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Three dimensional simulation of the heat dissipation of an automotive radiator based on porous media method Ning Kang 1, a, Nika Mo 2,b and Weiqi Zheng 1,c 1 School of Transportation Science and Engineering, Beihang University, Beijing 100191, China 2 Shanghai Volkswagen Automotive Company Limited, Shanghai 201805, China akangning@buaa.edu.cn, bmonikahit@126.com, awikizane@foxmail.com Keywords: Automotive radiator, Porous media, Heat dissipation, CFD, Least squares method, Fin structure.
Abstract. 12 kinds of automotive radiator cell models were simulated at different air inlet velocities using CFD software Fluent.
Introduction A lot of three dimensional simulation works about radiators have been carried out so far [1-3].
In this paper, numerical models of radiator cells and the whole radiator were simulated using CFD software Fluent.
Establishment of the Porous Model Simulation of the Cell Model.

The Computational Fluid (CFD) technology has been successfully used in the numerical simulation of the turbulent flow of centrifugal pump.In this article , we carry on the experiment by using uses ANSYS software,based on the standard k-ε model, SST model and BSL model , to get the the flow field of the numerical simulation of the impeller .We found that the simulation results and the actual results are different under different turbulence models.
The impellers is also the most important flow components of the Centrifugal pump.The impellers can directly change the original motivation mechanical energy to the liquid in order to increase the static pressure and kinetic energy of the liquid.So how to improve the performance of its hydraulic pump efficiency has great significance in improving its efficiency. [1].In recently,the CFD analysis techniques has been widely applied and gradually improved in fans, pumps and many other industries [2].In addition ,the CFD analysis techniques has slao become an important method to the pump body CFD numerical simulation of flow field for the optimization of pump [3,4,5,6,7].Furthermore, a large number of engineering in practice has proved that the numerical simulation results are quite reliable [8].However,the result of which model is most consistent with the practice is still a problem needed to be discussed.
But such errors belong permissible error, but also further validate the simulation accuracy.
[2] Zeng Yong zhong, Liu Xiao bing based Fine pump flow field numerical simulation [J].
Numerical simulation and large water pumping station hydraulic optimization [J].

In this article We analysis the CFD software named OpenFOAM and detailed testing its performance on high-performance computer, and we do analysis the results which provide a valid reference to the engineers. so there will be another choose of CFD software.
Introduction Last year we conducted a survey of small range and found that The most widely use of computer-aided tools CFD production is ansys, Fluent in all colleges and universities, research institutions, enterprises.
This stage Industrial design is very complex，CFD software will always cost so many time in computing.
The feature of OpenFOAM The OpenFOAM[1] is a free, open source CFD software package produced by OpenCFD Ltd.
[3] Tao Wei, Parallel Molecular Dynamics Simulation of Lysozyme Hydration on IBM Blade Center Cluster[J],ICIS,2010.10

CFD (computational fluid dynamics) simulations can be considered as the best options for research in wind flow area these days.
One of the problem of CFD is that it is prone for error.
Basically, all simulations in the hand of non-professional users is, but with CFD differences from reality are often 2 - 5 times [7].
Prior to the decision about final placement of FMS, a preliminary CFD simulation in CFD software OpenFOAM was created [13].
Franke et al., The Cost 732 Best Practice Guideline for CFD Simulation of Flows in the Urban Environment: A Summary.

The purpose of the paper is to simulate transmission efficiency for different bending radius of aerosol sampling inlet using CFD.
Results from simulations show that the greater transmission efficiency aerosol sampling inlet will be, the larger bending radius is.
The CFD model can effectively simulate the characteristic and loss of aerosol particulate matters through the bending tube.
CFD simulation In terms of aerosol particle trajectories, the maximum width of the shadow zone occurs at about 0.2 fuselage radius and for drop sizes and velocities for which the modified Stokes number S is ~6.
The simulation results showed that the tube size caused different transmission mechanisms.

In this work, a simulation of Artificial Neural Network (ANN) for determining the relation between airfoil geometry and its aerodynamic characteristics was conducted.
The results were validated using commercial CFD and it can be shown that the result are satisfactory with error approximately of 6%.
For ensuring the satisfaction of the results obtained in present study, the optimum results were validated with CFD analysis.
Figs. 6 show the comparison of aerodynamic characteristics in optimum condition of present method (solid lines) and CFD analysis (dotted lines).
Optimum shape of airfoil (a) (b) (c) (d) Present Method (GA + ANN) CFD Figure 6.

Experiment models CFD Analysis After the performance of CFD analysis in the north (N) direction, the result was comparable with the wind speed ratio obtained from the wind tunnel experiment.
The software used in the CFD analysis was STREAM 8.0.
Fig. 3 shows the CFD modeling.
Graph comparing the wind speed ratio before and after the construction of piloti Results of CFD analysis Figure 5 compared the wind speed ratio of the north between CFD and wind tunnel experiment for each experiment model and measuring position.
Comparison of wind speed ratio between wind tunnel experiment and CFD for each measuring position Conclusion This study chose three common forms of apartment layout and compared the wind speed ratio at different positions in the complexes through wind tunnel experiment and CFD analysis. 1.

In this paper, the latest CFD methods were adopted for simulation of railway body heat transfer coefficient.
Numerical simulation Simulation for body heat transfer coefficient was carried out by CFD program for PC computers.
By CFD program flow and temperature fields can be simulated, analyzed and displayed.
Figure 2 Two-dimensional model for simulation CFD model and boundary conditions CFD model For the simulation the inside or outside the vehicle was steady natural laminar flow with incompressible fluid.
Conclusion The latest CFD methods were adopted for numerical simulation of railway vehicle body heat transfer coefficient.

These examples demonstrate that the easiest and fastest method for verifying the accuracy of the numerical simulations is to compare the simulation results with those obtained from the experiments.
Numerical simulation Model Structure.
Simulation model define.
Figure 5 show the compared results between the experiments and the simulations for the three tire types.
Experiment and Simulation result for numbered A0, A1 and A2.

Simulation of Velocity Field of Two-phase Flow for Gas and Liquid in the Abrasive Water Jet Nozzle R.G.
Simulation on velocity field of gas-liquid flow in the abrasive water jet nozzle was studied by the computed fluid dynamics (CFD) software, The complex velocity field of the flow in the abrasive water jet nozzle can be obtained by means of simulation.
With the development of computer technology and computed mathematics, the CFD software was developed.
The following are the two equations used by CFD [5]: Continuum Equation.
Simulation Result and Discussion For the simulation of two-phase flow, the simulation equations are firstly discreted into the difference equations, then the procedure can be programmed.