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Discusses how to making up air to balance indoor air, eliminate the traditional system defects, through in the hearth additional secondary air tuyere through using the CFD----fluent6.2 simulation software simulates the airflow organization of the kitchen exhaust system if making up air.
I choose different simulation model of secondary air tuyere area to simulate, respectively s = 0.05 m2, 0.06 m2, 0.10 m2, 0.14 m2.
Numerical simulation Simulation assumptions.
Numerical simulation.
Using The finite element method numerical simulation and SIMPLE algorithm for solving the discrete equations.

For further analysis this mesh can either be used for Computational Fluid Dynamics (CFD) simulations using the code Eilmer [8] or converted to the foam format using e3prepToFoam [9] for simulation with OpenFOAM or other solvers.
Being directly coupled to mesh generation this tool is also an excellent basis for large scale optimization, as it allows parameterized geometries to be meshed automatically, ready for high fidelity CFD simulations.

Computational fluid dynamics (CFD) has proved to be a useful tool for the reveal of fluid micro-motion and turbulent transportations.
The dynamic simulation of sludge settling processes with the speed of 105r/min can be described in Fig. 7.
With the increase of blade speed, the simulation results show that removal efficiency of the first-stage rotational flow grit chamber decreases gradually, which is consistent with experimental results to verify the reliability of simulation results.
Then the 3-D numerical simulation of the two-phase flow field and suspended solid concentration was studied.
Comparison between simulation data and experimental data showed a satisfactory agreement.

Then a computational fluid dynamics (CFD) method is used to analyze the aerodynamic performance of this integrated configuration.
It is obvious that a well approximation between our simulation and ref.[6].
Fig.2 Cabin and cargo position of the BWB Fig.3 CFD mesh of the integrated configuration Fig.4 Lift coefficeint compared with ref.[6] Fig.5 Drag polar of each BWB mesh size Results and disscussion In this paper, aerodynamic performance of the integrated configuration in cruising and taking off are simulated and analyzed.
A structured grid code was used to generate the 3-D CFD mesh based on the integrated configuration geometry.

Simulation result and theory analysis showed the models established in the paper performed better than the random walk model.
Due to the obvious advantages both in numerical simulations and theoretical studies, the bulk of the research effort has been directed at spherical particles.
So the random walk model is not appropriate to simulation the aerosol dispersion, which causes the simulation value of mass concentration larger than measurement and setting velocity smaller than measurement.
The non-spherical particle dispersion model which considers the gravity and particle shape can simulation the dispersion process of aerosol better, which was validated through experimental measurement and numerical simulation in another paper [6].
Mathematical Model and Numerical Simulation of Particles Dispersion with Gravity.

Wind Energy Utilization of High-Rise Buildings Roof Numerical Analysis Yanhong Chen1,a, Xingqian Peng1,b, Rong Yang1,c 1College of Civil Engineering, Huaqiao University, Quanzhou, 362021, China ayanhongchen20@126.com, bpxq@hqu.edu.cn, c635701295@qq.com Keywords: high-rise building; wind energy; tower; wind speed ratio; numerical simulation Abstract: In order to improve the utilization of wind energy, set the tower on the roof, the roof tower on the use of CFD technology in different dimensions and different wind direction of the wind environment under the numerical analysis, simulate the velocity field around tower building, and comparative analysis, find out the reasonable fan placed to achieve the purpose to make full use of wind energy.
Fig.1 Schematic geometric model size Fig. 2 Wind direction signal Computational Model With IECM CFD 10.0 model to ANSYS CFX 10.0 software computing platforms.
Low door frame plant in the computational domain numerical simulation of wind tunnel setup [J].

Numerical Analysis of Concave-slab Type Water Lubricated Rubber Alloy Bearings’ Lubrication Jiaxu Wanga, Yanfeng Hanb, Guangwu Zhouc, Xiao Ked, Yi Qine and Song Wuf The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China ajxwang@cqu.edu.cn bfyh-0220@163.com czhouguangwu2004@163.com dxiaoke963@yahoo.com.cn eqinyi@cqu.edu.cn f16627326@qq.com Keywords: curve fitting, Concave-slab type water lubricated rubber alloy bearing, fluid-structure interactions, numerical simulation.
By using ADINA’s fluid-structure interactions solver, 2-D numerical simulation for the lubrication performance of Concave-slab type water lubricated rubber alloy bearing was carried out under low rotating speed conditions.
Then the pressure distribution, line load of the water lubricating film and the elastic deformation of slat-rubber lining were all obtained through the simulation.
The CFD results indicate that the maximum pressure zone in the bearing is close to the minimum clearance.

The effects of pressure and humidity variations on pressure drop of the draw resistance standard rod Qian Miao 1, Jing Cheng 2, Hang Zhao1,a, Rong-Chao Yang 1 and Zhong-Di Su2 1 Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, China 2 Department of mechanics, China Jiliang University, Hangzhou, China a ken0321@sina.com Keywords: Draw resistance standard rod, pressure and humidity variations, velocity distribution, numerical simulation, pressure drop Abstract.
Two factors have been selected to investigate the effects of environmental condition variations on pressure drop of draw resistance standard rods and a series of numerical simulations have been carried out.
Fig. 3 The sectional drawing of the rod Numerical Simulation and Results Analysis A common CFD software Fluent has been adopted to simulate the gas flow phenomena.
The present numerical results reveal that our simulation method is effective in calculating the pressure drop of the draw resistance standard rod.

Numerical and Experimental Researches of 1:10 Tank Car Longitudinal Vibration with Fluid Sloshing Zhisheng Liu1, a, Jimin Zhang1, b, Yongqiang Wang1, a 1Institute of Railway and Urban Mass Transit, Tongji University, Shanghai, China, 201804 alzsfrank3@gmail.com, bzjm397a@163.com Keywords: fluid-structure coupling; tank car dynamics; numerical simulation; model experiment; CFD Abstract.
Since the flow field is wholly described by the fluid control equations, the result calculated can be more realistic than the traditional modal simulation, and the tanker dynamics simulation obtained by this method will be more accurate. 1.
Establishment of the fluid-tank simulation model 1.1 Simulation process In the numerical simulation, the program of three-dimensional model is very complex, and the study of such problem is usually simplified to two-dimensional model despite the loss of accuracy, but the basic law of the liquid sloshing can be obtained.
Coupled simulation process is as follows: (1) Set initial conditions.
The human body vibration simulation research during railway vehicle running[J].

Many researchers have been involved with the CFD approach of oil flows inside pipes as Dunia [2] where interesting pressure and temperature profiles are extracted or as in other works [3-5] where they present mathematical models (as MPTT) in order to predict the crude oil rheological behavior.
Conclusions In the present paper the numerical study, simulation and estimation of crude oil flow inside T-junction channels took place.
[10] Araujo M., Neto S., Lima A., Luna F., Hydrodynamic study of oil leakage in pipeline vis CFD, Advances in Mechanical Engineering , ID 170178
[15] Benes L., Louda P., Kozel K., Keslerova R., Stigler J., Numerical simulations of flow through channels with T-junction, Applied Math. and Computation, 219 (2013) 7225-7235
[19] Phan H., Wen L., Zhang H., Numerical simulation and analysis of gas liquid flow in a T-junction micro channel, Advances in Mechanical Engineering, (2012), ID 231675