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Online since: January 2014
Authors: Jing Yan Zhang, Jia Jia Fu
Up to now the design of IVS in underground car parks is based on empirical knowledge and tested using CFD simulations.
However, just a few studies have been reported on the use of IVS for ventilation or smoke control in underground car parks, and most of them are based on empirical knowledge and tested using CFD simulations on a trial and error basis.
Nele Tilley[15] form Ghent University made a large number of car park CFD simulations, and developed the analytical formulae for required ventilation velocity in car parks, corresponding to a certain smoke backlayering distance, with considering four parameters (convective heat release rate per unit area, fire source area, car park height and car park width).
Though theoretical research and CFD simulations have been studied for many years, these results were not systematic and deep.
ECCOMAS CFD 2010: V European Conference on Computational Fluid Dynamics, Lisbon, June 14-17, 2010 [14] Viegas JC.
However, just a few studies have been reported on the use of IVS for ventilation or smoke control in underground car parks, and most of them are based on empirical knowledge and tested using CFD simulations on a trial and error basis.
Nele Tilley[15] form Ghent University made a large number of car park CFD simulations, and developed the analytical formulae for required ventilation velocity in car parks, corresponding to a certain smoke backlayering distance, with considering four parameters (convective heat release rate per unit area, fire source area, car park height and car park width).
Though theoretical research and CFD simulations have been studied for many years, these results were not systematic and deep.
ECCOMAS CFD 2010: V European Conference on Computational Fluid Dynamics, Lisbon, June 14-17, 2010 [14] Viegas JC.
Online since: February 2011
Authors: Hong Jun Zhu, Bo Shi Qiu, Xiao Lu Yang, Qing Kun Jia
Optimization design of self-excited oscillation cavity
Hongjun Zhu1,a, Boshi Qiu2,b, Xiaolu Yang1,c and Qingkun Jia1,d
1Department of Petroleum Engineering, Southwest Petroleum University, Chengdu, China
2Drilling Engineering Technology Corporation, Sheng-li oil field, Dongying, China
aticky863@126.com, bqbs12496989@yahoo.com.cn, c315136288@qq.com, d280071529@qq.com
Keywords: numerical simulation; Computational fluid dynamics; hydraulic energy; self-excited oscillation cavity; Optimization design
Abstract.
Therefore, in this paper, self-increasing flux of cavity with different velocity in annulus, ratio of upper and lower nozzle diameters and diameter of aperture were simulated using CFD numerical method.
According to the actual down-hole condition and the theory of hydrodynamics, the present work aims to study the flow fields in different aperture parameters by CFD simulations.
The equations of mass and momentum were solved using version 12.0.16 of the general purpose CFD code FLUENT.
Therefore, in this paper, self-increasing flux of cavity with different velocity in annulus, ratio of upper and lower nozzle diameters and diameter of aperture were simulated using CFD numerical method.
According to the actual down-hole condition and the theory of hydrodynamics, the present work aims to study the flow fields in different aperture parameters by CFD simulations.
The equations of mass and momentum were solved using version 12.0.16 of the general purpose CFD code FLUENT.
Online since: March 2014
Authors: Shu Shan Wang, Ji Feng Wei, Xiong Li, Yu Xin Xu
The basic experiment and detailed simulations are carried out to study the aerodynamic characteristics of projectile with deflectable nose.
Further simulations show that the influence of mach number and deflectable angle on drag, lift, pitching moment and flight trajectory.
With a vorticity confinement method, Vaughn[5] performed CFD solutions to validate the experimental data of Landers.
Further simulation can be done based on these parameters.
Gao: Computer Simulation Vol. 25 (2008), p. 23-26 [3] J.H.
Further simulations show that the influence of mach number and deflectable angle on drag, lift, pitching moment and flight trajectory.
With a vorticity confinement method, Vaughn[5] performed CFD solutions to validate the experimental data of Landers.
Further simulation can be done based on these parameters.
Gao: Computer Simulation Vol. 25 (2008), p. 23-26 [3] J.H.
Online since: December 2014
Authors: Hui Min Zhang, Hui Liang Liao
Structure optimization of open turbine type agitator
Huimin Zhang1,a*, Huiliang Liao2,b*
1,2School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai 201418 China
azhanghm@sit.edu.cn, b18621527191@163.com
Keywords:open turbine type agitator; numerical simulation; optimized; PIV experiments
Abstract:Regarding open turbine type agitator, CFD method was used to simulate the mixing flow field with different number of blades, different blade angles and different ratio of blade lengths and diameters.
Numerical simulations are verified by PIV experiments.
Yuan Zuqiang[7] used CFD to calculate the flow field in the agitated vessel of open turbine type three-blade propeller and optimized the bottom clearance for installation and diameter of propeller through the observation of flow field under different settings which agree with the empirical value.
(a) Experimental streamlines (b) streamlines of simulation (c) diagram of mean velocity Fig.3 Streamlines of experiment and simulation, diagram of mean velocity From the comparison of the results of PIV experiment and Fluent numerical simulation, both the swirl position and the flow pattern are basically the same.
It turns out that the PIV experiment verifies the correctness of the numerical simulation, and the selected MRF model conforms to the reality.
Numerical simulations are verified by PIV experiments.
Yuan Zuqiang[7] used CFD to calculate the flow field in the agitated vessel of open turbine type three-blade propeller and optimized the bottom clearance for installation and diameter of propeller through the observation of flow field under different settings which agree with the empirical value.
(a) Experimental streamlines (b) streamlines of simulation (c) diagram of mean velocity Fig.3 Streamlines of experiment and simulation, diagram of mean velocity From the comparison of the results of PIV experiment and Fluent numerical simulation, both the swirl position and the flow pattern are basically the same.
It turns out that the PIV experiment verifies the correctness of the numerical simulation, and the selected MRF model conforms to the reality.
Online since: October 2015
Authors: Thi Kim Dung Hoang, Phu Khanh Nguyen, Koichi Mori, Van Hoa Nguyen, Hai Anh Nguyen
In this paper, a simulation method was realized to predict aeroelastic response and characteristic parameters of wing structure.
Coupled aeroelastic solution procedures used strongly coupled algorithms which contained sufficient interaction between Computational Fluid Dynamics (CFD) and Computational Structural Dynamics (CSD) such as the stability of the system was at least equal to that of the least stable code [1].
Therefore, the System Coupling/ANSYS Workbench was used to transfer aerodynamic pressure loads from the CFD grid points to the CSD grid points and vice versa, which ensured a conservative transfer of energy between the two systems [3].
To determine the optimum time interval size, it was reduced until the aeroelastic simulation did not change by further decrease in the interval size [3].
The flow field was solved by using a commercial CFD solver, Fluent.
Coupled aeroelastic solution procedures used strongly coupled algorithms which contained sufficient interaction between Computational Fluid Dynamics (CFD) and Computational Structural Dynamics (CSD) such as the stability of the system was at least equal to that of the least stable code [1].
Therefore, the System Coupling/ANSYS Workbench was used to transfer aerodynamic pressure loads from the CFD grid points to the CSD grid points and vice versa, which ensured a conservative transfer of energy between the two systems [3].
To determine the optimum time interval size, it was reduced until the aeroelastic simulation did not change by further decrease in the interval size [3].
The flow field was solved by using a commercial CFD solver, Fluent.
Online since: June 2016
Authors: I. Nengah Diasta, Iwan Sanjaya Awaluddin, Indra Djodikusumo
CFD simulation is done using the ANSYS Fluent with pressure inlet and pressure outlet boundary conditions and k-ε turbulence model.
The resulting 3D models is then meshed and simulated by using CFD software.
CFD simulation results show that hydraulic efficiency is only about 84-85% [3, 4].
Fig. 26 Mesh Analysis CFD Simulation CFD Simulation is carried on ANSYS Fluent [12] with SRF (Single Reference Frame) scheme, which means the fluid is set in motion instead of the runner.
The simulation process can now be started.
The resulting 3D models is then meshed and simulated by using CFD software.
CFD simulation results show that hydraulic efficiency is only about 84-85% [3, 4].
Fig. 26 Mesh Analysis CFD Simulation CFD Simulation is carried on ANSYS Fluent [12] with SRF (Single Reference Frame) scheme, which means the fluid is set in motion instead of the runner.
The simulation process can now be started.
Online since: August 2010
Authors: Zhuo Wang, Shi Wei Zhang, Zhi Jun Zhang, Jin Ce Liu, Guang Zhe Song
China
a
shwzhang@mail.neu.edu.cn, b543018827@qq.com, c
zhuo3wang6@qq.com
d
liujince@126.com, ezhjzhang@mail.neu.edu.cn
Keywords: CFD, Vacuum Control Valve, Fluent Software, Flow Characteristics
Abstract.
During the simulation, the Fluent software of 6.3.26 version was used and the "Pressure based" solver was called.
All simulations were with steady flow under different pressure regions [9, 11, 12].
Simulation Results In simulation, the distribution of velocity, pressure, density and temperature of gas in the models were obtained.
Vasant, International Conference on Power Control and Optimization, Innovation in Power Control for OPtimal Industry.(2008)p.311 [9] Information on http://www.cfd-online.com [10] Fluent Inc., Fluent 6.3 User's Guide. (2006)
During the simulation, the Fluent software of 6.3.26 version was used and the "Pressure based" solver was called.
All simulations were with steady flow under different pressure regions [9, 11, 12].
Simulation Results In simulation, the distribution of velocity, pressure, density and temperature of gas in the models were obtained.
Vasant, International Conference on Power Control and Optimization, Innovation in Power Control for OPtimal Industry.(2008)p.311 [9] Information on http://www.cfd-online.com [10] Fluent Inc., Fluent 6.3 User's Guide. (2006)
Online since: August 2013
Authors: Ying Li, Chen Yan, Ying Ying Zhai, Bei Yue Ma
This paper reports a CFD modeling study on the optimization design for the shroud structure of a three-phase electroslag furnace using double electrode series technique by a commercial code FLUENT.
By numerical simulation using the CFD software FLUENT, the velocity, pressure, turbulence kinetic energy, turbulence dissipation rat and air volume fraction are obtained.
A quasi steady state, where the flow is 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 Gases in the furance: simulation parameters.
By numerical simulation using the CFD software FLUENT, the velocity, pressure, turbulence kinetic energy, turbulence dissipation rat and air volume fraction are obtained.
A quasi steady state, where the flow is 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 Gases in the furance: simulation parameters.
Online since: December 2012
Authors: Barnik Saha Roy, Arnab Samaddar Chaudhuri, Subhash Chandra Saha
In this paper, a standard CFD code, COMSOL is used to describe the 3-dimensional modeling of friction stir welding using threaded tool and based on fully sticking friction.
Among the several papers about fsw it is worth mentioning about those works based on numerical simulation[2] in relation with the process.
Nevertheless, none of the previously quoted papers contrast material flow simulation with experimental data.
The model was implemented using heat transfer &cfd module inComsol 4.1.Typically 19518 non-uniform tetrahedral grid elements were used which were fine near the tool and progressively coarser away from the tool shoulderperiphery as shown in figure 4.
DebRoy (2006) “Numerical simulation of three-dimensional heat transfer and plastic flow during friction stir welding,” Metallurgical & Materials Transactions A, 37A, pp. 1247–1259.
Among the several papers about fsw it is worth mentioning about those works based on numerical simulation[2] in relation with the process.
Nevertheless, none of the previously quoted papers contrast material flow simulation with experimental data.
The model was implemented using heat transfer &cfd module inComsol 4.1.Typically 19518 non-uniform tetrahedral grid elements were used which were fine near the tool and progressively coarser away from the tool shoulderperiphery as shown in figure 4.
DebRoy (2006) “Numerical simulation of three-dimensional heat transfer and plastic flow during friction stir welding,” Metallurgical & Materials Transactions A, 37A, pp. 1247–1259.
Online since: August 2011
Authors: Gang Jiang, Ke Feng Xiang, Xiu Jun Long, Xiang Wei Zeng
The simulation with CFD software Fluent and analysis for its internal temperature field was done, and then make a comparison between Shuttle-type high-temperature, high-pressure, anti-erosion special valve and swing check valve, and it can be concluded that the former doesn't exist local thermal stress concentration.
Simulation condition is DN200, PN20MPa, inlet temperature is 360 ℃, flow is 300m3 / h, fluid medium is water and steam.
Model of simplification Numerical simulation is implemented with CFD software Fluent.
Fig3, Fig4 and Fig5 show the results of simulation.
Temperature field distribution of 100% opening It can reach the flowing conclusions from the last simulation section.
Simulation condition is DN200, PN20MPa, inlet temperature is 360 ℃, flow is 300m3 / h, fluid medium is water and steam.
Model of simplification Numerical simulation is implemented with CFD software Fluent.
Fig3, Fig4 and Fig5 show the results of simulation.
Temperature field distribution of 100% opening It can reach the flowing conclusions from the last simulation section.