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Online since: June 2014
Authors: Qiong Zhang, Liang Wang, Yong Ye Liu, Ya Hua Qiao, Fu Dong Liu, Bo Wang, Rui Ping Guo, Yang Yang, Chun Ming Zhang, Shao Qing Yu
In order to solve the problem, some scholars use coupling method of mesoscale meteorological model and the small and medium scale atmospheric diffusion model or computational fluid dynamics (CFD) model to carry out regional or small scale wind field simulation, that is, to achieve refinement numerical simulation by using the method of dynamical downscaling.
For instance, National Climate Center [18] carried out a more detailed calculation on wind speed of concerned region by using hourly wind speed simulation results of MM5 as initial field of CFD software, indicating that simulation results of MM5 and CFD method, faster and more economic, are more consistent with observation results, and can be used as one of the wind field simulation methods under complex terrain conditions, which has certain application value.
Besides, Fang [19] also uses WRF mesoscale numerical models coupled with CFD software to carry out researches on the applicability of combined numerical simulation study of mesoscale and small scale mode on wind energy resources of complex topography, indicating that it is feasible to use WRF and CFD method on numerical simulation of complex topography and wind resources assessment, and is more advantageous to make refined regional wind energy resource distribution map.
The simulation results are more accurate than with CFD software only.
Study on numerical simulation of wind energy resources based on WRF and CFD models (in Chinese).
Online since: November 2015
Authors: Ion Mălăel, Valeriu Dragan, Razvan Bimbasa, Bogdan Gherman
All results were obtained through 3D CFD simulations carried out with the k-omega SST model.
Curves given in [13] were compared with the current CFD results for efficiency and head.
The CFD setup and simulations Due to their accuracy in predicting the behavior of swirling flows and boundary layer separation [15], the Menter SST turbulence model [16] was chosen, with the curvature and rotation corrections [17].
Overall good correlations were observed by comparing the CFD results with the correlations from [13].
Brenner, "Unsteady CFD simulations of a pump in part load conditions using scale-adaptive simulation", International Journal of Heat and Fluid Flow Vol31, Iss 6, 2010 [5] B.Semlitsch, V.
Online since: May 2012
Authors: Jian Feng Wu, Cai Hua Wang
It focused the effect on the numerical simulation for bending-span ratio.
In order to solve this problem, based on numerical wind tunnel method has the advantages of low cost, fast speed, the results collecting more comprehensive advantages, this paper using CFD knowledge, using the FLUENT software, using RNG turbulence model, simulating a landform, have numerical simulation of the average wind pressure coefficient of the rhombic plane saddle roof.
CFD NUMERICAL SIMULATION Mathematical models (Control equations ).Control equation In Reference(Wang2004).
In this paper, the numerical simulation selected RNG- model.
[4] Wang, F.J..Computational fluid dynamics analysis of CFD software theory and application [ M].
Online since: November 2011
Authors: Wei Xing Xu, Ming Yue Fan
Structure Reverse Design and CFD Analysis on Agitated Flow Field of Submersible Mixer Weixing Xua and Mingyue Fanb Jiangsu University, Zhenjiang, China axu_wx@ujs.edu.cn, bfangl@ujs.edu.cn Keywords: Submersible mixer; impeller; agitated flow field; CFD; reverse engineering Abstract.
The flow formulation is founded as console formulation first, and with the body-fitted coordinate system and standard turbulent model, the numerical simulation of the internal 3-D incompressible turbulent flow agitated flow field of submersible mixer is carried out by numerical simulation software Fluent.
At the same time, CFD can provide the full details of the flow.
This paper deals with the numerical simulation analysis on the agitated flow field of the submersible mixer (its diameter is 360mm, and its rotational speed is 1430r/min) by CFD software Fluent.
[8] L.J.Zhang and X.C.Ye, “CFD Numerical Simulation on Turbulent Flow in Stirred Tanks,” Journal of Nanjing University of Technology, Vol.27, 2003, pp.59-63
Online since: February 2014
Authors: Fu Sheng Li
Flow Field Analysis of HVAC Face-blowing Duct Based on CFD Fusheng Li Wuhan University of Technology, Wuhan 430070, China 360348050@qq.com Keywords: face-blowing duct; CFD; flow field; guide plate Abstract.
With computational fluid dynamic (CFD) theory and method, the airflow field was simulated in software Fluent to obtain the airflow distribution to each outlet.
Fig.1 Model of the face-blowing duct The Applicational Simulation of CFD Mathematical models.
CFD Analysis and Optimization of Automotive Air-conditioning Duct System[J].
Improved Design of Car Central Air-Conditioning Duct System Based on CFD[J].
Online since: September 2014
Authors: Tian Yun Li, Yong Ou Zhang, Tao Zhang
A structured CFD mesh is built to compute the turbulent flow.
In the CFD simulation, the CFL number is between 1 and 5 while the y+ is less than 100.
CFD mesh is shown in Fig. 2.
The span of the model is subdivided into 20 layers in the CFD mesh.
Boundaries in the CFD are set as: Wall 1 Wall 2 Wall 3 Wall 4 Outlet Inlet Fig. 2 CFD mesh with boundary conditions 1) The inlet boundary of the flow is a velocity boundary.
Online since: June 2014
Authors: Abdul Mutalib Leman, Nor Halim Hasan, Md Radzai bin Said, Norzelawati Asmuin
As additional, Flynn and Sills [7] in CFD study emphasis on mesh size, time step, duration of simulation, and numbers of particles per size are the important variable.
Save on labor cost and time consumption as if used the CFD in a beginning stage of LEV development highlighted by C.S.
The objectives of this study the make a comparative study between design stage, experimental and simulation using computer simulation.
The different with outlet velocity for simulation and analytical is 18% where the outlet velocity for analytical 5.715 m/s and simulation 6.99 m/s.
A Study Of The Effectiveness Of Local Exhaust Ventilation (LEV) Using Computational Fluid Dynamics (CFD) Approach.
Online since: February 2013
Authors: Qing Song Yan, Gang Lu, Bai Ping Lu, Shuai Xu, Kang Li
Recently, some studies investigated hydrodynamic behaviour inside emitter channel by suing the CFD method [9, 10, 11].
Simulation results The simulations of the four types of drip emitters (table I) by adopting the three chosen models have been conducted.
The curves indicate that there is a good agreement between the results of the three models and the simulated results of CFD simulations.
However, these factors have not been taken account in the simulations.
Hydraulic flow behaviour through an in-line emitter labyrinth using CFD techniques.
Online since: July 2011
Authors: Yong Jin, Zheng Lin Liu, Ru Yi Wang
However, the computational fluid dynamics (CFD) and fluid structure interaction (FSI) method is ideal for the simulation of the hydrodynamic and elasto-hydrodynamic lubrication (EHL) [1].
CFD model and FSI model Method and modeling.
CFD model.
Conclusions Numerical simulation of water-lubricated rubber bearing with ten water grooves using CFD and FSI techniques and water film pressure distribution of CFD model and FSI model are studied, especially focused on the influence of axial velocity and rotating speed on the film pressure and the bearing bush deflection.
Pai, D.S.Rao, et al: World Journal of Modeling and Simulation.
Online since: May 2011
Authors: Xiao Liu, Yu Bu, Wei Tan, Yu Jin Liu, Ze Jun Wang
In this paper, CFD (Computational Fluid Dynamics) method was applied for instantaneous LPG release in an open environment in order to analysis the expansion process of two-phase cloud.
The results from simulation are compared with the published experimental data to validate the model.
The prediction of this flammable cloud dispersion is critical, so some simulation and laboratory work about this issue have been done [3, 4].
Fig. 1 Model set-up Fig.2 Comparison of the mean velocity of droplets at 0.22, 0.32 and 0.4 m Commercial available CFD software FLUENT 6.3.26 was used for simulation.
Fig. 7 Entropy change in 1s Fig. 8 Entropy change in first 0.2s Conclusions This paper presents the successful application of a CFD approach to the simulation of the two-phase LPG cloud expansion from a small-scale instantaneous release.
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