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Online since: October 2011
Authors: Qing Lin Meng, Jin Li, Lei Zhang
From the surface wind pressure distribution map of the Main Stadium generated through CFD simulation, one can see a differential pressure of 3Pa is formed between the south and east of windward side and the north of leeward side under prevailing wind direction in Guangzhou to serve as sufficient drive for indoor natural ventilation [6, 7].
Fig.1 Wind press distribution of outer surface In air outlet and inlet design, surface wind pressure simulation of the building shows that open air windows can be installed in the south façade and the roof within the positive wind pressure area to lead in the wind [8, 9].
The simulation of direct light distribution with or without vertical sun-shading boards via lighting analysis software is shown in Figure 6, from which one can perceive that direct solar radiation is nearly blocked out [10].
With the test result basically in line with simulation result of natural ventilation in Main Stadium, it shows that traditional sunken stadiums prone to form “Basin Effect” in the playing field, causing poor ventilation and inability to effectively use natural ventilation to improve thermal comfort.
Fig.1 Wind press distribution of outer surface In air outlet and inlet design, surface wind pressure simulation of the building shows that open air windows can be installed in the south façade and the roof within the positive wind pressure area to lead in the wind [8, 9].
The simulation of direct light distribution with or without vertical sun-shading boards via lighting analysis software is shown in Figure 6, from which one can perceive that direct solar radiation is nearly blocked out [10].
With the test result basically in line with simulation result of natural ventilation in Main Stadium, it shows that traditional sunken stadiums prone to form “Basin Effect” in the playing field, causing poor ventilation and inability to effectively use natural ventilation to improve thermal comfort.
Online since: October 2011
Authors: Ya Xin Su, Wen Hui Wang
The simulation was performed at inlet air oxygen fraction 8% and the total air excess ratio 1.1 for natural gas.
The commercial CFD code FLUENT6.3 was used to carry out the calculation.
The commercial CFD code FLUENT6.3 was used to carry out the calculation.
Online since: February 2012
Authors: Da Lei Li, Yue Feng Yin, Guang Fei Chen, Chao Cui, Bo Han
Comparing the simulation results with the real situation, it is proved that the finite element model is reasonable and the solving conditions are accurate.
The heat transfer conditions of the inner wall of the exhaust manifold bases on the calculated results of CFD software, which are shown in Fig. 3.
The heat transfer conditions of the inner wall of the exhaust manifold bases on the calculated results of CFD software, which are shown in Fig. 3.
Online since: October 2010
Authors: Hao Bo He, Xue Liu, Bo He, Wan Sheng Nie, Song Jiang Feng
Investigation of the Evaporation Processes of Gel Propellant Droplets
Songjiang Feng1,a, Haobo He1,b, Xue Liu1,c, Bo He1,d and Wansheng Nie1,e
1The Academy of Equipment Command & Technology, Beijing, 101416, China
ahnfengsj@163.com, bABHHB@163.com, cliuxue00112002@gmail.com, dhebo_85@163.com, enws69@126.com
Keywords: Gel propellant, Evaporation Model, Numerical Simulation, Experiment
Abstract.
The numerical solutions were obtained using the research CFD code developed at Propulsion Theory & Technique Laboratory (PTTL) [7].
Fig. 6 Evaporation process of a 1.0 mm droplet Fig. 7 Evaporation process of a 2.5mm droplet Conclusions The evaporation processes of gel droplets are studied by way of numerical simulation and experiment.
The numerical solutions were obtained using the research CFD code developed at Propulsion Theory & Technique Laboratory (PTTL) [7].
Fig. 6 Evaporation process of a 1.0 mm droplet Fig. 7 Evaporation process of a 2.5mm droplet Conclusions The evaporation processes of gel droplets are studied by way of numerical simulation and experiment.
Online since: July 2021
Authors: Mohammed Q. Kareem, Khaled Al-Farhany, Zainab Kareem Ghoben
The novel aspect in the context of the present work is to simulate the heat reduction through the solidification of a cylindrical Aluminum cast inside a Steel mould by using Computational Fluid Dynamics (CFD).
The CFD solving process including the buildup of the geometry, generating the mesh, setting the physical model and the solution have been made by ANSYS FLUENT software.
Barot, Casting simulation and defect identification of geometry varied plates with experimental validation, Materials Today: Proceedings, (2020)
Kong Ling, A sharp-interface model coupling VOSET and IBM for simulations on melting and solidification, Computers and Fluids, (2018)
BENCOMO, BISBAL, R., MORALES, R., Simulation of the aluminum alloy A356 solidification cast in cylindrical permanent moulds, revista materia, (2008).
The CFD solving process including the buildup of the geometry, generating the mesh, setting the physical model and the solution have been made by ANSYS FLUENT software.
Barot, Casting simulation and defect identification of geometry varied plates with experimental validation, Materials Today: Proceedings, (2020)
Kong Ling, A sharp-interface model coupling VOSET and IBM for simulations on melting and solidification, Computers and Fluids, (2018)
BENCOMO, BISBAL, R., MORALES, R., Simulation of the aluminum alloy A356 solidification cast in cylindrical permanent moulds, revista materia, (2008).
Online since: October 2011
Authors: G. Bandhyopadhyay, Deepesh Kumar Singh
Rodi, On the simulation of turbulent flow past bluff bodies.
Mochida, On turbulent vortex shedding flow past a square cylinder predicted by CFD.
Ferziger, Large Eddy Simulation, in: Simulation and Modeling of Turbulent Flows.
Breuer and M Pourquie, Large Eddy Simulation of Complex Turbulent Flows of Practical Interest, in: Flow Simulation with High-Performance Computers II.
Moin, Numerical Simulation of Turbulent Flows.
Mochida, On turbulent vortex shedding flow past a square cylinder predicted by CFD.
Ferziger, Large Eddy Simulation, in: Simulation and Modeling of Turbulent Flows.
Breuer and M Pourquie, Large Eddy Simulation of Complex Turbulent Flows of Practical Interest, in: Flow Simulation with High-Performance Computers II.
Moin, Numerical Simulation of Turbulent Flows.
Online since: January 2012
Authors: Zhen Yu Du, Yi Xing Zhang
The simulation are based on assumption that whole soil is uniform in constant physical properties, and the influence of water shifting in the soil on the heat transfer and convalescence periods between the cooling and heating periods are ignored.
Computational fluid dynamics analysis-CFD software theory and application [M], Beijing: Tsinghua University Press, 2004
Computational fluid dynamics analysis-CFD software theory and application [M], Beijing: Tsinghua University Press, 2004
Online since: April 2011
Authors: Yan Min Xie
In the direction of diagonal line, the distribution of thickness strain are illustrated in Fig. 4, which show a good agreement of simulation with reported experiment results in [13].
The application of the CFD and Kriging method to an optimization of heat sink.
The application of the CFD and Kriging method to an optimization of heat sink.
Online since: July 2018
Authors: D.V. Gorlenkov, I.V. Gorlenkova, I.I. Beloglazov, V.Yu. Timofeev
Simulation of Roasting Metallurgical Concentrates in Fluidized Bed Using CFD-DEM.
Online since: December 2014
Authors: Ben Liang Yu, Fan Guo Meng, Jun Fei Wu, Zhi Li
In this paper,CFD was applied to analyze the Impacts of screw speed on all-metal screw pump.
1 The Establishment of All-metal Single Screw Pump's FEM
1.1 Creating Geometric Model
The model number GLB160-10 screw pump was taken for example in this paper.
But the well daily oil production is changing, now the screw speed is choosing according to two method as follows, one is IPR curve, the other one is regular annular measurement or the pressure signal measurement of the well bottom which can measure the liquid level accurately[6,7]. 3 The Result of Simulation under Different Screw Speed Contour graphs of pressure differential between every stage is shown in Fig.4.
But the well daily oil production is changing, now the screw speed is choosing according to two method as follows, one is IPR curve, the other one is regular annular measurement or the pressure signal measurement of the well bottom which can measure the liquid level accurately[6,7]. 3 The Result of Simulation under Different Screw Speed Contour graphs of pressure differential between every stage is shown in Fig.4.