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In this paper , by using CFD method and getting benefit from the established CFD software, we gave external velocity field and pressure field of the car.
Method of Analysis In the CFD analysis, the computational domain was set to be46m in length, 10.85m in width, and 8m in height for the car.
The generic car model was chosen, not limited to a sedan, for the sake of showing the general meaning of CFD analysis.
Fig. 2 illustrates the computational field of the CFD simulation.
Numerical simulation on characteristics of turbulent flow around two cars driving side-by-side[J].

Fig.1 Imaginary flow pathway of the brake condition In order to explore flow mechanism of tractive and brake process of HTRA, numerical simulation of flow field was studied by Xiang and Li etc [3~4].
So in this paper CFD numerical simulation was implemented to evaluate the relationship between rational speed of pump wheel and brake torque of D490 HTRA by general commercial software CFX.
Brake performance analysis The numerical simulation method based on computational fluid dynamics (CFD) was applied in this paper to calculate this runaway speed.
The contrast curves of CFD calculation results and the test results was shown in Fig.8, wher TPtest and TTtest was separately the test results of the pump and the turbine torque , their difference Ttest was the brake torque, and Tcalc is the calculation result by CFD.
So in this paper, the idle speed of stator was drawn by CFD analysis and the value was nS=1175r/min.

Several researchers and scholars have carried out considerable efforts to determine the temperature distributions in the pressurizer surge line by various means, i.e. experimental setup of particular geometry, surge line temperature monitoring programs, theoretical predictions, numerical calculations and 2D (two dimensional) and 3D CFD (Computational Fluid Dynamics) simulations.
To take into account the fluid structure interaction (FSI) conjugate heat transfer (CHT) analysis is incorporated into the CFD analysis.
The CFD calculations are performed for total time of 500 seconds with time step size of 0.1.
Results and Discussion The sensitivity tests to obtain the optimum values for number of hexahedral elements and transient simulation time step are performed.
The simulation is carried out using CFX commercially available CFD software and turbulent flow is considered with RNG k-ε turbulence model.

In order to predict the amount of flow leaking through the clearances of the tube passes, a numerical simulation was carried out using the computational Fluid Dynamics CFD Fluent Software.
Mathematical Model The mathematical model for this simulation is based on the governing equations of fluid motion, which have been applied in CFD to simulate the fluid flowing through the clearance between the tube-passes partition plate and the wall of the head of the heat exchanger.
The more relevant performance parameters in this simulation were the velocity and the flow rate, which were obtained using the CFD Fluent software.
Simulation results.
[7] NAFEMS Seminar: Numerical Simulation of Heat Transfer.

Simulations on Modified Burner Configuration using CFD Almon Chai Swinburne University of Technology Sarawak Campus, Jalan Simpang Tiga, Kuching, Sarawak, Malaysia achai@swinburne.edu.my Keywords: Burners, computational simulation, drying temperature, mathematical modeling.
Computational fluid-dynamics (CFD) method was also applied to obtain visualization on mass and heat transfer and identification of energy inefficiency, such as through the use of temperature plots [6, 7].
Eq. (2) is later incorporated within the CFD solver for specific boundary conditions setup.
Computational Fluid Dynamics Simulation Simulation Setup and Settings.
CFD simulation of the enhanced drying using modified burner temperature distribution model was performed using a commercial computational fluid-dynamics (CFD) solver, Star-CD.

The comparisons showed a very good agreement between experimental and simulation results.
Over the last few years, there has been an increasing usage of computational fluid dynamics (CFD) to complement industrial design of fluidized applications[2].
Computational fluid dynamics (CFD) simulation results from a commercial CFD software package, Fluent, were compared to those obtained by experiments conducted in a fluidized bed containing spherical glass beads of 250–300 μm in diameter.
This result shows good agreement between experimental and simulation results.
It was possible to foresee by CFD simulation the minimum spouting flow rate and pressure drop with small deviations in relation to the experimental data.

Numerical simulation Physical model and the boundary conditions.
CFD simulated results and discussions.
References [1] Woodburn PJ, Britter RE.CFD simulations of a tunnel fire-Part I.
[2] Woodburn PJ, Britter RE.CFD simulations of a tunnel fire-Part II.
CFD Simulation on Tunnel Fire Smoke Control in Beijing Metro the 4th Line.

Taking the city Wu Han as a case, this paper introduces how to apply the CFD simulation of the digital model of metropolis to thermal environment study.
Fig.1 shows the CFD digital model of Wuhan.
Different parameters are made on the CFD model according to the grades.
In this method, the CFD digital model is set up for the simulation, which can be used to study the ventilation condition and thermal environment under atmospheric environment impacts.
As what has been indicated above, the thermal environment, tropical island effect and wet land under climatic environment influence have been analyzed by the CFD simulation.

Three CFD-simulations were carried out, each of which had a different interfacial tension: 0.5, 0.75 and 1.0 N/m.
Other physical properties (i.e. density, viscosity) were not changed between the simulations.
Description of the CFD model Simulations were carried out as three phase modelling.
In order to model turbulence the large eddy simulation (LES) was employed.
Simulations were performed using commercial ANSYS FLUENT 13.0/14.0 CFD-code.

The actual Tj was measured by an IR camera and compared with the simulation results from a computational fluid dynamics (CFD) software.
Figure 6 compares the Tj of the center chip (#5) obtained with an IR camera and CFD simulation software under a constant current of 350mA (9.92W).
The Tj for the center chip (#5) in the packaged structure, as determined with an IR camera and CFD simulation software under a constant current of 350mA (9.92W).
CFD simulation results for five high-power LED components with different packaging structures and heat slugs with varying thermal conductivity (50-450 W/mK).
CFD simulation results for the Tj of four differently sized chips in high-power LED components with different packaging structures.