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Online since: March 2025
Authors: Sandra Mayang Dika Ridwan, Muhammad Ihsan Mukrim, Nasaruddin Salam, Rustan Tarakka
Lu, Numerical simulation on solid-liquid two-phase flow in cross fractures, Chem.
Kumar, Investigation on Pressure Drop of Fluid-Solid Mixture Flow through Pipes Using CFD and SK Model, J.
Wang, Investigation on the Erosion Characteristics of Liquid–Solid Two-Phase Flow in Tee Pipes Based on CFD-DEM, J.
Prasad, Simulations of water flow in a horizontal and 900 pipe bend, Mater.
Mohapatra, Simulation and optimization of coal-water slurry suspension flow through 90 pipe bend using CFD, International Journal of Coal Preparation and Utilization, 41 (2021).
Kumar, Investigation on Pressure Drop of Fluid-Solid Mixture Flow through Pipes Using CFD and SK Model, J.
Wang, Investigation on the Erosion Characteristics of Liquid–Solid Two-Phase Flow in Tee Pipes Based on CFD-DEM, J.
Prasad, Simulations of water flow in a horizontal and 900 pipe bend, Mater.
Mohapatra, Simulation and optimization of coal-water slurry suspension flow through 90 pipe bend using CFD, International Journal of Coal Preparation and Utilization, 41 (2021).
Online since: September 2013
Authors: Dong Xu Liu, Shou Chao Gu, Yu Fu Wang
Study of airship stability based on a low resistance profile
Shouchao Gu1, a, Dongxu Liu2,b and Yufu Wang3,c
1 School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
agushouchao_buaa@163.com, bliubuaa@163.com, c justin-psp@163.com
Keywords: Stratosphere airship; CFD; Tail layout; Stability analysis
Abstract.
Numerical simulation was conducted to investigate the external flow around airships with different tail layout, with the help of FLUENT 14.5, based on the incompressible Navier-Stokes equation and SST turbulent model.
Fig 1 Airships with different tail forms Numerical Simulation Method Governing equation.
Numerical simulation was conducted to investigate the external flow around airships with different tail layout, with the help of FLUENT 14.5, based on the incompressible Navier-Stokes equation and SST turbulent model.
Fig 1 Airships with different tail forms Numerical Simulation Method Governing equation.
Online since: October 2014
Authors: Dong Long Lin, Zhao Pang, Ke Xin Zhang, Shuang You
The precision of simulation is related to model’s accuracy.
The simulation of static pressure around each cross-section in the same time is shown in Fig. 8.
Numerical simulation review of blade of wind turbine.Electrical Technology,2010,07:7-11+18
[2] Sezer-Uzol N,Long L,3-D time-accurate CFD simulations of wind turbine rotor flow fields.
[4] Bazilevs Y,Hsu M-C,Kiendl J,Wüchner R,Bletzinger K-U. 3D simulation of wind turbine rotors at full scale.
The simulation of static pressure around each cross-section in the same time is shown in Fig. 8.
Numerical simulation review of blade of wind turbine.Electrical Technology,2010,07:7-11+18
[2] Sezer-Uzol N,Long L,3-D time-accurate CFD simulations of wind turbine rotor flow fields.
[4] Bazilevs Y,Hsu M-C,Kiendl J,Wüchner R,Bletzinger K-U. 3D simulation of wind turbine rotors at full scale.
Online since: January 2014
Authors: Chu Wen Guo, Wei Zhao
Furthermore, the relationship between the system pressure and the abrasive volume fraction has been investigated by a numerical simulation.
The present numerical simulation was carried out using Eulerian multiphase model and Standard k-epsilon model which are embedded in FLUENT software [8,9].
In the present numerical simulation, water is treated as primary phase and abrasive (garnet) as secondary phase.
Fig. 5 Static pressure in the flow field Fig. 6 Comparison of the system pressure equation and the pressure values with CFD results Fig. 5 shows static pressure in the flow field of the nozzle with different volume fractions of abrasive under the same inlet boundary condition that volume-flow-rate is 4.4L/min.
In this figure, the pressure values with CFD results were shown as the star symbols, at a volume fraction of 5%, 10%, 15%, 20%, 25% and 30%.
The present numerical simulation was carried out using Eulerian multiphase model and Standard k-epsilon model which are embedded in FLUENT software [8,9].
In the present numerical simulation, water is treated as primary phase and abrasive (garnet) as secondary phase.
Fig. 5 Static pressure in the flow field Fig. 6 Comparison of the system pressure equation and the pressure values with CFD results Fig. 5 shows static pressure in the flow field of the nozzle with different volume fractions of abrasive under the same inlet boundary condition that volume-flow-rate is 4.4L/min.
In this figure, the pressure values with CFD results were shown as the star symbols, at a volume fraction of 5%, 10%, 15%, 20%, 25% and 30%.
Online since: October 2010
Authors: Yong Feng Li, Xian Rong Qin, Qing Zhang, Ji He, Jian Jie Zhang
To deal with wind and wave load, a clue is to deal with it
as a fluid dynamic problem, in which a Computational Fluid Dynamic (CFD) model is applied to
discrete problem[1,2].
Computational Fluid Dynamics, Theory and Application of CFD Software.
Dynamic Response Simulation of Lifting Load System of Ship-mounted Cranes.
Journal of System Simulation, 2007, 39(12): 145~150
Simulation of stochastic process by spectral representation.
Computational Fluid Dynamics, Theory and Application of CFD Software.
Dynamic Response Simulation of Lifting Load System of Ship-mounted Cranes.
Journal of System Simulation, 2007, 39(12): 145~150
Simulation of stochastic process by spectral representation.
Online since: December 2012
Authors: Shi Gang Wang, Xian Feng Du, Dong Sheng Li, Qing Ming Hu
In 2002, Wang Changrui calculated the temperature field of new hydrostatic bearing based on the CFD theory by using four-node isoparametric element method, and finally verified the experiment on the reversible hydrodynamic thrust bearing experimental platform [3].
The oil film performance affected by the geometry characteristic of round chamber and viscosity change caused by viscosity, viscosity-temperature and viscosity-pressure was studied by modeling mathematical model in order to simulate the three-dimension flow in hydrostatic rotational platform and selecting laminar model, base on CFD theory, and contrasted the performance difference between newtonian fluid and non-newtonian fluid [6].
(a) The base model (b) The equipment model (c) The simulatonal model (d) The oil pad model Fig.2 The whole model of the simulation experiments Meshing of Hydrostatic Bearing Model The finite element software GAMBIT is used to generate the simulational mesh of hydrostatic mesh.
Fig.8 Relationship between rotational speed and highest temperature Conclusions (1) In this simulation experiment, finite element software FLUENT6.3 is used to obtain the temperature field of the oil pad with the software GAMBIT meshing, which is almost hard to get by real instrument for the tiny depth of the oil film.
(2) The data obtained in this simulation is almost same as that gotten by temperature sensors, which contributes to the layout of the heat transfers of the hydrostatic bearing with heat transfers.
The oil film performance affected by the geometry characteristic of round chamber and viscosity change caused by viscosity, viscosity-temperature and viscosity-pressure was studied by modeling mathematical model in order to simulate the three-dimension flow in hydrostatic rotational platform and selecting laminar model, base on CFD theory, and contrasted the performance difference between newtonian fluid and non-newtonian fluid [6].
(a) The base model (b) The equipment model (c) The simulatonal model (d) The oil pad model Fig.2 The whole model of the simulation experiments Meshing of Hydrostatic Bearing Model The finite element software GAMBIT is used to generate the simulational mesh of hydrostatic mesh.
Fig.8 Relationship between rotational speed and highest temperature Conclusions (1) In this simulation experiment, finite element software FLUENT6.3 is used to obtain the temperature field of the oil pad with the software GAMBIT meshing, which is almost hard to get by real instrument for the tiny depth of the oil film.
(2) The data obtained in this simulation is almost same as that gotten by temperature sensors, which contributes to the layout of the heat transfers of the hydrostatic bearing with heat transfers.
Online since: October 2013
Authors: Shan Ling Han, Ru Xing Yu, Yu Yue Wang, Zhi Yong Li
Turbulence model can be divided into the direct numerical simulation(DNS), reynolds average method(RANS)and large eddy simulation (LES).
Simulation Models and Conditions Choice of the Model.
The simulation result error of WALE model is the largest.
An efficient very large eddy simulation model for simulation of turbulent flow.
CFD Let. 3(2011) 32-39
Simulation Models and Conditions Choice of the Model.
The simulation result error of WALE model is the largest.
An efficient very large eddy simulation model for simulation of turbulent flow.
CFD Let. 3(2011) 32-39
Online since: January 2013
Authors: Hai Li Liu, Feng Quan Zhang, Li Li Guo, Liu Qing Xu
Grids are divided to guarantee the simulation accuracy.
Therefore, we design an new internal-mixing nozzle for the icing experiment, and present a numerical simulation method based on the CFD software FLUENT.
Fields simulation setting.
Inner flow field simulation results and analysis.
External flow field simulation results and analysis.
Therefore, we design an new internal-mixing nozzle for the icing experiment, and present a numerical simulation method based on the CFD software FLUENT.
Fields simulation setting.
Inner flow field simulation results and analysis.
External flow field simulation results and analysis.
Online since: May 2012
Authors: Lih Shyng Shyu, Chi Ching Chang, Da Yung Wang, Ching Hai Lee, Yung Chia Hsiao, Ta Ming Shih
The CFD analysis was performed using 3- and 5- blades.
Figure 3 shows the CFD flow field of 5- blade’s.
Fig.1 MDU’s 2kW Fig. 2 A photograph of Fig. 3 The 5- blades CFD VAWT the 4kW VAWT speed-flow analysis Fig. 4 Blades system performance Fig. 5 Vertical blade’s master model (Power Efficiency vs Peak-Speed Ratio) Fig. 6 π-shape blades Fig. 7 The completion of blade system Generator rotator poles design The electricity generator rotator poles relates to rated of rotator rotation, and are represented using the following formula [4]: (1) After finishing the rotator design, the number of slots are designed which are related to the poles, phase number and wires winding method.
Table 6 is the simulation of displacement.
Figure 3 shows the CFD flow field of 5- blade’s.
Fig.1 MDU’s 2kW Fig. 2 A photograph of Fig. 3 The 5- blades CFD VAWT the 4kW VAWT speed-flow analysis Fig. 4 Blades system performance Fig. 5 Vertical blade’s master model (Power Efficiency vs Peak-Speed Ratio) Fig. 6 π-shape blades Fig. 7 The completion of blade system Generator rotator poles design The electricity generator rotator poles relates to rated of rotator rotation, and are represented using the following formula [4]: (1) After finishing the rotator design, the number of slots are designed which are related to the poles, phase number and wires winding method.
Table 6 is the simulation of displacement.
Online since: February 2026
Authors: Intan Mahardika, Zener Sukra Lie, Immanuel Johanes Aditya
The design was analyzed using Computational Fluid Dynamics (CFD) software simulation, while the prototype was tested on a flow bench.
Autodesk Fusion 360 software is used to design the CAI prototype, while CFD software helps to understand the airflow phenomena for analysis.
The purpose of testing the design in CFD software is to understand the airflow phenomena occurring in the design.
Autodesk Fusion 360 software is used to design the CAI prototype, while CFD software helps to understand the airflow phenomena for analysis.
The purpose of testing the design in CFD software is to understand the airflow phenomena occurring in the design.