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Online since: October 2014
Authors: Xiao Ying Xu, Kuan Wang
As we all know, it’s difficult to find the optimal layout under a certain speed in CFD simulation because sufficient time and high-level computing equipment are needed.
Therefore, We took CFD simulation results as sample and trained BP neural network.
CFD Simulation.
In other words, the numerical value of the network and CFD simulations of this group would do a comparison, and then the accuracy and reliability of the network prediction is illustrated.
One day is needed for a group resistance through CFD simulation and more time for a greater Fr.
Therefore, We took CFD simulation results as sample and trained BP neural network.
CFD Simulation.
In other words, the numerical value of the network and CFD simulations of this group would do a comparison, and then the accuracy and reliability of the network prediction is illustrated.
One day is needed for a group resistance through CFD simulation and more time for a greater Fr.
Online since: January 2016
Authors: Ivana Oleksakova, Marek Magát
For simulation of wind flow is used OpenFOAM software with k-epsilon model, which is in many papers represents as one of the best and most reasonable model for evaluation pedestrian comfort.
With CFD can be evaluate this problem very effective and not even time-consuming compared to wind tunnel experiment.
For calculations is used OpenFOAM, which is free, open CFD software.
CFD and turbulent flow Turbulence is the state of fluid motion that is characterized by apparently random and chaotic tree-dimensional vorticity.
"CFD - The open source CFD toolbox." from http://www.openfoam.com
With CFD can be evaluate this problem very effective and not even time-consuming compared to wind tunnel experiment.
For calculations is used OpenFOAM, which is free, open CFD software.
CFD and turbulent flow Turbulence is the state of fluid motion that is characterized by apparently random and chaotic tree-dimensional vorticity.
"CFD - The open source CFD toolbox." from http://www.openfoam.com
Online since: January 2016
Authors: Mohamed Shokry, Khalid M. Saqr, Mohamed Shehadeh, Ali I. Shehata
CFD Model Details
Mathematical model
The CFD model presented herein adopted steady, incompressible, laminar two-phase flow assumptions, with non-Newtonian power law viscosity.
The simulation was performed for pressure filtration where inlet pressure was kept at 100 kPa.
The result of the validation case agrees well with previous published simulations [17].
"Wellbore thermal simulation model: heory and User's Manual."
"Filter cake formation on the vertical well at high temperature and high pressure: Computational fluid dynamics modeling and simulations."
The simulation was performed for pressure filtration where inlet pressure was kept at 100 kPa.
The result of the validation case agrees well with previous published simulations [17].
"Wellbore thermal simulation model: heory and User's Manual."
"Filter cake formation on the vertical well at high temperature and high pressure: Computational fluid dynamics modeling and simulations."
Online since: October 2011
Authors: Lei Yuan, Li Li Shao, Bo Li, Jia Meng Wu, Xue Song Xu
In this paper, CFD simulations of the wind environment of four typical urban spaces in Shenzhen are introduced.
The process and criteria of wind assessment based on CFD (Computational Fluid Dynamics) simulations using Airpak are shown.
In contrast with wind tunnel, CFD is cheaper and takes less time.
The accuracy of CFD for urban wind assessment is therefore acceptable.
Airpak with Fluent solver is used as simulation tool for the wind assessment.
The process and criteria of wind assessment based on CFD (Computational Fluid Dynamics) simulations using Airpak are shown.
In contrast with wind tunnel, CFD is cheaper and takes less time.
The accuracy of CFD for urban wind assessment is therefore acceptable.
Airpak with Fluent solver is used as simulation tool for the wind assessment.
Online since: November 2013
Authors: Xiao Ming Rui, Da Da Wang, Jun Yu Liang, Lei Yang, Ying Pei Xia
CFD Numerical Simulation of Aeolian Vibration of Single Conductor Based on the ADINA
Yingpei Xia1,a, Xiaoming Rui1,b, Lei Yang1,2,c, Dada Wang2,d, Junyu Liang2,e
1Mechanical engineering department, North China Electric Power University,
Beijing, China
2Graduate Workstation of North China Electric Power University & Yunnan
Power Grid Corporation, Kunming, China
axyp_ncepu@163.com, brxm@ncepu.edu.cn, cyl8311222@163.com,
ddadawang@vip.sina.com, eljy_1029@163.com
Keywords: Single conductor, Aeolian vibration, ADINA, FSI, Numerical simulation.
In recent years, scholars did a lot of work on the Aeolian vibration problem using the CFD software, the results show that this method is relatively efficient and effective.
The Aeolian vibration simulation model of the transmission line Aeolian vibration of transmission line is a problem which involves electrical, mechanical, meteorology and air dynamics disciplines, and because of fluid-structure coupling and nonlinear characteristics, it is very difficult to solve this problem by CFD software only.
The accuracy of the simulation result and simulation time-consuming are directly affected by the accuracy fluid domain mesh.
CFD NUMERICAL SIMULATION OF FLOW-INDUCED VIBRATION WITH DIFFERENT CROSS-SECTION CYLINDER.
In recent years, scholars did a lot of work on the Aeolian vibration problem using the CFD software, the results show that this method is relatively efficient and effective.
The Aeolian vibration simulation model of the transmission line Aeolian vibration of transmission line is a problem which involves electrical, mechanical, meteorology and air dynamics disciplines, and because of fluid-structure coupling and nonlinear characteristics, it is very difficult to solve this problem by CFD software only.
The accuracy of the simulation result and simulation time-consuming are directly affected by the accuracy fluid domain mesh.
CFD NUMERICAL SIMULATION OF FLOW-INDUCED VIBRATION WITH DIFFERENT CROSS-SECTION CYLINDER.
Online since: December 2010
Authors: Wen Song, Zhi Guo Zhang, Lei Yue, Xian Zhou Wang
Furthermore a 2-D CFD code has been used to perform a detailed analysis.
Numerical Method Based on the definition of flow model from [5.6 &13], the flow inside our model suited for the continued flow model which means the numerical method of solve N-S equation described in [8] is valid for simulation of flow and heat transfer in the research object. 1-D model and 2-D CFD model.
Fig.7, Fig.8 and Fig.9 show the temperature, pressure and the heat transfer rate across the diaphragm, respectively, over a cycle in the compression space as obtained from the 1-D Sage and 2-D CFD model simulations.
The maximum error of simulation result is less then 5% which will be accurately enough for engineering application.
The CFD simulations present a more realistic approach to the model.
Numerical Method Based on the definition of flow model from [5.6 &13], the flow inside our model suited for the continued flow model which means the numerical method of solve N-S equation described in [8] is valid for simulation of flow and heat transfer in the research object. 1-D model and 2-D CFD model.
Fig.7, Fig.8 and Fig.9 show the temperature, pressure and the heat transfer rate across the diaphragm, respectively, over a cycle in the compression space as obtained from the 1-D Sage and 2-D CFD model simulations.
The maximum error of simulation result is less then 5% which will be accurately enough for engineering application.
The CFD simulations present a more realistic approach to the model.
Online since: October 2014
Authors: Si Yu Xin, Qing Wang, Hong Qin, Jing Ru Bai
Analysis of temperature field in an Oil-shale retorting furnace with gas heat carrier based on CFD
BAI Jingru1, a , XIN Siyu1, b , WANG Qing1, c , QIN Hong1, d
1 School of Energy and Power Engineering,Northeast Dianli University,Jilin Jilin,China
a bai630@mail.nedu.edu.cn , b syxinsyxin@sina.com ,
c rszx@mail.nedu.edu.cn, d qinhong01@163.com
Key words:CFD; oil-shale; retorting furnace; temperature field
Abstract.
In this paper, the temperature field in the accumulation body of nobby oil shale inside the retort area was simulated as porous media by CFD.
Fig. 1 Structural schematic map of experiment furnace Fig. 2 The mesh of this modeling Simulation Modeling.
Based on the trim size of gas retort, the geometric model is built, and gridded in the ICEM-CFD.
In their designing process, because of the large inside space, the influence by the side wall on the interior stack is smaller than that of the small gas retort, and the simulation outcome is more accurate.
In this paper, the temperature field in the accumulation body of nobby oil shale inside the retort area was simulated as porous media by CFD.
Fig. 1 Structural schematic map of experiment furnace Fig. 2 The mesh of this modeling Simulation Modeling.
Based on the trim size of gas retort, the geometric model is built, and gridded in the ICEM-CFD.
In their designing process, because of the large inside space, the influence by the side wall on the interior stack is smaller than that of the small gas retort, and the simulation outcome is more accurate.
Online since: September 2015
Authors: Wim Van der Veken, Martine Baelmans, Joris Coddé
Good correspondence is achieved in comparison with CFD simulation results for a zig-zag cooled power transformer winding.
Pressure Drop Correlations CFD simulations of single T-junctions and elbows are now performed to set up accurate pressure drop correlations.
CFD Simulations The ‘measured’ pressure drop is determined by CFD simulations.
Results are compared to those of the CFD simulation.
However, there is still a quantitative mismatch between the CFD simulation and the network model.
Pressure Drop Correlations CFD simulations of single T-junctions and elbows are now performed to set up accurate pressure drop correlations.
CFD Simulations The ‘measured’ pressure drop is determined by CFD simulations.
Results are compared to those of the CFD simulation.
However, there is still a quantitative mismatch between the CFD simulation and the network model.
Online since: January 2021
Authors: Mervyn Cooper, Brian Frame, Thomas David Arthur Jones, Jan B. Vorstius, Richard I. Strachan, David M. Mackie
The development of a CFD model, using finite volume modelling software Ansys Fluent TM, involves optimisation of simulation parameters to achieve accurate modelling of casting phenomena.
Results and Analysis Amush optimisation CFD simulations were made for one casting speed for different initial Amush conditions and mesh size 1×10-3 m.
Conclusions CFD simulations investigating solidification of OFCu, VUCC, 8 mm rod have been performed and Amush and cell size optimisation was performed with consideration of simulation time, equilibrium conditions and position of SF.
The simulation was compared with cast rod grain growth direction and highlighted qualitatively that the CFD model provided a prediction of the grain growth.
Thomas, CFD Modeling and Simulation in Materials Processing 2018.
Results and Analysis Amush optimisation CFD simulations were made for one casting speed for different initial Amush conditions and mesh size 1×10-3 m.
Conclusions CFD simulations investigating solidification of OFCu, VUCC, 8 mm rod have been performed and Amush and cell size optimisation was performed with consideration of simulation time, equilibrium conditions and position of SF.
The simulation was compared with cast rod grain growth direction and highlighted qualitatively that the CFD model provided a prediction of the grain growth.
Thomas, CFD Modeling and Simulation in Materials Processing 2018.
Online since: November 2013
Authors: Lin Chen, Qian Feng
The experimentally validated numerical tools, based on computational fluid dynamics(CFD), were proposed.
The simulated results and experimental data were in good correspondence, which verify the simulation methods are reasonable and the simulation results are acceptable.
Flow field computations were determined with the commercial CFD code FLUENT (version 6.3).
References [1] Xuesong Guo, Xin Zhou, Qiuwen Chen et al: Flow field and dissolved oxygen distributions in the outer channel of the Orbal oxidation ditch by monitor and CFD simulation[J].
[4] Fayolle Y, Cockx A, Gillot S, Roustan M, et al: Oxygen transfer prediction in aeration tanks using CFD[J].
The simulated results and experimental data were in good correspondence, which verify the simulation methods are reasonable and the simulation results are acceptable.
Flow field computations were determined with the commercial CFD code FLUENT (version 6.3).
References [1] Xuesong Guo, Xin Zhou, Qiuwen Chen et al: Flow field and dissolved oxygen distributions in the outer channel of the Orbal oxidation ditch by monitor and CFD simulation[J].
[4] Fayolle Y, Cockx A, Gillot S, Roustan M, et al: Oxygen transfer prediction in aeration tanks using CFD[J].