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Numerical Simulation Research about Group High-Rise Buildings around Wind Environment Ling Huang1, a, Xiabing Liu2, b 1College of Civil Engineering and Architecture, Nanchang Hangkong University, Nanchang 330063, China anchyhl2@126.com b627665303@qq.com Keywords: Groups of high-rise buildings, Interference effects, CFD numerical simulation；wind pressure Abstract：Using the common classical turbulence model, k-ε turbulence model which has fairly common usability，CFD simulations for group high-rise building and wind-induced static interference between tall buildings, are conducted.
Based on the comparison between the CFD and relative wind tunnel test ,it shows that: the method of numerical simulation have better accuracy, could be used for group high-rise buildings study of static interference.
Fig.2 Sensor Arrangement and The Direction of The Wind Schemes Fig.1 Buildings Layout Numerical simulation Applied the basic principles and methods of Computational Fluid Dynamics (CFD) , the wind load on the surface of main building is simulated.
In the numerical simulation, the calculation model according to the actual scale is built, omitting the simulation which has little effect on the part of local architecture.
According to simulation results.

Computational Fluid Dynamics (CFD) is widely applied in solving fluid flow and heat transfer.
With the continuous improvements of the CFD computational technologies, the applications of CFD have also been broadened.
Compared with the practical experiment, CFD simulation can change specific simulation conditions with less cost and time.
[6] Xie J，Qu X H, Shi J Y, et al．Effect of design parameters on flow and temperature fields of a cold store by CFD simulation[J]．Journal of Food Engineering，2006, 77 (2)：355~363
CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes[J].

A Study on the Flow Field Simulation of Insertion Flow Sensor in Large Diameter Pipeline CHEN Jian-zhen1, a*, LI Bin2,b, WANG Hui1, LIAN Xiao-man1, XU Yu-ming1 1 Department of Computer Science, Hengyang Normal University, Hengyang 421002, China 2 School of Mechanical & Electronic Engineering and Automation, Shanghai University, Shanghai 200072, China aScut_cjz@163.com, b sulibin@online.sh.cn Keywords: Insertion Flowmeter, Flow field distribution, CFD Abstract.The study is to employ the analysis method of CFD simulation, when putting the insertion flow sensor in large-diameter pipe, to analyse the characteristics of flow field distribution of the insertion flow sensor in detail.
At present, the small multi-core parallel cluster system provides better conditions for the application of CFD simulation, and can well meet the needs of the flow sensor simulation and analysis of flow field in general [7].
Therefore, in this paper we will study the detailed characteristics of flow field distribution of insertion flowrate sensor through the analysis of CFD simulation, in order to better design insertion flow sensor with high performance. 1 Simulation experiment 1.1 Geometry model Insertion electromagnetic flowmeter is particularly suitable for large diameter pipeline measurement.
This paper describes vortex problems, effecting measurement, about insertion flow sensor in the CFD simulation, which are possible interference factors of measurement using general insertion flowmeter.
The Multi-Core CPU Parallel Computation for CFD Simulation of Flowmeter, International Symposium on Information Science & Engineering 2008 (ISISE '08).

Numerical calculation of centrifugal fan 9-19No.4A Fannian Meng 1,a, Quanlin Dong 1,b , Nan Chen 1,c and Yunqiang Fan 1,d 1School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, 100191, China amengfannian123@163.com, bdongquanlin@buaa.edu.cn, c850663566@qq.com, dyq8933@163.com Keywords: Centrifugal fan; CFD; Numerical Simulation.
Based on CFD theory and standard two-equation turbulent model, the simulations of turbulent flow between the impeller and the volute under different operating conditions are performed by using the flow calculation software CFX.
The numerical calculation and visualization analysis are carried out using the CFD software CFX.
Computational fluid dynamics (CFD) has made great progress in calculating the three-dimensional flow in centrifugal pumps and fans.
The article based on CFD simulation lays the foundation of multiple loading conditions performance evaluation for CFD numerical simulation.

Performance analysis of feeding device of port pneumatic grain unloader in CFD GUO Liwei1, a, LIU Bo2,b 1, 2 College of mechanism and electron engineering, Central South University, Changsha ,Hunan ,China 410075 alevisguo@qq.com, b liuboyh@126.com, Keywords: CFD; Port pneumatic grain unloader; Feeding nozzle; Secondary air.
With refinement of the grid type in detailed section, a better quality of simulation analysis is achieved.
With refinement of the grid type in detailed section, a better quality of simulation analysis is achieved.
Through the numerical simulation analysis of the flow field, the initial design flaws and improved methods is obtained; 2.
Numerical simulation of nozzle flow field analysis based on CFD software is a fast, intuitive design approach can significantly improve the efficiency and accuracy of the test study, shorten product development cycles and reduce the number of product trial.

Keywords: CFD, cyclone spray scrubber, flow pattern, velocity, turbulent intensity Abstract.
The numerical simulation of the fluid flow is presented by CFD technique to characterize the flow pattern of cyclone spray scrubber.
In this work, the numerical simulations of the gas flow pattern in the cyclone spray scrubber including the tangential velocity, axial velocity and turbulent intensity, are performed and compared by the CFD software package to reveal the effect of cyclonic flow on the absorbing enhancement.
Although numerical simulation is relatively complex and demands much computational time, due to the nature of the gas turbulence model and the particle track method for its implementation, it does appear to demonstrate that the CFD technique can be successfully applied to strongly swirling turbulent gas flows.
Pericleous, K.A., 1987, Mathematical simulation of hydrocyclones, Appl Math Modeling, 12.

A classical bubble growth model has been used in the simulation.
The mass transfer between the gas-liquid was also included in this simulation.
In addition, the bubble growing simulation can also be visualised using CFD.
After the validation of the CFD-PBM approach, the same simulation case was repeated with 3 different bubble clusters with initial size of 0.3, 0.6 and 1.2 mm.
The bubble growth model had been successfully incorporated in the CFD-PBM simulation.

CFD developed rapidly in capability and practicality during past years.
Table 2 Simulation results of No.1 test Drift angle (°) X force(N) Y force(N) N moment(N.m) Outer Propeller thrust (N) inner Propeller thrust (N) CFD 40.52 -36.38 -27.31 30.75 29.53 EXP 42.38 -37.79 -29.07 31.18 29.98 Error(%) -4.39 -3.73 -6.05 -1.38 -1.50 0 CFD 39.14 -70.83 -48.44 31.95 28.36 EXP 41.25 -73.88 -51.93 32.54 28.93 Error(%) -5.12 -4.12 -6.72 -1.81 -1.97 14 CFD 39.26 -110.80 -76.79 34.19 27.40 EXP 41.67 -114.99 -82.92 34.82 28.12 Error(%) -5.78 -3.64 -7.39 -1.78 -2.56 16 CFD 37.34 -123.87 -86.32 35.50 26.28 EXP 39.23 -132.2 -92.44 36.00 26.73 Error(%) -4.82 -6.30 -6.62 -1.39 -1.68 0 CFD 31.98 -170.39 -123.71 37.18 23.57 EXP 34.45 -180.52 -136.3 37.72 23.93 Error(%) -7.17 -5.61 -9.24 -1.43 -1.50 interference coefficients.
Table 3 Simulation results of No.2 test Rudder angle (°) X force Y force N moment Outer Propeller inner Propeller Outer Inner (N) (N) (N.m) (N) (N) 10.8 11.4 CFD EXP Error(%) 38.84 40.06 -3.04 -24.76 -25.16 -1.59 41.82 43.39 -3.62 30.58 31.39 -2.58 29.85 30.44 -1.94 16.3 17.1 CFD EXP Error(%) 34.68 35.57 -2.50 -36.36 -37.51 -3.06 63.03 64.73 -2.63 30.45 30.77 -1.04 29.53 30.26 -2.41 27.4 28.4 CFD EXP Error(%) 23.37 24.34 -3.98 -41.86 -42.96 -2.56 73.47 77.40 -5.08 31.02 31.75 -2.30 30.82 31.68 -2.71 Table 4 Simulation results of No.3 test Drift angle Rudder angle (°) X force Y force N moment Outer Propeller inner Propeller (°) Outer Inner (N) (N) (N.m) (N) (N) -8 -11.2 -11.5 CFD 38.13 32.96 73.58 30.56 28.34 EXP 40.32 34.33 79.17 31.51 29.43 Error(%) -5.43 -3.99 -7.06 -3.01 -3.70 -12 -11.2 -11.5 CFD 37.01 69.33 99.47 31.55 27.10 EXP 40.28 74.97 110.1 33.48 28.49 Error(%) -8.12 -7.52 -9.65 -5.76
The numerical simulations have reached the reasonable accuracy for engineering purpose.
Agdrup: CFD with PMM test Validation for Manoeuvring KVLCC2 Tanker in Deep and Shallow water, International Conference on Marine Simulation and Ship Maneuverability(MARSIM’06), Terschelling, Netherlands, Vol.12(2006), P.24 [2] L.P.

CFD Simulation of CO2 Dispersion in a Real Terrain Bin Liu a, Xiong Liu b, Cheng Lu c* , Anh Kiet Tieu d, Ajit Godbole e and Guillaume Michal f School of Mechanical, Materials and Mechatronic Engineering, University of Wollongong, NSW 2522, Australia abl384@uowmail.edu.au, bxiong@uow.edu.au, cchenglu@uow.edu.au, dktieu@uow.edu.au, eAjit_Godbole@uow.edu.au, fgmichal@uow.edu.au Keywords: Carbon Capture and Storage; CO2 dispersion; CFD modelling Abstract.
CFD Models Basic Equations.
The standard k-e turbulence model is chosen in this simulation because it has been widely validated in dispersion simulations [5,6].
Summary In this study, CFD models for simulating CO2 dispersion over a real terrain are presented.
Abbasi, CFD-based simulation of dense gas dispersion in presence of obstacles, Journal of Loss Prevention in the Process Industries, 24 (2011) 371-376.

CFD Research and Investigation of 2011 P4/5 Competizione Rear Wing Aldo Pugliese1,a, Yang Zhigang1,b, Li Qiliang1,c 1Shanghai Automotive Wind Tunnel Center Tongji University Shanghai, 201804, China aaldo.pugliese88@gmail.com, b zhigang.yang@sawtc.com, cqiliang.li@sawtc.com Keywords: Race car rear wing; Downforce and Drag; CFD simulations; Slot gap Abstract In order to analyze the influence of the rear wing of a competition race car on the aerodynamics of the whole vehicle, computational fluid dynamics simulations have been performed.
In particular, it has been analyzed through 3D CFD simulations, which kind of contribution the rear wing provides in terms of drag and lift and how the modification of the angle of attack of the two airfoil shape elements and their interactions may influence the aero-performance of the car.
a) Middle and small box b) Tunnel, middle and small box Fig.4: Mesh models of the computational domain Computational method Computational fluid dynamics (CFD) commercial software – Ansys FLUENT has been used to perform the simulation; it solves the three-dimension incompressible Reynolds Average Navier–Stokes equations in finite volume approach.
Configurations 1 and 2 have the same set-up, but simulation has been performed respectively with rotational and non rotational wheels.
CFD study of section characteristics of Formula Mazda race car wings[J].