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Online since: August 2015
Authors: H.S. Kadhim, G.A. Quadir, A.K. Farhan, U. Ryspek, K.A. Ismail
The For numerical simulation, commercially available computational fluid dynamic (CFD) softwares GAMBIT and FLUENT are used.
Computational fluid dynamics (CFD), as a promising technique in wind engineering research, has attracted growing interest in the past two decades.
Compared with the conventional experimental approaches, CFD could provide more details about flow field without any need for employing complicated control and measurement systems.
Rolland et al. [6] developed a CFD based computational model to analyse the aerodynamic performance of their novel designed vertical axis wind turbine (VAWT).
For numerical investigation, CFD software GAMBIT is used for meshing the geometry and specifying the boundary conditions, whereas ANSYS FLUENT 14.5 software is used to solve the Navier-Stokes equations.
Computational fluid dynamics (CFD), as a promising technique in wind engineering research, has attracted growing interest in the past two decades.
Compared with the conventional experimental approaches, CFD could provide more details about flow field without any need for employing complicated control and measurement systems.
Rolland et al. [6] developed a CFD based computational model to analyse the aerodynamic performance of their novel designed vertical axis wind turbine (VAWT).
For numerical investigation, CFD software GAMBIT is used for meshing the geometry and specifying the boundary conditions, whereas ANSYS FLUENT 14.5 software is used to solve the Navier-Stokes equations.
Online since: December 2013
Authors: Agoes Priyanto, Adi Maimun, Mohammad Mobassher Tofa, Saeed Jamei, Shuhaimi Mansor, Nor Azwadi
Computational fluid dynamics (CFD) was used for numerical study.
The simulations were done respect to different ground clearance and Reynolds number.
Two ground boundaries were used in the simulations, fixed ground and moving ground.
The fluent software was employed for CFD simulations.
Total wing span (b) [mm] 250 Root chord length (c) [mm] 200 Middle wing span (bm) 125 Taper ratio (c/ ct) 1.25 Anhedral angle (a) [°] 13 For the validation propose, the CFD simulation was compared with experimental data using the low speed wind tunnel at the Universiti Teknologi Malaysia.
The simulations were done respect to different ground clearance and Reynolds number.
Two ground boundaries were used in the simulations, fixed ground and moving ground.
The fluent software was employed for CFD simulations.
Total wing span (b) [mm] 250 Root chord length (c) [mm] 200 Middle wing span (bm) 125 Taper ratio (c/ ct) 1.25 Anhedral angle (a) [°] 13 For the validation propose, the CFD simulation was compared with experimental data using the low speed wind tunnel at the Universiti Teknologi Malaysia.
Online since: July 2014
Authors: Hai Bo Huang, Shao Fang Xu, Chen Wang
In this paper, the vehicle driving characteristics are investigated under different Force level of gust wind based on the CFD theory.
Some simulations were done based on CFD software and the force inspired by gust wind looks on as the dynamic boundary conditions.
A simplified vehicle model is adopted in the simulation.
The simulation is investigated by using finite element commercial code, Fluent.
CFD study of Changan automobile aerodynamics performance[J].
Some simulations were done based on CFD software and the force inspired by gust wind looks on as the dynamic boundary conditions.
A simplified vehicle model is adopted in the simulation.
The simulation is investigated by using finite element commercial code, Fluent.
CFD study of Changan automobile aerodynamics performance[J].
Online since: January 2007
Authors: Jun Wang, X.Y. Lu, Rong Guo Hou, Hong Tao Zhu, Chuan Zhen Huang
Three-dimensional Simulation of Liquid-solid Two-phase Flow Inside the
Abrasive Water Jet Nozzle
C.
Three dimensional simulation of the velocity field of solid-liquid two-phase flow inside the abrasive water jet nozzle was studied by the computational fluid dynamics software (CFD).
The study on the two-dimensional simulation for the velocity field of gas-liquid and solid-liquid two-phase flow inside and outside the abrasive water jet nozzle have been carried out by using CFD software [13, 14].
Therefore, the present work attempts to obtain the two-phase flow velocity field inside the abrasive water jet nozzle, and the velocity and vectorgraph distribution of the abrasive phase and the water phase in the whole flow field in the nozzle by means of 3D CFD simulation.
Fig.1 3D model of abrasive water jet nozzle Fig. 2 Velocity field vectorgraph in 3D nozzle Simulation Results and Discussion The simulation result of velocity field vectorgraph in 3D nozzle is shown in Fig. 2.
Three dimensional simulation of the velocity field of solid-liquid two-phase flow inside the abrasive water jet nozzle was studied by the computational fluid dynamics software (CFD).
The study on the two-dimensional simulation for the velocity field of gas-liquid and solid-liquid two-phase flow inside and outside the abrasive water jet nozzle have been carried out by using CFD software [13, 14].
Therefore, the present work attempts to obtain the two-phase flow velocity field inside the abrasive water jet nozzle, and the velocity and vectorgraph distribution of the abrasive phase and the water phase in the whole flow field in the nozzle by means of 3D CFD simulation.
Fig.1 3D model of abrasive water jet nozzle Fig. 2 Velocity field vectorgraph in 3D nozzle Simulation Results and Discussion The simulation result of velocity field vectorgraph in 3D nozzle is shown in Fig. 2.
Online since: October 2014
Authors: Hong Zhong Qi
Analysis on thermal and flow field of four-wheel drive EV controller
Qi-Hongzhong
1015 room of Administrative building, longteng road 333,
Shanghai University of Engineering Science, Songjiang District, Shanghai, China
qihongzhong@sina.com
Keywords: Electrical vehicle controller, flow field, thermal field, simulation
Abstract: Electrical vehicle (hereafter EV) controller has proper function under the circumstances of interval thermal field due to controller sensitivity; therefore flow field and thermal field are key performance of controller application.
Methodology is discussed; optimal flow field and thermal field are determined by use CFD simulation, battery frame material is confirmed as well.
Method of flow field and thermal field control is applied in below content, which make it realized by CFD simulation method at the beginning of structure and layout design stage.
Fig. 6 Temperature distribution of components (aluminum) Fig. 7 Temperature distribution of components (aluminum) Summary Flow field and thermal field can be predicted by theory of heat transmission and fluid mechanics with CFD software.
Uniform thermal field is possible for complex controller container design with CFD method.
Methodology is discussed; optimal flow field and thermal field are determined by use CFD simulation, battery frame material is confirmed as well.
Method of flow field and thermal field control is applied in below content, which make it realized by CFD simulation method at the beginning of structure and layout design stage.
Fig. 6 Temperature distribution of components (aluminum) Fig. 7 Temperature distribution of components (aluminum) Summary Flow field and thermal field can be predicted by theory of heat transmission and fluid mechanics with CFD software.
Uniform thermal field is possible for complex controller container design with CFD method.
Online since: October 2011
Authors: Hui Yuan Li, Ming Xu, Chao Wu
Using CFD technology, the ameliorative hydraulic retarder is studied contrastively, and the results are in good agreement with the experiment.
At present, the algorithm of SIMPLE series are still applied widely in CFD numerical simulation, which consist of SIMPLE, SIMPLEC SIMPLER and PISO[3].
From analysis results above wan can see that the most relative error of simulation results and experiments is 10.2%, the CFD simulation results agree well with the experimental results.
The CFD simulation results agree well with the experimental results, which also can be used for the design and optimization of the hydraulic retarder.
FLUNT-Hydrodynamics Engineering Simulation Calculation Instance and Application, (Beijing Institute of Technology Press, Beijing, 2004), in Chinese
At present, the algorithm of SIMPLE series are still applied widely in CFD numerical simulation, which consist of SIMPLE, SIMPLEC SIMPLER and PISO[3].
From analysis results above wan can see that the most relative error of simulation results and experiments is 10.2%, the CFD simulation results agree well with the experimental results.
The CFD simulation results agree well with the experimental results, which also can be used for the design and optimization of the hydraulic retarder.
FLUNT-Hydrodynamics Engineering Simulation Calculation Instance and Application, (Beijing Institute of Technology Press, Beijing, 2004), in Chinese
Online since: September 2013
Authors: Mohd Mustafa Al Bakri Abdullah, M. Mazlan, A. Rahim, M.A. Iqbal, W. Razak, M.S. Salim
Description of Model using in simulation
The model used in this simulation consists of a wind tunnel which encompasses the whole computational domain with a motherboard and several 84 lead PLCC on top of the motherboard but not attached on it.
The isometric view, plan view, and front view of the simulation setup for 4 PLCC packages are shown in Figure 1.
A combined model is combination between PLCC packages and motherboard that have been used during the simulation.
It is tolerable as slight difference in shape may not affect the simulation result.
Seetharamu, Application of CFD in Cooling Electronic Packages, The Seventh Asian Congress of Fluid Mechanics, pp 777-780, December 1997
The isometric view, plan view, and front view of the simulation setup for 4 PLCC packages are shown in Figure 1.
A combined model is combination between PLCC packages and motherboard that have been used during the simulation.
It is tolerable as slight difference in shape may not affect the simulation result.
Seetharamu, Application of CFD in Cooling Electronic Packages, The Seventh Asian Congress of Fluid Mechanics, pp 777-780, December 1997
Online since: October 2010
Authors: Harald Harmuth, Sandra Vollmann
Investigation of Refractory Corrosion of a Gas-stirred Steel Ladle by Simulation
Sandra VOLLMANNa, Harald HARMUTHb
University of Leoben, Chair of Ceramics, Peter-Tunner-Strasse 5, 8720 Leoben, Austria
asandra.vollmann@unileoben.ac.at, bharald.harmuth@unileoben.ac.at
Keywords: mass transfer coefficient, corrosion, refractory, CFD
Abstract.
Suitable values of Γ, П, Re and Sc are given by the input data for the simulations.
From the mass transfer coefficient resultant from the simulation Sherwood number was calculated.
Fig. 4 – Simulation model Detailed model settings are outlined elsewhere [6].
Harmuth: Investigation of slag corrosion by CFD calculations, 3rd International Conference on Simulation and Modelling of Metallurgical Processes in Steelmaking SteelSim 2009, Leoben, Austria (2009)
Suitable values of Γ, П, Re and Sc are given by the input data for the simulations.
From the mass transfer coefficient resultant from the simulation Sherwood number was calculated.
Fig. 4 – Simulation model Detailed model settings are outlined elsewhere [6].
Harmuth: Investigation of slag corrosion by CFD calculations, 3rd International Conference on Simulation and Modelling of Metallurgical Processes in Steelmaking SteelSim 2009, Leoben, Austria (2009)
Online since: September 2014
Authors: Wei Guo Zhang, Jahanzeb Rajput, Xiao Bo Qu
The CFD simulation results are presented in support of this concept.
The CFD simulations are run at a freestream velocity of 25 m/s, corresponding to Reynolds number of 1.06×106.
A view of the CFD simulation is shown in Fig. 2 and additional details of aircraft geometry are listed in Table 1.
In the first phase, CFD simulation is run by considering single drag-rudder at a time.
Fig.2 CFD simulation of flying-wing aircraft model with proposed drag-rudder configuration.
The CFD simulations are run at a freestream velocity of 25 m/s, corresponding to Reynolds number of 1.06×106.
A view of the CFD simulation is shown in Fig. 2 and additional details of aircraft geometry are listed in Table 1.
In the first phase, CFD simulation is run by considering single drag-rudder at a time.
Fig.2 CFD simulation of flying-wing aircraft model with proposed drag-rudder configuration.
Online since: October 2013
Authors: Bing Xi Li, Ya Ning Zhang, Lu Dong, Xiao Yan Gao
CFD Modeling of an Entrained Flow Gasifier
Xiaoyan Gao1, a, Yaning Zhang1, b *, Bingxi Li1, c * and Lu Dong1, d
1School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, China
a12B902008@hit.edu.cn, b*hitzhangyaning@gmail.com, c*libx@hit.edu.cn, d282516549@qq.com
Keywords: CFD model; entrained flow gasifier; Fluent; sawdust
Abstract.
A 2 D CFD model was established to simulate sawdust gasification in an entrained flow gasifier using Ansys Fluent software.
Appropriate modeling and simulation can obtain various parameters for complicated processes and systems with high accuracies, and is helpful for optimizing the designs and operations, thereby saving manpower, time and financial costs greatly [2-3].
On the whole, the simulation results were in agreement with the experiment results.
A 2 D CFD model was established to simulate sawdust gasification in an entrained flow gasifier using Ansys Fluent software.
Appropriate modeling and simulation can obtain various parameters for complicated processes and systems with high accuracies, and is helpful for optimizing the designs and operations, thereby saving manpower, time and financial costs greatly [2-3].
On the whole, the simulation results were in agreement with the experiment results.