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Online since: July 2014
Authors: Rui Wang, Zhou Zhou, Xiao Ping Xu
Therefore, the numerical simulation model should describe the experiment model as accurate as possible and even slight differences may also result in greater differences in the simulation results.
Fig.2 Computational grid for the TAU0015 airfoil Numerical Simulation Validation First, the numerical results of airfoil are compared with experiments data of Seifert and CFD results of INS2D [9] program to verify the reliability of the calculation code.
Fig.3 Comparison of CFD results with experiment and INS2D program Fig.4 Cp comparison of CFD results with experiment data Flow Control Performance The numerical simulation was conducted on the TAU0015 airfoil with synthetic jet.
The CFD result agrees well with the experiment data and program.
Further exploring CFD-based gust response and gust alleviation.
Online since: December 2014
Authors: Ling Zhang, Peng Jie Huang, Hai Qiang Li, Yun Peng Diao
The distribution law of inner flow was analyzed by using the SIMPLEC algorithm and multiple reference frame (MRF) model provided by CFD software Fluent.
The numerical simulation adopted CFD software Fluent to inner flow in the multistage pump impeller and guide vanes of DG85-80×10 type boiler.
Numerical simulation method Geometry Model and Meshing.
Numerical Simulation and Optimization of the Flow Field of the Multi-stage Centrifugal Pump.
Study on Three-dimensional Numerical Simulation of Turbulent Flow in the Centrifugal Pump with Long and Short Blades.
Online since: June 2021
Authors: Nkosinathi Madushele, Noor A. Ahmed, M. Prince Moifatswane
The analysis was conducted using a CFD method.
Also, they declared that numerical simulations are necessary to generate a complex cavitation phenomenon.
Research on dynamic modeling and simulation of axial- flow pumping system based on RBF neural network.
Simulation of cavitation performance of an axial flow pump with inlet guide vanes.
Numerical simulation of water flow in an axial flow pump with adjustable guide vanes.
Online since: December 2012
Authors: Peng Lu, Jian Wang, Chun Bao, Ji Hong Bi
Numerical simulation on rivulets around stay cable subject to wind Jihong Bi1, 2, a, Jian Wang1,b, Peng Lu 1,c and Chun Bao 1 1School of Civil Engineering, Tianjin University, Tianjin 300072, China 2Key Laboratory of Coast Civil Structure Safety (Tianjin University), Ministry of Education, Tianjin 300072, China ajihongbi@sohu.com, bavonlea@163.com, clupeng@tju.edu.cn Keywords: Rain-wind induced vibration, Stay cable, Rivulet, Two-phase flow, VOF method, Numerical simulation.
The effect of gravity and air flow on morphology of rivulets is analysed by numerical simulation using computational fluid dynamics (CFD) software-CFX.
Li et al. quantitative measured and analysed the geometry and dynamic characteristics of rivulets around cable when RWIV occurred using ultrasonic transmission thickness measurement system in wind tunnel test [4], and then obtained the time history response of cable aerodynamic force by hybrid approach combining experiment and CFD numerical simulation [5].
To simulate the formation of rivulets more accurately, this paper presents a numerical simulation approach by combining gas-liquid two-phase theory and VOF method for the first time.
This approach is then applied to simulate the formation process of rivulets around cable and analyse the effect of gravity and air flow on morphology of rivulets using CFD software-CFX.
Online since: June 2014
Authors: Zheng Tao Wang, Wei Wei Liu, Jing Jing Xu
In this paper the heat transfer simulation of the gas-solid multiphase flow in ethylbenzene dehydrogenation catalyst kiln, heat conduction, convection and radiation involved, has been expressed by using the computational fluid dynamics (CFD) method.
With continuously increasing computer power, computational fluid dynamics software has made it possible that CFD methods can be applied to the heat transfer for the ethyl benzene dehydrogenation catalyst in the kiln.
Numerical Simulation of Heat Transfer in the Catalyst Drying Kiln Model.
Fig. 1 Whole computational domain Fig. 2 Mesh model The computational domains are discretized with the commercial CFD software.
Conclusion The paper presents a numerical method to simulate heat transfer for the ethyl benzene dehydrogenation catalyst in the kiln, and the simulation results indicate that the numerical method by applying commercial CFD software can effectively simulate heat transfer in the catalyst kiln.
Online since: August 2013
Authors: Yan Hua Yang, Shao Bo Wu, Zhao Niu
The mainstream methods include CFD simulation, model test and field research.
Then model test or field research can be taken to verify the accuracy of CFD simulation.
Therefore, the result of CFD simulation is of great value for the post-analysis.
In 2006, John Halkyard proposed some suggestions about the meshing and selection of turbulence model in CFD simulation under large Reynolds number, by comparing the results from model test and CFD simulation. [1] In 2005, Kallinderis Yannis studied the stability, time step and accuracy of CFD simulation under high Reynolds number, by CFD simulation considering the fluid-structure interaction.
The simulations are as below.
Online since: January 2013
Authors: Zhong Hua Wu, Qiu Fang Tong, Arun S. Mujumdar
A computational fluid dynamic (CFD) model was developed to study the fluid flow phenomena taking place in an industrial tundish.
Selected computer simulation results were validated with experimental data.
The CFD model included the Navies-Stocks continuity, and momentum governing equations.
All the equations were solved using a commercial CFD software-Fluent 6.3.
CFD modeling of liquid steel flow behaviors in industrial tundish: Third baosteel biennial academic conference, Shanghai, China: Sep 26-28, 2008
Online since: June 2013
Authors: Shu Lei Zhao, Xiao Tian Ding, Qiang Lin, Zheng Yuan Wei, Gui Fang Liu, Wei Wu
Computational Model Setup & Conditions Steady State Computational Fluid Dynamics (CFD) Simulation.
In the fluid domain, the Navier-Stokes equations were solved simultaneously in CFD simulation.
Based on the numerical procedure described previously, the results of CFD simulation are presented in Fig. 3~8.
Numerical results of the CFD analyses were then applied as thermal loads in the following mechanical simulation.
Results from CFD analysis were then used as thermal loads and input in the following thermo-mechanical simulations.
Online since: May 2014
Authors: Yu Fei Wang, Gong Chen, Li Lin Han
Wind tunnel and numerical simulations have shown that the rocket plume can significantly influence the aerodynamic behavior of the ejection seat especially at high angle-of-attack.
Local Grid Refinement The accurate simulation of the aerodynamic effects of rocket plumes is based upon an accurate prediction of the plume shape and surface pressure near the plume base.
Comparison of Measured and Computed Nozzle Thrust Profiles In Fig. 6,the thrust versus pintle position profiles predicted by the series of CFD solutions is compared to the profiles derived from the Aerojet test data.The equilibrium and frozen chemistry simulations predict almost identical thrust profiles,and both compare well with the test data.Both the CFD and test results produce a nearly linearly thrust profiles as a function of pintle position.At the lower thrust settings,the CFD simulations tend to over predict the nozzle thrust.This phenomenon was also reported in the Aerojet analysis[13]and was attributed to thermal expansion and ablation of the nozzle throat.
Acknowledgments The authors of this report would like to thank Dr.Anatha Krishnan of CFERC for his support in adapting CFD-ACE to perform equilibrium simulations of ejection seat rocket plumes,and Mr.Matt Thomas for providing information on the composition and properties of solid propellants.The authors would also like to thank Mr.Joe Morris and Mr.Bill Barnette of Aerojet for their full cooperation in providing detailed geometry and test data on the PEPS system.
[9]Habchi, S.D. and Rock, S.G., "CFD Analysis ofFourth Generation Ejection Seat with StagnationFences," CFDRC Report #4437/1, 1996.
Online since: January 2019
Authors: Radoslav Ponechal, Peter Juras
CFD (computational fluid dynamics) simulations can be considered as the best options for research in wind flow area these days.
One of the problem of CFD is that it is prone for error.
Basically, all simulations in the hand of non-professional users is, but with CFD differences from reality are often 2 - 5 times [7].
Prior to the decision about final placement of FMS, a preliminary CFD simulation in CFD software OpenFOAM was created [13].
Franke et al., The Cost 732 Best Practice Guideline for CFD Simulation of Flows in the Urban Environment: A Summary.
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