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Online since: February 2013
Authors: Chao Bo Li, Dou Wei, Xia Yang
In this study, we introduced and simulated a large-area ICP source with size of 1500*1500*500mm3 before setting up practical plasma source with simulation software CFD-ACE+.
In the process of simulation Argon was utilized instead of industrial gas for simplicity.
Simulation of Model Structure Fig. 1(a) and Fig. 1(b) show 2D and 3D schematic diagram of plasma chamber, respectively.
(a) (b) Fig.1 2D and 3D schematic diagram of plasma chamber 2D Simulation Discussion Plasma parameters of 2D simulation are shown in Table 1 and corresponding results was displayed by Fig. 2.
Plasma distribution along direction of gas flow is in accordance with results of 2D simulation (Fig. 3(b)).
In the process of simulation Argon was utilized instead of industrial gas for simplicity.
Simulation of Model Structure Fig. 1(a) and Fig. 1(b) show 2D and 3D schematic diagram of plasma chamber, respectively.
(a) (b) Fig.1 2D and 3D schematic diagram of plasma chamber 2D Simulation Discussion Plasma parameters of 2D simulation are shown in Table 1 and corresponding results was displayed by Fig. 2.
Plasma distribution along direction of gas flow is in accordance with results of 2D simulation (Fig. 3(b)).
Online since: June 2014
Authors: Guo Bing Kang
Numerical simulation of jet and cross-flow mixing in Tee pipe
Guobing Kang1,a
1Department of Packaging & Printing Engineering,
Guangdong Industry Technical College , Haizhu District, Guangzhou City, China
akanggb@sina.com
Key words: Tee pipe; turbulent jet; mixing effect; numerical simulation
Abstract: In the present paper we investigated the mixing effect of uncompressible jet and cross-flow in Tee pipe based CFD, the model of Realizable was employed as the tool to simulate the flow field, and the model was validated by experimental result of relative research.
Numerical simulation of a pipeline tee mixer.
Large-eddy simulation of a round jet in a cross-flow.
Multi-scale simulation of turbulent mixing in ejector.
Multi-scale simulation of turbulent mixing in Tee mixers.
Numerical simulation of a pipeline tee mixer.
Large-eddy simulation of a round jet in a cross-flow.
Multi-scale simulation of turbulent mixing in ejector.
Multi-scale simulation of turbulent mixing in Tee mixers.
Online since: December 2010
Authors: Zhi Guo Zhang, Ming Yue Liu, Qi Zhou, Jing Hu, Xian Zhou Wang
Based on CFD technology, flow around a 2-dimentional hydrofoil of highly skewed propeller and NACA series hydrofoils are simulated using 2D incompressible Navier-Stokes equation with Realizable k- turbulence model.
In the numerical simulation, the vapor volume fraction is calculated for different cavitation numbers and angles of attack by adding the mixture model.
Demin [9] develop a cavitation calculation scheme based on the Bubble Two-phase Flow cavity with a Large Eddy Simulation methodology for the simulation of ALE 15 and ALE 25 hydrofoils.
Simulations for 0, 4 and 8 degrees angle of attack are presented.
Conclusion A numerical simulation is applied to compute the flow around hydrofoils, which is demonstrated available by the comparison of experimental data.
In the numerical simulation, the vapor volume fraction is calculated for different cavitation numbers and angles of attack by adding the mixture model.
Demin [9] develop a cavitation calculation scheme based on the Bubble Two-phase Flow cavity with a Large Eddy Simulation methodology for the simulation of ALE 15 and ALE 25 hydrofoils.
Simulations for 0, 4 and 8 degrees angle of attack are presented.
Conclusion A numerical simulation is applied to compute the flow around hydrofoils, which is demonstrated available by the comparison of experimental data.
Online since: December 2011
Authors: Mao Yong Cao, Nong Liang Sun, Jing Li, Min Wang
Fan(2007) [15] mainly applies multi-agent system to the mine ventilation simulation, but the problem is that the simulation results can only be numerical and shown in tables, without any 3D even 2D simulations.
In the paper, he investigates the rule of smoke spreading based on the mathematical and physical model of fire by the numerical simulation technology, the mine fire network simulation technology, external fire source location and selection of escape route, and the technology of coupling between computational fluid dynamics (CFD) simulation and virtual reality software.
Scenarios simulation and roaming.
Du, et al(2010) [38], Zhu, et al(2010) [39], and Tan(2010) [41], for instance, try to simulate the process of the fire and smoke according to the numerical calculation results based on CFD.
Du, et al(2010) [38] and Tan(2010) [41] manage to fuse CFD calculation with VR software.
In the paper, he investigates the rule of smoke spreading based on the mathematical and physical model of fire by the numerical simulation technology, the mine fire network simulation technology, external fire source location and selection of escape route, and the technology of coupling between computational fluid dynamics (CFD) simulation and virtual reality software.
Scenarios simulation and roaming.
Du, et al(2010) [38], Zhu, et al(2010) [39], and Tan(2010) [41], for instance, try to simulate the process of the fire and smoke according to the numerical calculation results based on CFD.
Du, et al(2010) [38] and Tan(2010) [41] manage to fuse CFD calculation with VR software.
Online since: December 2013
Authors: Wisnoe Wirachman, Ramlan Zailani, Ehan Sabah Shukri
In this paper the influence of different twisted ratio on temperature distribution are simulated and analyzed by means of CFD software.
All of the simulation is carried out at the same inlet conditions with Reynolds number around 2.5 × 104 based on the inlet diameter of the diffuser.
The simulation is carried out using Numeca Fine/Open v.2.12-3 applying standard k-ε model.
The simulation results in an annular diffuser configuration C represent the temperature distribution in the annular diffuser using twisted ratio (Y/W = 1.16).
Zailani, “Numerical Simulation of Temperature Distribution in an Annular Diffuser Equipped With Helical Tape”, 2013 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA 2013), in press
All of the simulation is carried out at the same inlet conditions with Reynolds number around 2.5 × 104 based on the inlet diameter of the diffuser.
The simulation is carried out using Numeca Fine/Open v.2.12-3 applying standard k-ε model.
The simulation results in an annular diffuser configuration C represent the temperature distribution in the annular diffuser using twisted ratio (Y/W = 1.16).
Zailani, “Numerical Simulation of Temperature Distribution in an Annular Diffuser Equipped With Helical Tape”, 2013 IEEE Symposium on Business, Engineering and Industrial Applications (ISBEIA 2013), in press
Online since: September 2004
Authors: M. Souli, K. Mahmadi, N. Aquelet
Introduction
This paper gives a survey on relevant topics related to the numerical simulation of coupled fluid
structure interaction problems.
The numerical simulation of may problems in engineering requires multi-physics formulation.
Codes Coupling An other alternative to solve fluid structure interaction problems is codes, a CFD code for the fluid solver, and an FEA structure code for the structure part of the problem.
To illustrate the coupling procedure, a flow induced vibration is solved using the CFD Finite volume code SATURNE and an FEA structural ASTER, both developed by EDF Research and Development group [4] and [5].
A bird strike numerical simulation has been performed using the new coupling.
The numerical simulation of may problems in engineering requires multi-physics formulation.
Codes Coupling An other alternative to solve fluid structure interaction problems is codes, a CFD code for the fluid solver, and an FEA structure code for the structure part of the problem.
To illustrate the coupling procedure, a flow induced vibration is solved using the CFD Finite volume code SATURNE and an FEA structural ASTER, both developed by EDF Research and Development group [4] and [5].
A bird strike numerical simulation has been performed using the new coupling.
Online since: December 2013
Authors: Zong Liang Qiao, Feng Qi Si, Zhi Gao Xu, Lei Zhang
In fact, the experimental conditions and actual operating conditions are quite different and the numerical simulation is complex.
So it is necessary to study deeply based on the numerical simulation results and establish the relevant characteristics model.
Firstly, some numerical simulation experiments at working conditions were carried out using Fluent software.
For the comprehensive study of all the factors at different levels, 27 CFD simulation experiments were arranged according to the orthogonal experimental design method, using the Fluent software.
The average error between the regression value and CFD value is less than 1%.
So it is necessary to study deeply based on the numerical simulation results and establish the relevant characteristics model.
Firstly, some numerical simulation experiments at working conditions were carried out using Fluent software.
For the comprehensive study of all the factors at different levels, 27 CFD simulation experiments were arranged according to the orthogonal experimental design method, using the Fluent software.
The average error between the regression value and CFD value is less than 1%.
Online since: July 2011
Authors: Ying Li, Chen Yan, Ying Ying Zhai, Yu Hui Sha
This paper reports a CFD modeling study on the flow of gases in an electroslag furnace during Protective Gas Electroslag Remelting(PESR) process by a commercial code FLUENT.
The commercial code FLUENT is used for the numerical simulation of gases in the furance.
A quasi steady state, where the fluxes are in equilibrium, is used for the numerical simulation.
The general parameters and boundary conditions used for the simulation are summarized in Table 1.
Table 1: Gas in the furance: simulation parameters.
The commercial code FLUENT is used for the numerical simulation of gases in the furance.
A quasi steady state, where the fluxes are in equilibrium, is used for the numerical simulation.
The general parameters and boundary conditions used for the simulation are summarized in Table 1.
Table 1: Gas in the furance: simulation parameters.
Online since: December 2014
Authors: Bin Wang, Ping Wang, Lin Jing Liu
This paper put forward a simulation model of churning losses and compared the simulation results with theoretical value.
Simulation results testified the simulation model is pretty accurate and is feasible to be used for churning loss simulation.
And these factors will influence the results of experiment and simulation and also will decrease the accuracy of experiment and simulation.
ICEM CFD Gridding.
Lu, Theoretical analysis and simulation of power loss characteristics for EV Driveline.
Simulation results testified the simulation model is pretty accurate and is feasible to be used for churning loss simulation.
And these factors will influence the results of experiment and simulation and also will decrease the accuracy of experiment and simulation.
ICEM CFD Gridding.
Lu, Theoretical analysis and simulation of power loss characteristics for EV Driveline.
Online since: September 2013
Authors: Shou Guang Yao, Gong Li Wang, Qing Fang Cheng, Chang Jiang Zhou
Comparing the simulation results with the traditional CFD calculation results, we could find that the thermal lattice Boltzmann method have unique advantages in effectiveness and flexibility than the traditional calculation method.
It's different with the traditional numerical simulation methods, because of its unique background of mesoscopic particle.
Simulation results The following graphs are the simulation results of coupling distribution function models, which respectively shows the temperature distribution and velocity distribution of X direction under different Reynolds number.
Through the simulation computation, we can find: (1) Because of adopting the double distribution function, the thermal lattice Boltzmann can reduces the date error caused by compressible effect and improve the accuracy of simulation. (2) The new thermal lattice Boltzmann model has greater flexibility and adaptability on the choice of the discrete velocity model. (3) The calculation of numerical simulation results of the thermal lattice Boltzmann has good consistency with the traditional simulation results.
Lattice Boltzmann model for simulation flows with multiple phases and components [J].
It's different with the traditional numerical simulation methods, because of its unique background of mesoscopic particle.
Simulation results The following graphs are the simulation results of coupling distribution function models, which respectively shows the temperature distribution and velocity distribution of X direction under different Reynolds number.
Through the simulation computation, we can find: (1) Because of adopting the double distribution function, the thermal lattice Boltzmann can reduces the date error caused by compressible effect and improve the accuracy of simulation. (2) The new thermal lattice Boltzmann model has greater flexibility and adaptability on the choice of the discrete velocity model. (3) The calculation of numerical simulation results of the thermal lattice Boltzmann has good consistency with the traditional simulation results.
Lattice Boltzmann model for simulation flows with multiple phases and components [J].