Search results

It is obvious that the results of CFD numerical analysis are consistent with the shadowgraph.
At the design stage, the properties and cutting performance of flow fields of gas jets from the nozzle should be analyzed through the computer simulation, so as to further optimize the design.
The experimental results are compared and prove to be in conformity with the simulation.
As can be seen from Fig. 3, it makes a good consistency that CFD calculation results contrast with the experimental methods shadowgraph results.
Experiments show that the gas jet properties calculated by CFD are very much in line with the actual situation, so it had very high credibility.

The indoor airflow simulation was carried out by using the CFD software. 3 states of interior doors were set, and 60 regions were arrayed in bedroom to observe the variation of airflows.
Model Following the experimental study, a three-dimensional CFD simulation was carried out.
The CFD simulation was performed by commercial CFD software, with a LVEL turbulence model.
Fig.1 Plane of residence Fig.2 Contour of ambient flow pattern Simulation results 3D simulation with turbulence model was carried out to investigate the real operating of the natural ventilation system.
Therefore, 60 regions’ data are extracted after simulation, thus having a further analysis of data.

While, in the study of numerical simulation of biomass derived syngas combustion in a swirl flame combustor, the analysis showed that the possibility to employ appropriate combustion models and simplified or detailed chemical schemes.
The simulation includes global reaction mechanism, assuming that complete conversion of the fuel to CO2 and H2O and other minor species.
Using species transport model, the steady turbulent flow equation are solved according to the generalized continuity, energy and momentum equation in CFD.
Peretto, “Numerical Simulation of Biomass Derived Syngas Combustion in a Swirl Flame Combustor”, Proceedings of ASME Turbo Expo 2010: Power for Land, Sea and Air, vol. 1, pp. 571-582, Glasgow, UK, June, 2010
Shuaib, and A.F.W.A Wan, “CFD Analysis of Temperature Distribution in Can Type Combustor Firing Synthetic Gas”, Applied Mechanics and Materials, Vol. 393 (2013), pp 741-746, 2013.

The surface wind pressure of temporary stand accompanied with cover is presented in this paper by CFD numerical method.
Then, the pressure coefficent of mentioned cases is analyzed from the simulation outcomes.
CFD numerical simulation method 1.1 Computational domain CFD (Computational Fluid Dynamics) numerical simulation is based on the Fluid's basic control equation, which can be able to acquire the space distribution state of the fluid through numerical calculation of the disperse fluid control units in numerical wind tunnel.
However, only a part of the whole atmospheric layer can be considered in numerical simulation which means man-made boundary wall is settled when we use CFD.
Analyze of large space truss temporary stand surface wind pressure based on CFD numerical simulation.

Numerical Simulation and Improved Design of Inner Flow Field on Single Function Shower Jing Huang1, a, Jun Zhang2, b, Hongzhou He3, c, Mingfang Lu4, d, Xiao Liu5, e 1,2,3 Cleaning Combustion and Energy Utilization Research Center of Fujian Province, College of Mechanical Engineering, Jimei University, 361021, China 4Department of Mechanical Engineering, Chienkuo Technology University, 500, Taiwan 5Marine Engineering Institute, Jimei University, 361021, China agostarts@126.com, bbull0202@sina.com, chhe99@jmu.edu.cn, dlumf@ctu.edu.tw, eliuxiaoyingbo@126.com Keywords: Fluent, Shower, CFD, Inner Flow Field, Numerical Simulation Abstract.
Results and Analysis Numerical simulation of internal flow in shower 1#.
CFD soft--- FLUENT [4] is employed to simulate inner flow characteristics.
Shower1# simulation results indicate that the velocity of outlet have a great fluctuation.
[5] Fujun Wang: Computational Fluid Dynamics Analysis---the CFD Software Principle and Application(Tsinghua University Press, China 2005).

A procedure is presented for simulation and analysis of secondary side of PGV-440 steam generator for nominal and increased reactor power.
Physical models were implemented in ANSYS Fluent CFD environment using the User Defined Functions (UDFs).
A detailed insight into two-phase flow on the secondary side can be obtained by a three-dimensional thermal-hydraulic numerical simulation.
The physical models were implemented in ANSYS Fluent CFD environment using UDFs.
Ilvonen, CFD-simulation of the VVER-440 steam generator with porous media model, 8th International Seminar on Horizontal Steam Generators, Podolsk, 2010, pp.1-15.

The range of Re for CFD simulations was 2738≦Re≦10269 and that for lift and drag study was 70512≦Re≦101319.
Results and Discussion Validation of NACA 643-218 airfoil standard CFD model.
The CFD results are compared with the published data from Abbot et al. [10] in order to validate the current work.
As can be seen in Fig. 2, a good agreement between the CFD results and published data is achieved.
CD were obtained from simulations.

CFD simulation of a fluidized bed reactor was also conducted by Rong et al. [8] focusing on the chemical kinetic aspects and taking into account the intra-particle heat and mass transfers, poly-disperse particle distributions, and multiphase fluid dynamics.
The Syamlal–O’Brien drag expression was used in these simulations.
Values of parameters used in the simulations and experiments.
[4] Grace, J.R., Taghipour, F., Verification and validation of CFD models and dynamic similarity for fluidized beds.
R.O., CFD Simulation of Polydisperse Fluidized-Bed Polymerization Reactors, Department of Chemical Engineering, Iowa State University, 2114 Sweeney Hall, Ames, IA 50010-2230, USA, Preprint submitted to Elsevier Science, August 2003

Simulation of 3-D Unsteady Flows in a Tubular Hydro-Turbine on DES Zhenyu OUYANG 1, a, Lixiang ZHANG 2, b 1,2 Faculty of Civil Engineering, Kunming University of Science and Technology, Kunming, 650500,China a15912402706@163.com, bzlxzcc@126.com Keywords: Tubular Hydro-Turbine; computational fluid dynamics (CFD); 3D unsteady turbulences; detached eddy simulation(DES); numerical simulation Abstract.
The vortex model is picked with detached eddy simulation for the unsteady turbulent field calculations, in order to obtain the transient characteristics of the turbine turbulent flow.
Due to the higher efficiency of the method of calculation of RANS, it is widely used in practical engineering , but its drawback is that the rotation effect on the turbulent flow is difficult to reflect; Large Eddy Simulation CFD method is currently a hot research and application[3-4], and for the rotation of the turbulence it has better adaptability but also occupies a larger computing resources; DES method is integrated with the advantages of both, and with a better application[5].
Nanoparticle Transportation and Brownian Diffusion in Planar Jet Flow via Large Eddy Simulation [J].
Francis turbine fine three- dimensional unsteady flow separation eddy simulation model [J].

The inner flow field and performance characteristics had been studied based on CFD simulations.
To prove the accuracy of the numerical method, the pump was tested and compared with the numerical simulation.
Numerical simulation of the cavitating flow was performed by using a homogenous flow model.
The results of numerical simulations using CFD are compared with experiments.
Jafarzadeh: The flow simulation of a low-specific-speed high-speed centrifual pump [J].