapor behavior of LNG inside tank.
However, the right and correct use of the model is very important in simulation the model.
C.: CFD Simulation of Compressible Two Phase Sloshing Flow in a LNG Tank.

Abstract. adopting the k-ε standard model, the CFD simulation software to simulate the indoor kitchen and toilet different row of indoor air volume air distribution in natural ventilated circumstance, by comparison results show that different row of indoor air volume changes in the rate of secondary pollution rate, and then to provide the change rule of indoor air quality protection reference basis.
Numerical Simulation Physical model.
Simulation of area of 103m2 room.
Fig.1 Simulation modeling the three-dimensional Fig.2 The simulation of the room plane model of the room models CFD Numerical simulation conditions setting In the numerical simulation calculation, Condition set below.
So through the simulation of indoor air distribution method, research that reasonable kitchen, toilet row is necessary to air.

That is, it reduces the dependence of step in the drag reduction design, and improves the robustness of the adjoint-based airfoil drag reduction optimization design method. 1 Introduction With the rapid development of high-performance computing, the high-fidelity CFD codes such as Reynolds-Averaged Navier-Stokes (RANS) codes have been widely applied to aerodynamic design of aircraft.
The CFD-based aerodynamic design methods can be mainly categorized into two classes: optimization design and inverse design.
From an optimization point of view, both optimization design and inverse design need to solve an optimization problem by coupling optimization algorithms with CFD simulation codes.
When high-fidelity thus time-consuming CFD codes are employed, the optimization procedure becomes demanding.
The Baldwin-Lomax zero-equation turbulence model is used for turbulence flow simulation.

Study on the Influence of the Quantity of Grooves on Performance of New Balance Drum Lu Hequana, Mu Jiegangb, Zheng Shuihuac, Zhao Jinjingd, Wang Huie College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China aluhe52@126.com, bmjg1963@126.com, czneu@zjut.edu.cn, dzjjasp@126.com, e467094560@qq.com Keywords: multistage centrifugal pump, axial force, balance drum, clearance leakage, numerical simulation Abstract: A new type of balance drum with grooves was presented, and analyzed the influence of quantity of grooves on performance of centrifugal pump and balance force by the method of numerical simulation and experiment.
After that, we can study the three models by CFD software and experiments of model machine, and compare the results that achieved by the numerical simulations and experiments.
Table 2 The result of numerical simulations of the three programs Quantity of groove N 8 12 16 Leakage losses qv [m3/h] 6.624 5.764 4.583 Differential pressure ΔP [Mpa] 2.759 2.790 2.832 Experimental study Test equipment.
Application of CFD to turbulent flow analysis and performance prediction in hydraulic machinery [J].
Numerical simulation of the dynamic effects due to impeller-volute interaction in a centrifugal pump [J].

Numerical Simulation of Flow-Induced Corrosion in One-Strand Tundish Zhang Meijie1,a, Lin Xiaolong1,b, Wu Yan 2,c and Huang Ao1,d 1 Wuhan University of Science and Technology, Wuhan 430081, China 2 Foshan Ceramics Research Institute Co., Ltd, Foshan 528031, China a major6886@yahoo. cn Keywords.
And then, the characteristics of molten steel flow and the distribution of temperature and the refractory wear factor in a one-strand tundish equipped with flow control devices of a turbulence inhibitor, a weir and a dam were numerically simulated using the commercial CFD software.
In this paper, the tundish refractories wear factor was defined at first and then their distribution with different flow control devices were numerically calculated by CFD software.
[3] P K Iwamasa, G A Caffery, W D Warnica, S R Alias: Inter Conf on CFD in Minetal and Metal Processing and Power Generation.

It is needed to simplify the simulation model.
Analysis on Fluid Field Simulation of Multi-gear Pump[J].
A novel CFD-Axial motion coupled model for the axial balance of lateral bushings in external gear machines[J].
Simulation Modelling Practice and Theory. 2012(26): 60-76
CFD Investigation of Gear Pump Mixing Using Deforming/Agglomerating Mesh[J]. 2007, 129(4): 476-484

For the numerical solution it was used the Computational Fluid Dynamic (CFD) commercial code FLUENT®, based on the Finite Volume Method (FVM).
The computational domain (OWC coupled to a wave tank) was created and discretized in GAMBIT® software, while the numerical simulations were carried out by means a computational modeling implemented in the Computational Fluid Dynamic (CFD) commercial software FLUENT®, which is based on the Finite Volume Method (FVM) [7,8].
In the simulations of this study, two different phases are considered: air and water.
All numerical simulations were carried out in a computer AMD Athlon 2 Core with 3.0Gb of RAM.
To reduce the simulation time the parallel processing technique was adopted [6].