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The flow characterizations through periodical variable cross-section passage are performed by numerical simulations in the one wavelength passage with periodic inlet and outlet boundary conditions.
Guzmán and Amon [9,10] performed numerical simulations in converging-diverging wavy channels.
A commercial CFD software Fluent is used to obtain the numerical solutions.
To raise the accuracy of simulations, the grid independence is carried out.
Conclusion Flow patterns in a single-period channel with fully developed periodical flow in transient regime have been investigated through accurate numerical simulation.

Method Virtual prototyping involves integrated use of computer aided design (CAD), Finite element analysis (FEA)/Computational Fluid Dynamics (CFD) and multi body system (MBS).
It enables simulation of the production systems to the finest details.
The complexities of the simulation process came out of simulation definition which outlines in value of the production process.
Globally recognized definitions of simulation are outlined below.
The simulation model in the Virtual Factory Environment (VFE) includes static and dynamic simulation functions.

The analysis method has solved the problem of multi-coupling analysis numerical simulation.
The analysis of Computational Fluid Dynamics-CFD Software principle and application, Tsinghua University Press, (2004), in press
Fluid analysis and Simulation of ANSYS CFX, Electronic Industry Press,(2012), in press

Besides, many researchers analyzed the transient characteristics of liquid slosh numerically with CFD software.
The simulation and analysis method in this paper would be used in stability control of tank vehicles in the future.
To get suitable simulation speed and relatively higher simulation accuracy, the liquid equivalent dynamic slosh model is combined of both the steady-state model and the pendulum damping model.
The vehicle configurations used in the simulation are shown in Table 1.
Simulation of liquid slosh in braking process of tank truck[J].

In addition, the paper designs the Coanda Effect control switch experiment, which verifies the feasibility of the Coanda Effectcontrol switch action and ensures the generation and implementation of the water hammer effect. 2Two-dimensional model of Coanda Effect control switch 2.1Two-dimensional modeling The establishment of a suitable model isthe key that the simulation result is correct based on fluent simulation.
Coanda trigger control link two-dimensional model 2.2 The 2D mesh based on CFD The 2D Coanda model is established with CFD.
Through the fluent simulation, the separation point of the hydraulic cylinder two branches should take in the distance from the initial separation point 4.5mm~6mm.
Numerical simulation of Coanda Effect in Circulation Control Airfoil[J].

During the search process, a computational fluid dynamics (CFD) based analytical model and microscopic traffic simulation VISSIM were applied to evaluate the performance of possible solutions.
Different simulation scenarios with varying AADT from 60,000 to 12,000 were tested.
Then, the microscopic traffic simulation VISSIM was implemented to validate the performance of the found solutions.
The simulation results showed very promising performance improvement, for example, 5% travel time reduction, 9% reduction in the percentage of vehicle with high collision risk and 11% emission reduction.
Compared with the other recent studies, the focus of this paper is on a real freeway stretch, other than simulation scenarios only.

Geometric Model and Simulation Conditions This paper’s geometric model is two-dimensional axisymmetric staggered tooth shape labyrinth seal.
The Labyrinth seal geometry model is shown in Fig.1, the geometry sizes and simulation conditions is shown in Table 1.
Balance the iterative calculation time and accuracy of results, all the simulations below will use 0.025mm as the element size.
Analysis of Flow Field Characteristics Simulations of internal flow and leakage characteristics had been performed by FLUENT software.
Based on the CFD labyrinth seal flow field numerical simulation[D].

In this paper, the detailed numerical simulations were performed in the hydrogen fuel combustion chamber with some different structure cavities.
In order to better study the working mechanism of enhanced gas mixing and flame stability, this paper uses three kinds of typical cavity structure, the detailed three-dimensional numerical simulations were performed in Hydrogen fuel supersonic combustion.
The CFD code “Fluent” is used in the numerically analysis, it is a finite volume code for solving the Reynolds-averaged Navier-Stokes equations.
Gaitonde: Numerical Investigation of a 3-D Chemically Reacting Scramjet Engine at High Altitudes Using JP8 - Air Mixtures, AIAA2005-1435 [7] Yang Shi-min, Tang Hao, Huang Yue: Numerical Simulation of Combustion Flow Field of Supersonic Combustor with Cavity, Journal of Aeroengine, Sep. 2008.

Numerical Simulation of Flow Field of Metro Train Head Bin Yang1, a, Qinghong Sun2,b 1 College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu, 210037, China 2 Department of Mechanical Engineering, Southeast University, Nanjing, Jiangsu, 210096, China a yangb123@126.com, bsunqinghong@seu.edu.cn Keywords: Metro train, Numerical simulation, Flow field, Aerodynamic, Pneumatic idiosyncrasies, Pressure distribution Abstract.
In some countries such as Japan, French and Germany, wind tunnel model simulation trial and flow field numerical simulation calculation are taken into account during the development of high-speed metro train, at the same time, aerodynamic issues about steady state and unsteady state domino offects are also studied [1-3].
To eliminate influence on ground boundary layer during the period of wind tunnel trial and computer simulation, the paper introduces shifting floor (exert ground boundary a velocity, its value and direction are the same as entrance flow velocity) to eliminate the impact of ground [6-8]。
We must take train flow field CFD characteristics into account, train surface finite volume value is 0.075 m, bounding surface finite volume value is 0.5 m, entire body finite volume value is 1 m, there are three bounding layer gridding numbers and the thickness is 0.45 m, thereinto 0.45 means that the boundary layer height is 0.45 times as great as cliff surface gridding original size.
Fig.13 Train induced wind vertical component distritution along side plumb area in the direction of the metro train length Result Analysis Table 1 shows numerical simulation results of aerodynamic drag coefficient of different metro head schemes.

The algebraic equations are discretized by the finite volume method implemented by Fluent CFD software [1].
Computational domain The Gambit/Fluent simulation package was used to develop our numerical modeling.