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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%.

The simulating calculation using Computer Fluid Dynamics (CFD) software and experimental test were conducted.
(2) Among them, ΔPw is wind pressure, Pa; K is aerodynamic coefficient, derived from wind-tunnel experiment or numerical simulation; ρ0 is outdoor air density, kg/m3; and vw is wind speed of uninterrupted incident flow, m/s.
Simulate the influence of indoor thermal environment by CFD software To conduct the research of the influence of ventilation methods on the indoor thermal environment and further perform the check analysis of calculation conclusions, the author uses Fluent software to further stimulate the calculation and verification of CFD value. 3.1.
Conclusion This thesis performs ventilation calculation, CFD simulation and analytical study of the use of unpowered fresh air exchange components in residential houses with southern orientation and good exposure in winter and spring in Beijing.

Huang et al. [5] established plasma torch model and calculated the value and distribution of torch heat flux, and be verified through block and slab melting simulations.
In the simulation, Ti45Al8Nb alloy is selected.
In the simulation, the commercial finite element software ProCAST is selected, and the enthalpy method is adopted to solve for heat transfer.
In our simulation, different heat flux densities are selected as shown in Fig. 4.
Crist: Multiphase Phenomena and CFD Modeling and Simulation in Materials Processes(2004), p. 301-315

Partitioned simulation of the interaction between an elastic structure and free surface flow.
Mixed method of node load interpolation in collaborative simulation of coupled problem.
Computer Simulation, 2006, 23(8): 73-75.
Unified approach to CFD-CSD interpolation and mesh motion using radial basis functions.
Study of date exchange metod for coupling computational CFD/CSD.

It uses the computational fluid dynamics (CFD) solver to compute[4].
Design of Optimization and Simulation.
Analyze Simulation Results after Optimization.Completing the thermal simulation under the new designed system by Icepak, the simulated results as show in Table 3, the plane flow chart of system cooling as show in Fig. 6.
Running the simulation again at the environmental temperature of 35℃, these components’ temperature meet the spec.
Heat sink numerical simulation with Icepak using compact heat sink modeling techniques.

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.

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.

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.

Transmission loss and characteristics of internal sound field of the composite muffler are calculated through sound and vibration simulation.
CFD Analysisof the Acoustic and Mean Flow Performance of Simple Expansion Chamber Mufflers [C]. 2004 ASME International Mechanical Engineering Congress and Exposition,2004 :151-156
[3] R Barmieri, N Barmieri, Finite Element Acoustic Simulation Based Shape Optimization of a Muffler [J].
Simulation Study on Noise Reduction Characteristics of Complex Structures of Muffler [J].
Simulation Study on Acoustics and Resistance Characteristics of Numerical of Muffler [J].

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.