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Online since: August 2014
Authors: Vladimira Michalcova, Sergej Kuznetsov, Stanislav Pospíšil, Jiri Brozovsky
., Centrum Excellence Telč, Batelovská 485, 58 856 Telč, Czech Republic
avladimira.michalcova@vsb.cz, bkuznetsov@itam.cas.cz, cjiri. brozovsky@vsb.cz,
dpospisil@itam.cas.cz,
Keywords: aerodynamics, wind tunnel contraction, CFD
Abstract.
The DES models uses large vortexes in the centre of the flow pattern by direct simulation (LES method) and in the proximity of a wall, it uses the RANS method, in particular, it is SST k-w here.
Lausova, Experimental Measurement and Numerical Simulation of Dynamic Thermal Performance of External Timber Frame Wall.
The DES models uses large vortexes in the centre of the flow pattern by direct simulation (LES method) and in the proximity of a wall, it uses the RANS method, in particular, it is SST k-w here.
Lausova, Experimental Measurement and Numerical Simulation of Dynamic Thermal Performance of External Timber Frame Wall.
Online since: September 2013
Authors: Xing Liang
And simulation scheme and the corresponding values of boundary condition is showed in table1.
Flow pattern analysis.Fig3 shows the numerical simulation results of operation scheme 1.
Fig 6 shows the numerical simulation result of operation scheme 4.
References [1] Liu Chao, Han Xu, Zhou Jiren, et al, Numerical simulation of turbulent flow in forebay with side- intake of pumping station, Journal of Drainage and Irrigation Machinery.27(2009) 281-286 [2] Liu Xinyang, GaoChuanchang, Shi Liwen, et al, Numerical simulation for fluid meliorating in both forebay and suction bay of pumping stations, Journal of Drainage and Irrigation Machinery Engineering. 28(2010) 242-246
[3]Nakayam A., Isasue N, Large eddy simulation of vortex flow in intake channel of hydropower facility, Journal of Hydraulic Research, 48(2010) 415-427 [4] Bin Cheng, Yong-hai Yu, CFD simulation and optimization for lateral diversion and intake pumping stations, 2012 International Conference on Modern Hydraulic Engineering, 28 (2012) 122-127 [5]TangXue-lin, Wang Wu-chang, Wang Fu-jun.
Flow pattern analysis.Fig3 shows the numerical simulation results of operation scheme 1.
Fig 6 shows the numerical simulation result of operation scheme 4.
References [1] Liu Chao, Han Xu, Zhou Jiren, et al, Numerical simulation of turbulent flow in forebay with side- intake of pumping station, Journal of Drainage and Irrigation Machinery.27(2009) 281-286 [2] Liu Xinyang, GaoChuanchang, Shi Liwen, et al, Numerical simulation for fluid meliorating in both forebay and suction bay of pumping stations, Journal of Drainage and Irrigation Machinery Engineering. 28(2010) 242-246
[3]Nakayam A., Isasue N, Large eddy simulation of vortex flow in intake channel of hydropower facility, Journal of Hydraulic Research, 48(2010) 415-427 [4] Bin Cheng, Yong-hai Yu, CFD simulation and optimization for lateral diversion and intake pumping stations, 2012 International Conference on Modern Hydraulic Engineering, 28 (2012) 122-127 [5]TangXue-lin, Wang Wu-chang, Wang Fu-jun.
Online since: October 2013
Authors: Xu Tao Zhang, Song Ling Wang
Numerical Simulation of Smoke Movement in Vertical Shafts during a High-Rise Building Fire
Xutao Zhanga and Songling Wangb
Energy and Power Engineering School, North China Electric Power University, Baoding, China
a zhangxutao630@163.com, bwangsongling@163.com
Keywords: high-rise structure; numerical simulation; neutral pressure plane; stack effects.
Model Arrangements A CFD model developed by the NIST named FDS (Fire Dynamic Simulator) is used here to simulate the smoke movement of in the shafts during a building fire.
The door cracks are assumed to be the gaps of 0.1m width for the convenient of numerical simulation.
In FDS simulations, the shaft is divided into small cells, and the detailed field distributions are obtained, which agree with the real fire scenes.
In the simulation, the pressure value of the orifices of shaft is output, shown in Fig. 4.
Model Arrangements A CFD model developed by the NIST named FDS (Fire Dynamic Simulator) is used here to simulate the smoke movement of in the shafts during a building fire.
The door cracks are assumed to be the gaps of 0.1m width for the convenient of numerical simulation.
In FDS simulations, the shaft is divided into small cells, and the detailed field distributions are obtained, which agree with the real fire scenes.
In the simulation, the pressure value of the orifices of shaft is output, shown in Fig. 4.
Online since: October 2010
Authors: Wen Jiao, Hai Ming Huang
It is shown from both the
experiment and simulation results that the mechanics performance of blade materials is lower than
its national standard, which is due to much bigger gaps and some inclusions in the cast fan.
Firstly, we can get wind load force distribution of blades through the analysis on the flow of fans with computational fluid dynamics (CFD) software FLUENT.
Summate model response to get physical response: [ ]{ }ξφ=u ( 11) Simulation Results According to the experimental data, and meshing of the blade with PATRAN, which is divided into 826 tetrahedral elements, 1834 nodes, shown in Fig.3, we can find the former 100th natural frequency, natural modes and stress fringe by the means of NASTRAN, when blades are affected by wind loads and centrifugal force at the speed 980 r/min.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.553 [2] J.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.543 [10] K.W.
Firstly, we can get wind load force distribution of blades through the analysis on the flow of fans with computational fluid dynamics (CFD) software FLUENT.
Summate model response to get physical response: [ ]{ }ξφ=u ( 11) Simulation Results According to the experimental data, and meshing of the blade with PATRAN, which is divided into 826 tetrahedral elements, 1834 nodes, shown in Fig.3, we can find the former 100th natural frequency, natural modes and stress fringe by the means of NASTRAN, when blades are affected by wind loads and centrifugal force at the speed 980 r/min.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.553 [2] J.
Bai, et al: International Journal of Nonlinear Sciences and Numerical Simulation Vol.11, (2010), p.543 [10] K.W.
Online since: August 2013
Authors: Xiao Ling Zhang, Li Kun Zou
In this paper ,it describes the simulated annealing genetic algorithm ,and constructs the UMDH network model based on this algorithm, and the model is applied to the simulation of debris flow prediction research ,forecast average relative error reached 3. 54%.
Now GMDH network structure, SAGA-GMDH network structure on the debris flow out of a maximum amount of computer simulation.
Simulation predicted results, single-point relative error, the average relative error,Correlation coefficient, (N is the number of nodes prediction).
Prediction obtained by computer simulation results shown in Figure 3 and Figure 4.
Modeling and multi-objective optimization of cyclone separators using CFD and genetic algorithms[J].
Now GMDH network structure, SAGA-GMDH network structure on the debris flow out of a maximum amount of computer simulation.
Simulation predicted results, single-point relative error, the average relative error,Correlation coefficient, (N is the number of nodes prediction).
Prediction obtained by computer simulation results shown in Figure 3 and Figure 4.
Modeling and multi-objective optimization of cyclone separators using CFD and genetic algorithms[J].
Online since: January 2011
Authors: Xing Feng, Wan Qing Wu, Feng Li Zhang
The 2-D numerical wave flume, based on the Reynolds Averaged Navier-Stokes equations and the standardturbulence model, was developed to simulate the turbulent flows with the free surface, in which the volume of fluid (VOF) method was used to handle the large deformation of the free surface and the relaxation approach of combined wave generation and absorbing was implemented, utilizing the commercial CFD software-FLUENT.
To investigate the effect of wave height and wave period on initial failure velocity, various wave heights are chosen for the numerical simulation when the wave period: wave heights (), and when the wave height, the wave periods ().
[4] LU Yong-jin, LIU Hua, WU Wei, ZHANG Jiu-shan: Numerical Simulation of Two-Dimensional Overtopping against Seawalls Armored with Artificial Units in Regular Waves.
To investigate the effect of wave height and wave period on initial failure velocity, various wave heights are chosen for the numerical simulation when the wave period: wave heights (), and when the wave height, the wave periods ().
[4] LU Yong-jin, LIU Hua, WU Wei, ZHANG Jiu-shan: Numerical Simulation of Two-Dimensional Overtopping against Seawalls Armored with Artificial Units in Regular Waves.
Online since: November 2011
Authors: Xue Hui Gan, Qiang Liu, Xiao Jian Ma, Chun Hong Jia, Chong Chang Yang
According to the mathematical model, the melt flow velocity and pressure characteristic of the composite spinning micropore are researched with the software of CFD-Fluent.
Copet And Pet Spinning Melt Flow Simulation Based on Fluent According to the numerical analysis and calculation for melt flowing in the sheath-core orifices, velocity distribution is related with , and n.
The Fluent software simulation indicates: two kinds of melt bear the biggest pressure in the micropore entrance, then the pressure reduces gradually along the flow direction, and at the exit the pressure is the atmospheric pressure.
Copet And Pet Spinning Melt Flow Simulation Based on Fluent According to the numerical analysis and calculation for melt flowing in the sheath-core orifices, velocity distribution is related with , and n.
The Fluent software simulation indicates: two kinds of melt bear the biggest pressure in the micropore entrance, then the pressure reduces gradually along the flow direction, and at the exit the pressure is the atmospheric pressure.
Online since: November 2015
Authors: Daniela Popescu, Octavian Lalu, J. Dusica Pesic, Valeriu Panaitescu, Ion Anghel, Silviu Codescu
FDS is a popular computational fluid dynamics (CFD) tool in fire related researches [5].
The most important input variable to fire simulations is the evolution of heat release rate (HRR) with time [7].
The process was followed by a computerized simulation using PyroSim software (the graphic interface for FDS).
Anghel, Contribution on fire modelling and simulation through numerical method, doctoral thesis, Petroleum-Gas University of Ploieşti, 2009, pp. 10
Panaitescu, Modelling and simulation of ventilation in fire emergency situation, Computational Civil Engineering, 2008, Iaşi, pp. 421-429
The most important input variable to fire simulations is the evolution of heat release rate (HRR) with time [7].
The process was followed by a computerized simulation using PyroSim software (the graphic interface for FDS).
Anghel, Contribution on fire modelling and simulation through numerical method, doctoral thesis, Petroleum-Gas University of Ploieşti, 2009, pp. 10
Panaitescu, Modelling and simulation of ventilation in fire emergency situation, Computational Civil Engineering, 2008, Iaşi, pp. 421-429
Online since: December 2013
Authors: Qian Wang, Zhou Rong Zhang, Zhi Xia He, Li Ming Dai
As a study of natural gas engine, three-dimensional numerical simulations of diesel injection rates were conducted by using AVL FIRE code.
Zhang Jin. et al. [7] and Zhixia He et al. [8] studied the influence of different injection rate shapes on combustion process of direct injection diesel engines by using three-dimensional CFD software.
Physical Model and Grid The engine conditions used in simulations are provided in Table 1 and the fuel injection system parameters are showed in Table 2 [9].
The physical model and grid of the engine Simulation models For the above engine physical model, the diesel fuel engine was simulated firstly.
The simulation results of cylinder pressure were in good agreement with the experiment data, verifying the simulation models [10].
Zhang Jin. et al. [7] and Zhixia He et al. [8] studied the influence of different injection rate shapes on combustion process of direct injection diesel engines by using three-dimensional CFD software.
Physical Model and Grid The engine conditions used in simulations are provided in Table 1 and the fuel injection system parameters are showed in Table 2 [9].
The physical model and grid of the engine Simulation models For the above engine physical model, the diesel fuel engine was simulated firstly.
The simulation results of cylinder pressure were in good agreement with the experiment data, verifying the simulation models [10].
Online since: January 2014
Authors: Ming Li, Yong Yao, Lei Zhang
Study on Numerical Simulation of Internal Flow Fields in the New-type
Lei Zhang1, a, Ming Li2 and Yong Yao1
1Civil Engineering Department, Southwest University of Science and Technology, Mianyang, 621010, China
2China Aerodynamics Research and Development Center, Mianyang, 621000, China
azhyut21@163.com
Keywords: stack; spiral flow; numerical simulation; energy conservation.
Turbulent diffusion term: Turbulent buoyant items: Stress strain item: Viscous dissipation term: Numerical Simulation Physical Model and Mesh Generation.The simulation adopts straight angential inlet for the new-type stack whose main structure parameters are as follows: inner diameter of the top is 11.5 m; inner diameter of the bottom is 26.7 m; height is 240 m; there are two symmetrical entrance; flue gas entrance size is 5 m x 10 m, with elevation of 10 m.
(a) planform (B) planform oblique View Fig.1 The three-dimensional entity model of the new-type stack This paper uses mesh generation software, ICEM CFD, to preprocess and divide the entire computational domain into 460,000 non-uniform tetrahedral mesh.
This paper visually simulates the distribution of various physical quantities in each location through numerical simulation, as shown in Fig. 2-4 of fluid double spiral flow, velocity vector diagram of section z = 15m, and velocity vector diagram of longitudinal section (x = 0).
Numerical Simulation and Analysis of Cyclone Dust Collector's Gas-solid Two Phase Flow [J] Journal of Henan University of Science and Technology: Natural Science, Au4(2007),p.53-56 [6] Fujun Wang.
Turbulent diffusion term: Turbulent buoyant items: Stress strain item: Viscous dissipation term: Numerical Simulation Physical Model and Mesh Generation.The simulation adopts straight angential inlet for the new-type stack whose main structure parameters are as follows: inner diameter of the top is 11.5 m; inner diameter of the bottom is 26.7 m; height is 240 m; there are two symmetrical entrance; flue gas entrance size is 5 m x 10 m, with elevation of 10 m.
(a) planform (B) planform oblique View Fig.1 The three-dimensional entity model of the new-type stack This paper uses mesh generation software, ICEM CFD, to preprocess and divide the entire computational domain into 460,000 non-uniform tetrahedral mesh.
This paper visually simulates the distribution of various physical quantities in each location through numerical simulation, as shown in Fig. 2-4 of fluid double spiral flow, velocity vector diagram of section z = 15m, and velocity vector diagram of longitudinal section (x = 0).
Numerical Simulation and Analysis of Cyclone Dust Collector's Gas-solid Two Phase Flow [J] Journal of Henan University of Science and Technology: Natural Science, Au4(2007),p.53-56 [6] Fujun Wang.