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This book covers these topics: Acoustics and Noise Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics, Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart Materials, Compressible Flows, Computational Mechanics, Computational Techniques, Dynamics and Vibration, Energy Engineering and Management, Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics and Machinery, Fracture, Fuels and Combustion, General mechanics, Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC, Instrumentation and Control, Internal Combustion Engines, Machinery and Machine Design, Manufacturing and Production Processes, Marine System Design, Material Engineering, Material Science and Processing, Mechanical Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano Technology, Multibody Dynamics, Nanomaterial Engineering, New and Renewable Energy, Noise
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, Oil and Gas Exploration, Operations Management, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.

Numerical Simulation Research of Velocity and Temperature Fields in High Temperature Flow of Liquid Lend-Bismuth Eutectic Yunbo Li, Tao Zhou, Qinjun Huo, Xu Yang Institute of nuclear thermal-hydraulic safety and standardization, North China Electric Power University, 102206, Beijing, China 676850083@qq.com Keywords: liquid lend-bismuth eutectic; numerical simulation; velocity field; temperature field; gas-injection Abstract.
Simulation results and their analysis The radial velocity at the different axial position without gas-injection This is the radial velocity at the different axial position of 0.1m, 0.2m, 0.5m and 1m without gas-injection.
(3)From the comparison with the experimental results, the tendency of the results of the simulation and of the experiment matched well.
So it can be thought of the numerical simulation can implement the process of heat transfer of the liquid lend-bismuth eutectic well.
[6] Narain Armbya.CFD Anlysis of 3-D Thermalhydraulius Flow Effects on Wall Concentration Gradient Profiles For LEB Loop FITTONGS[D].University of Nevada,Las Vegas, 2004, 07-08

Aiming at an outbound process of the airship driven by the hydraulic rod and cables, a simulation of the wind-induced displacement for the airframe is conducted.
Then, a finite element model of the airship structure is modeled and a simulation of the wind-induced displacements for the giant airship is conducted.
Simulation of Fluid Dynamics under Wind Load Overview of Whole Structure.
In the analysis of fluid dynamics, a spatial three-dimensional flow field including the airship and boathouse is simulated with CFD-Fastran by coupling compressible Euler’s equations based on the density.
(2) Simulation of Wind-induced Displacements of the Airship Simulation of the wind-induced displacements of the airship belongs to geometrically nonlinear problems, so the nonlinear finite element method is used.

LHS(Latin Hypercube Sampling) and numerical simulation of inviscid muzzle flow field were applied to obtain some samples of the muzzle brake performance.
One of the most effective way to get the muzzle efficiency value is numerical simulation of muzzle flow, which can give the impact force on the muzzle brake[1].
LHS(Latin Hypercube Sampling) is an excellent sampling method, which was bring forward by McKay for simulation experiment in 1979.
The chosen objective parameter is the impact force put on the muzzle brake by powder gas which can be obtained with numerical simulation of muzzle flow.
CFD program will be run to compute every experimental point aerodynamic parameters and then construct the RSM.

For the purpose of utilizing of wind energy around urban buildings, an technique to gather natural wind energy by artificial energy-gathering tunnel is investigated using numerical simulation method.
An optimized configuration of the tunnel is obtained by numerical simulation and analysis, in which the accelerating ratio is about 2.02 and the wind power density increases about 7.24 times.
Based on the above considerations, four cases (see table 1) are analyzed one by one using numerical simulation method.
The air density is set as in all the simulations in this paper.
Computational fluid dynamics-CFD software principles and applications.

Fu School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China zhangfh@hit.edu.cn, robertwsf@sina.com, qiangzi0814@163.com, pqfuln@hit.edu.cn Keywords: aerostatic, radial-thrust bearing, loading capacity, stiffness, CFD, finite volume method Abstract The working performance of the spindle system is the most important factor to embody the overall performance of the machine tool.
Simulation results show that this special structure of bearing module can supply enough load capacity and stiffness for the machine tool.
a) Influence of orifice diameter on the loading capacity b) Influence of orifice diameter on the static stiffness c) Influence of orifice diameter on the mass flow of the bearing Fig. 3 Axial loading capacity, stiffness and mass flow rate of the gas bearing with offset values under different orifice diameters a) Influence of the number of orifices on the loading capacity b) Influence of the number of orifices on the static stiffness c) Influence of the number of orifices on the mass flow of the bearing Fig. 4 Axial loading capacity, stiffness and mass flow rate of the gas bearing with offset values under different orifices number Axial stiffness experiment To prove the accuracy of the numerical simulation results, the axial stiffness of the bearing measurement experiment is carried as shown in Fig. 5.
The simulation result is 3507.78 N/μm using the fluent software.
From the numerical simulation results and associated discussion above, the following conclusions can be drawn: a) Compared with thickness direction of the film, the other two directions are too large that meshed grid distortion is often emerged.

Numerical simulation model Coverning equations.
Grid generation The result and analysis of numerical simulation Pressure analysis.
Three-dimensional numerical simulation was proceed on the cleaning effect under the condition that the 10 kW horizontal axis wind turbine stop working.
[2] Yuhong Li, Qinglinong Zhang Numerical Simulation of Flow Fleld and Aerodynamic Performance of a Wind TurbineBlade.
Koliub．Effect of Dust on the Performance of Wind Turbines．Desalination．2007，209：209~220 [4] David Hartwanger，Dr Andrej Horvat．3D Modelling of a Wind Turbine Using CFD．Engineering Simulation: Effective Use and Best Practice，2008，26（8）：42~46 [5] Jinliang Xu，Chuangxin Zhao．Two-dimensional Numerical Simulation of Shock Waves in Micro Convergent-divergent Nozzles．International Journal of Heat and Mass Transfer，2007，50：2434~2438, In Chinese.

Research of Flow Simulation With High-pressure and Bottom-blowing Nitrogen Shuhuan Wanga, Hejun Zhangb and Dingguo Zhao c College of Metallurgy and Energy, Hebei United University, Tangshan, Hebei, 063009, China awshh88@heuu.edu.cn, bzhanghejun99@163.com, cgyyzhao@163.com Keywords: High Pressure, Bottom-blowing, Numerical Simulation, Molten Steel Flow Field.
Because of the continuous development of the computer and numerical calculation technology, numerical simulation—which is called the “numerical experiment” or computational fluid mechanics method developed rapidly [3-6].
Many validated mathematical models and CFD softwares can describe detailed and realistically the process and phenomenon in the metallurgy reactor, and also can give quantificationally actual operation parameters and make evaluation, and can provide basis for reactor design and production control [7].
The Simulation Results and Analysis The Influence of Pressure on the Flow Field of Molten Steel.

From the numerical simulation results, the influence of elevation angle of the solar cells on the wind load was presented.
The CFD software FLUENT was used to analyze the influence of windward shape on the air velocity field [4].
Numerical simulation of air flow field around the solar cells was carried out with the numerical wind tunnel method, and the structure optimization was proposed based on the simulation results in this paper.
So, it’s necessary to analyze the wind load with numerical simulation based on the finite element method.
(2) From the simulation results, the wind load of solar cells assembled with gap was lower than that of without gap, and it was decreased about 33%.

ZhengZhou municipal office for the construction and management of rail transit, China, 450017) azhongwei@zzu.edu.cn, byjpkl@mail.ustc.edu.cn Key Words: Urban tunnel ; Fire; Natural ventilation; Shaft height Abstract: The characteristics of smoke flow in natural ventilation shaft are studied in this paper, Using the computational fluid dynamics software FDS5.0 to build a 3D model of an urban tunnel with a smoking shaft, Large Eddy Simulation model was used to obtain the structure of flow field and the mass flow rate of natural ventilation at different shaft height, The results show that when the shaft height is low, the driving force of exhaust is weak and the exhaust capacity reduces rapidly, the flow state in shaft is controlled by horizontal inertia force; when the shaft height increase to a critical height, the exhaust effect enhance significantly, the flow state in shaft will change to stack effect control.
The flow field of fire smoke with the function of smoking shaft is analyzed in this paper, the effect of natural ventilation with the change of shaft height is studied by Large Eddy Simulation model.
Numerical simulation method and Fire scenario design This paper selects the numerical simulation tool FDS5.0 (Fire Dynamics Simulator) developed by NIST, which is a Computational Fluid Dynamics (CFD) simulation model of fire-driven flow[4].
Stack effect control horizontal inertia force control Fig.4 The mass flow rate of ventilation Conclusion This paper simulated an urban tunnel with a smoking shaft by Large Eddy Simulation model. obtaining the flow field, temperature distribution in shaft and the mass flow rate of ventilation at different shaft height.