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Simulation model of simple story office building was modeled in DesignBuilder simulation software platform, which it uses the EnergyPlus dynamic simulation engine to calculate outputs data.
Simulation program allows entering from 1 to 16 numbers of points on the curve.
Discharge coefficient of ventilation was set up at 0.5 during simulation process.
Hochenauer, Analysis of ventilation effects and the thermal behaviour of multifunctional façade elements with 3D CFD models, Energ.
Strachan, The simulation of photovoltaic-integrated façades, In: Proceedings of the International Building Performance Simulation Association Conference 1997, vol. 2, IBPSA, Prague, 1997, pp. 189-195

Numerical simulation study on influence of wind barriers on the wind environment around bridge deck.
At present, the approach to obtain the aerodynamic coefficients mainly includes numerical simulation [[3] J.
The simulation of unsteady aerodynamic cross wind forces on trains.
In this paper, the effects of wind barriers on aerodynamic performance of train running on the bridge are numerically simulated based on the general Computational Fluid Dynamics (CFD) software FLUENT.
Computers & Fluids, 2000,29, 179-195. ], therefore three trains model including head train, middle train and rear train is used in the numerical simulation.

The simulation results show that, this model can well reflect the dynamic and static characteristics of a battery, and the Calman algorithm can keep good accuracy in the estimation process.
Finally, the Matlab simulation results verify the feasibility of this method.
Form the current results of the research, it’s very difficult to describe a battery’ whole performance accurately only using a battery model, so there are various methods to establish the battery model to describe the different types of battery, such as the equivalent circuit model, the electrochemical model, the finite element model, CFD model etc..
Simulation and Verification.
Conclusion From the simulation results we can see, that the EKF algorithm can keep good accuracy in the battery SOC estimation process, have strong corrective action to the initial error of the SOC, and also have certain inhibition effect on the system noise and measurement noise.

Study on Surface Pressure Distribution Test of Stayed- Cable Using Aerodynamic Measure Gong Sai1,a, Tang Peng1,b, Wang Chengkun2,c 1Nanyang Institute of Technology Nanyang, 473004 China 1Highway school, Chang’an University Xi’an, 710064 China a381543326@qq.com, b78663624@qq.com, c278413106@qq.com Key words: Cable-stayed; rain-wind-induced vibration; aerodynamic measure; wind pressure coefficient; aerodynamic coefficient; CFD numerical simulation Abstract: Stayed-cable was being considered as an important component of cable-stayed bridge, with characteristics of its low quality, stiffness and damping, among which rain-wind-induced vibration brings the most serious damage in its high amplitude because of its easy conditions to meet.
Fig. 3 Cable model with spiral line and waterline Fig. 4 Model installation diagram （5）The experimental analysis on the effect of the end plate simulation Under different wind speed, the distribution coefficient of average wind pressure in different sections that distance from the free end of cable-stayed have the same regular pattern, the paper lists only test data processing under 30 ° wind angle, shown in Fig. 5.

The chemical reaction simulation used the assumption of a plug flow reactor.
Mechanical Simulation.
Chemical Simulation.
Simulation of Catalytic Converter Performance.
Hence CFD analysis is used to design efficient catalytic converters.

Numerical modeling and simulation of metal solidification is a powerful tool in predicting cast products macro-microscopic information before carrying out the actual casting.
The GCI method is based on Richardson extrapolation (RE) method and is an acceptable and a recommended method that has been evaluated over several hundred CFD cases [15].
The simulation includes liquid, solid as well as the mushy zone, hence, smooth transition among each zone is ensured. 2.
Reviews 47 (2002) 243-261 [6] L, Nastac, CFD modeling of macro-segregation and shrinkage during solidification of superalloy castings, ISIJ international 50 (12) (2010) 1829-1834
E, Procedure for Estimation and Reporting of Uncertainty Due to Discretization in CFD Applications, J.

Numerical model and grid distribution The 3D model was built by CATIA.The grid was generated using ANSYS/ICEM CFD.The solution was calculated by ANSYS/FLUENT 12.0.
All grid has been smoothed before numerical simulation.
The ralative errors between the results for simulation and the results calculated from the Gnielinski and Filonenko equations were both below 10%.
So, the grid is fine enough for simulation between Reynolds number from 1.2×104 and 5×104.
The grid arrangement with 386241 elements was used for the simulation with Reynolds numbers between 1.2×104 and 5×104. 2.3.

By this way we can obtain more precise results of numerical simulation.
Xiao-Feng Shang. in: Numerical simulation of temperature field on lasermetal deposition shaping [J].LASER TECHNOLOGY,(2007) (in Chinese)
Journal of materials science.(2003) [17] IBARRA-MEDINA J, PINKERTON A. in: A CFD model of the laser, coaxial powder stream and substrate interaction in laser cladding [J].
Physics Procedia, (2010) [18] QI H, MAZUMDER J, KI H. in: Numerical simulation of heat transfer and fluid flow in coaxial laser cladding process for direct metal deposition [J].
Optics and Lasers in Engineering, (2004) [20] Risheng, Long Weijun Liu, Fei Xing, Huabing Wang. in: Numerical simulation of thermal behaviour during laser metal deposition shaping.

The major findings presented in this paper include (1) simulation of steady state temperature distribution on tool insert; (2) simulation of cooling efficiency of coolant jet impingement in internally cooled cutting tool; (3) presentation of statistical result of the effects of space between channel and internal wall of the insert, channel diameter and fluid temperature on the heat transfer rate.
The boundary conditions for CFD and heat transfer analysis will not be discussed in this paper and will be published separately.
(b) (a) Fig. 5: Simulation result of (a) temperature distribution for combination number 1 when x1=0.3mm, x2=0.8mm and x3=292K and (b) temperature distribution of dry- machining cutting tool The simulation results show that the lowest temperature achieved is 388.102K when the level of the space is highest; the channel diameter is at the highest; meanwhile the cooling fluid temperature is at the lowest.
The simulation result for cutting temperature from experimental design is analysed statistically resulting in 6-term regression model (Eq.2).
The simulation results denote that internally cooled cutting tool can reduce cutting temperature to more than 50°C compared to dry- machining.

The computer simulation of the mixing behavior was performed with a commercial package, named Ansys CFD.
Physical properties of the fluids Fluid Dye Color Density(Kg/m3) Viscosity(N．s/m2) Diffusion(Kg/m) Water Red 997 1.002x10-3 2x10-6 Acetone Blue 780 0.324x10-3 2.06x10-5 The simulation results show that the best mixing was obtained in mixer A, so the simulation and experimental results for the mixing status in mixer A were compared.
Fig. 5(a) and 5(b) show full-field mixing images obtained from the numerical simulations and experiments, respectively.
As can be seen, the overall mixing efficiency from the numerical simulation tends to agree with the experimental measurements.
Mixer A Re = 1 Re = 10 Mixer A Re = 1 Re = 10 (a) Images from numerical simulations sec.1 sec.2 sec.3 outlet sec.1 sec.2 sec.3 outlet (b) Images from experiments sec.1 sec.2 sec.3 outlet sec.1 sec.2 sec.3 outlet Fig. 5 Full-field mixing images for (a) numerical simulations and (b) experiments.