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Hu has studied the temperature distribution of battery pack using CFD (computational fluid dynamics), and recommended a new cooling strategy for battery pack[11].
In this study, the steady simulations were carried out using a commercial CFD code – FLUENT.
The standard k-ε turbulence model was used for the simulation of convection, and 3 dimensional heat conduction was included.

We also used CFD (computational fluid dynamics) simulation to verify the flow conditions for the new geometry.
We then used CFD simulation (Ansys CFX) to verify the flow conditions.

Research on Mathematical Model of Liquid-Continuous Impinging Streams Fubao Lia, Wei Shab and Qin Lic Shenyang University of Technology, Liaoyang, 111003, China aprf_fubaoli@126.com, bshawei0713@126.com, cprf_qinli@126.com Keywords: Liquid-continuous, Impinging streams, Mathematical model, Numerical simulation.
It, primarily, established the mathematical model of Liquid-continuous impinging streams through analyzing the physical characteristics of flow field of Liquid-continuous impinging streams.Then it obtained the locus function, velocity function and pressure function of Liquid-continuous impinging streams though solving equation of the model.Finally it made a numerical simulation about Liquid-continuous impinging streams by using CFD software.The result of numerical simulation and the analysis about flow characteristic suggests that the mathematical model established by this paper is appropriate for describing the flow field of Liquid-continuous impinging streams.
Simulation of Flow Field of Liquid-continuous Impinging Streams In this paper, the flow field of LIS is simulated.
Environment of flow field is: the interval of nozzle is 0.2m, namely B=0.1m; the diameter of nozzle is 5mm; the inlet-boundary is velocity-inlet and the numerical value is uf=2m/s; the outlet-boundary is outflow; numerical algorithms choice Pressure-Based; viscous model choice standard k-ω; solution method choice second order SIMPLEC. the medium of simulation is water.
(3) The result of simulation of the flow field specified parameter is coincide with the result obtained by mathematical model, then it indicate that the mathematical model established in this paper is fit exactly for describing the flow field of Liquid-continuous impinging streams.

In this paper, we get the features of wind field of special topography by studying a two-dimensional model of a typical hillside, and using CFD numerical simulation.
Considering the full development of the turbulence and the impact of the size of the wind field simulation, we use 20 × 10Djet computational domain, the initial injection inlet position is defined as the distance to the ground H / D = 4, the computational domain of geometric proportions with Hangan [6] The computational domain is consistent .
[2] Proctor Fred H.Numerical Simulations of an Isolated Microburst.Part I:Dynamics and Structure[J].Journal of the Atmospheric Sciences.1988,45(21):3137-3160
[5] Jongdae Kim,Horia Hangan.Numerical simulations of impinging jets with application to downdrafts[J].Journal of Wind Engineering and Industrial Aerodynamics,2007,95(4):279- 298
[6] Mason M.Physical simulation of thunderstorm downbursts[D].Masters thesis,Lubbock(TX, USA):Texas Tech University,2003.

Numerical Simulation of a Low Reynolds Number Airfoil Yufu Wang1,a, Guoquan Tao1,b, Zehai Wang1,c and Zhe Wu1,d 1 School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China a 373216370@qq.com, b justin-psp@163.com, cwzh881230@163.com, d wuzhe@buaa.edu.cn Keywords: Low Reynolds number, Airfoil, Aerodynamic characteristics, Numerical simulation.
In this paper, the complex flow around a low Reynolds number was simulated by CFD.
Numerical Simulation Method Governing equation.
Table 1 Lift and drag coefficient at different angles of attack Angle of attack[°] Lift coefficient Drag coefficient 0 0.8290 0.0202 2 1.0387 0.0222 4 1.2347 0.0253 6 1.4102 0.0298 8 1.5554 0.0365 10 1.6548 0.0466 12 1.6784 0.0620 14 1.5806 0.0852 16 1.3261 0.1230 Fig. 3 Relationship between lift coefficient and drag coefficient and angle of attack Summary Aerodynamic characteristics of a low Reynolds number airfoil (S1223) are studied through numerical simulation, which has guiding significance for selecting high altitude propeller airfoil.

Moreover, a three-dimensional, quasi-steady CFD Fluent simulation is performed and validated against experimental results.
Kong and Niu [11] described a computational fluid dynamics (CFD)-based procedure to identify the optimal tilt angle of a small-scale rooftop solar chimney.
First, CFD simulations were performed on a two-dimensional solar chimney model with tilt angles varying from 30° to 90° relative to the horizontal plane under different heat fluxes.
A mathematical procedure using CFD data to estimate the ventilation performance of the solar chimney at different angles of inclination under real climatic conditions is described.
[14] Soto, Andrés, et al., Simulation and experimental study of residential building with north side wind tower assisted by solar chimneys, Journal of Building Engineering. 43 (2021) 102562

apingguotree4426@163.com Keywords: disk friction loss,leakage,shear stress on surface,CFD Abstract.
The internal flow fields of liquids in space between casing and rotating disk have been obtained by using CFD.The curves of shear stress on the disk and static pressure on casing wall against radius are also gained in various viscosity and different leakage conditions.The results indicate that the shear stress is influenced significantly by the leakage in the space.The shear stress on the disk decreases with the increase of leakage,especially in small radius.However, the reduction rate of stress gets smaller with the increasing of liquid viscosity.The greater the viscosity is, the higher the shear stress is.The growth of shear stress along the direction of radius is greater than in small viscosity.
M., 1987, “Impeller Shroud to Casing Leakage Flow Simulations in the Space Shuttle Main Engine High Pressure Fuel Pump,” Heat Transfer and Fluid Flow in Rotating Machinery, pp.411-423 [2] Baskharone, E.

Numerical Simulation of Flow and Heat Transfer for Cooling Roller in Amorphous Spinning Process Yong-Kang LI, Yang YANG*, Yan-Ming SONG, Fei-Ran ZHANG School of Mechanical Engineering and Automation, Beihang University, Beijing, China buaalyk@qq.com, sym0823@163.com *Corresponding author Keywords: Amorphous, Cooling Roller, Flow, Heat Transfer, Numerical Simulation.
Numerical simulation of cooling roller in planar flow melt spinning process was accomplished using CFD software, Get cooling water flow characteristics and the cooling roller wall temperature and pressure distribution with cooling roller rotation speed range 0-50r/s, The results show that: heat transfer coefficient h and Nusselt number between the cooling water and the inner wall surface of a copper roller creases with the increase of the cooling roller rotate speed, but the increase rate is relatively small; Effect of cooling roller rotate speed on inner wall pressure is large, cooling roller inner wall pressure increases with the rotation speed increase.
Simulation parameters are shown in Table 1.
[3] Song Y M, Yang Y, Numerical simulation of adsorption characteristics of magnetic take- up roll for amorphous ribbon [J].Journal ofBeijing University of Aeronautics and Astronautics, 2015, 41 (3): 472-478 (in Chinese)
Numerical Simulation of Initial Development of Fluid Flow and Heat Transfer in Planar Flow Casting Process [J].

We can find that the mesh adopted by CSD and by CFD is quite different.
Thus, if the effect of interpolation is not improved, the numerical simulation precision will be directly impacted.
Fig. 3 Surface mesh for aerodynamic computation and structural computation Fig. 4 Contours of the pressure on pressure and suction surface of a fan blade before and after interpolation Fig. 5 Contours of the deformation displacements of a fan blade before and after interpolation In present paper, the linear interpolation methods(LIM) and Constant-Volume Tetrahedron(CVT) approach are adopted to exchange information between CSD and CFD.
The present method also develops linear interpolation method and Constant-Volume Tetrahedron approach to exchange data between CFD and structural computation in a high-fidelity way.
Computer Simulation.

The authors used ANSYSTM program in simulation [3].
The authors used the second coupling method for simulation of dynamic characteristics of hydraulic mount.
Fig.6 shows finite element simulation of dynamic stiffness curve and Lag angle curve.
There is satisfactory coincidence degree between the simulation curve and the test values .
Dynamic Simulation of Engine-Mount Systems .