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Online since: December 2013
Authors: Ce Yang, Yi Xiong Liu, Da Zhong Lao, Yin Hong Liu, Chao Chen Ma
Spalart-Allmaras turbulence model was used in the present simulation.To speed up the convergence, a full multigrid technique was applied.
Due to the limitation of the experiment conditions, test data is only available in a much narrower range compared to the CFD result.
The difference is maily due to volute isn't included in the simulation model and loss efficiency in volute is ignored.
Temperature distribution and pressure loading were obtained from steady CFD analysis by transferring the data from CFD domain to FEA domain.The results show that centrifugal force caused by turbine rotation had significant impact on wheel's natural frequency.
[7] Simulation of the Effects of Shock Wave Passing on a Turbine Rotor Blade[J].
Due to the limitation of the experiment conditions, test data is only available in a much narrower range compared to the CFD result.
The difference is maily due to volute isn't included in the simulation model and loss efficiency in volute is ignored.
Temperature distribution and pressure loading were obtained from steady CFD analysis by transferring the data from CFD domain to FEA domain.The results show that centrifugal force caused by turbine rotation had significant impact on wheel's natural frequency.
[7] Simulation of the Effects of Shock Wave Passing on a Turbine Rotor Blade[J].
Online since: April 2010
Authors: Frank A. Coutelieris, E. Vakouftsi, G. Marnellos, C. Athanasiou
A new mesoscopic mathematical model has been developed
through the relative differential equations along with the appropriate boundary conditions, which
have been numerically integrated by using the commercially available software CFD-ACE+, in
order to calculate the electricity produced by the fuel cell.
In the present work, the electrochemical oxidation of both H2 and CO is considered, on contrary to the majority of SOFC simulation works where the contribution of CO is neglected [8].
Simulations The numerical solution for the equations previously described was obtained by using the commercial package CFD-ACE+ by ESI-Group©, which is based on the finite volume method, in order to achieve residual values for all the quantities less than 10-4.
The simulation results seem to follow a practically linear fit, which actually corresponds to the relationship between % mol CH4 and I, thus the slope of this line represents a quantitative indicator of the cell's efficiency.
The above model has been numerically integrated by using the commercially available software CFD-ACE+, and it is found that found that current density increases with the methane concentration in the fuel supply.
In the present work, the electrochemical oxidation of both H2 and CO is considered, on contrary to the majority of SOFC simulation works where the contribution of CO is neglected [8].
Simulations The numerical solution for the equations previously described was obtained by using the commercial package CFD-ACE+ by ESI-Group©, which is based on the finite volume method, in order to achieve residual values for all the quantities less than 10-4.
The simulation results seem to follow a practically linear fit, which actually corresponds to the relationship between % mol CH4 and I, thus the slope of this line represents a quantitative indicator of the cell's efficiency.
The above model has been numerically integrated by using the commercially available software CFD-ACE+, and it is found that found that current density increases with the methane concentration in the fuel supply.
Numerical Modeling of the Flow and Pollutant Dispersion in Street Canyons with Ground Thermal Effect
Online since: April 2014
Authors: Jia Ping Liu, Ning Bo Zhang, Yan Ming Kang, Ke Zhong
A three-dimensional CFD model is applied to simulate the flow patterns and particle concentrations in a street canyon under different aspect ratios and ground thermal conditions.
Numerical Simulation Procedure Computational Domains, Grids and Solution Method.
The resulting unstructured grid number of 2,700,000 is used for all the simulations.
The three-dimensional Navier - Stokes equations and the continuity equation are solved using the commercial CFD code Fluent 6.3.2.
Wong, et al.: Building Simulation Vol. 5 (2012), p. 359 [16] R.
Numerical Simulation Procedure Computational Domains, Grids and Solution Method.
The resulting unstructured grid number of 2,700,000 is used for all the simulations.
The three-dimensional Navier - Stokes equations and the continuity equation are solved using the commercial CFD code Fluent 6.3.2.
Wong, et al.: Building Simulation Vol. 5 (2012), p. 359 [16] R.
Online since: March 2018
Authors: Dragos Laurentiu Popa, George Gherghina, Dragoș Tutunea, Alexandru Dima
In this paper we evaluate the evolution of 3D-CAD based development processes based on geometry generation, conceptual design and simulations tools.
Kinematic simulation requires knowledge about position, contact surfaces and the type of connection used while FE simulations require the precise connection of each component and external conditions [10].
The current strategies include the integration of standalone simulation software in packages of software which include CAE and CFD.
Fig. 5 CAD model of a front wing race car (Inclination angle of 115° of the main wing) The CFD simulations was done on a basis of a epsilon standard wall function turbulence model combining various meshing strategies to determine the effect of the grid on the convergence of iterative calculations [13].
CFD usage allows the precise simulation of various condition of speed by producing flow fields and surface data that are difficult to obtain from real experiments.
Kinematic simulation requires knowledge about position, contact surfaces and the type of connection used while FE simulations require the precise connection of each component and external conditions [10].
The current strategies include the integration of standalone simulation software in packages of software which include CAE and CFD.
Fig. 5 CAD model of a front wing race car (Inclination angle of 115° of the main wing) The CFD simulations was done on a basis of a epsilon standard wall function turbulence model combining various meshing strategies to determine the effect of the grid on the convergence of iterative calculations [13].
CFD usage allows the precise simulation of various condition of speed by producing flow fields and surface data that are difficult to obtain from real experiments.
Online since: May 2012
Authors: Wei Min Yang, Shu Jiang Li, Wen Juan Bai
In this paper, the velocity fields of two different curvature impeller blades have been comparative studied by a numerical simulation using FLUENT software.
Numerical simulation Model establishment Model shown in Fig.2, the impeller length 200mm, diameter 50mm, 80mm blade chord.
In order to simulate the accuracy of the model flow field at entrance and export, the upper and lower fluid regions have been added, two leaf fan blades were divided for tetrahedral used ICEM CFD meshing software.
Calculation set This model uses a large-scale CFD software FLUENT to do the watershed of the fan blade numerical simulation.
Computational fluid dynamics analysis -CFD software principle and application [M].
Numerical simulation Model establishment Model shown in Fig.2, the impeller length 200mm, diameter 50mm, 80mm blade chord.
In order to simulate the accuracy of the model flow field at entrance and export, the upper and lower fluid regions have been added, two leaf fan blades were divided for tetrahedral used ICEM CFD meshing software.
Calculation set This model uses a large-scale CFD software FLUENT to do the watershed of the fan blade numerical simulation.
Computational fluid dynamics analysis -CFD software principle and application [M].
Online since: June 2008
Authors: Yool Kwon Oh, Hee Sung Yoon, Young Sun Kim
A Study on Improvement Capture Velocity for Increasing Inhalation
Efficiency of Hood in Local Ventilation System
Yool Kwon Oh
1,a, Young Sun Kim
2,b and Hee Sung Yoon3,c
1
Department of Mechatronics Engineering, Chosun University, 501-759, Korea
2
Department of Precision Mechanical Engineering, Chosun University, 501-759, Korea
3
Department of Advanced Parts and Materials Engineering, Chosun University, 501-759, Korea
a
ygoh@chosun.ac.kr, bsobasic1964@nate.com, cjiwondong@naver.com (corresponding author)
Keywords: Capture Velocity, Hood, Computational Fluid Dynamic (CFD), Gas-Guide-Device
(GGD), Inhalation Force, Local Exhaust Ventilation System.
For the numerical study, computational fluid dynamic (CFD) was used to predict the improvement of flow velocity with attached GGD in hood.
In this study, among various design factors of the hood, one of the local exhaust ventilation systems, the flow phenomena around and inside the hood are analyzed to improve the capture velocity of the hood by the numerical analysis using a computational fluid dynamic (CFD).
(a) 3-D hood attached GGD (b) 2-D analysis model of 5 measurement points Fig. 1 Schematic diagram of hood attached GGD and test section Numerical and Experimental method In this study, the CFD commercial code "Phoenics 3.1" used for the numerical analysis.
Numerical results of flow velocity by the measurement conditions [unit: m/sec] Rate Point 1 Point 2 Point 3 Point 4 Point 5 5 : 5 1.305 1.468 1.306 1.478 1.304 4.5 : 5.5 1.303 1.479 1.358 1.484 1.305 4 : 6 1.311 1.484 1.370 1.491 1.312 3.5 : 6.5 1.304 1.480 1.366 1.482 1.305 b=125mm 3 : 7 1.303 1.498 1.396 1.495 1.303 5 : 5 1.304 1.443 1.309 1.439 1.305 4.5 : 5.5 1.303 1.456 1.332 1.456 1.306 4 : 6 1.309 1.479 1.348 1.469 1.310 3.5 : 6.5 1.305 1.473 1.341 1.471 1.306 b=150mm 3 : 7 1.304 1.483 1.375 1.490 1.305 5 : 5 1.307 1.419 1.260 1.387 1.308 4.5 : 5.5 1.304 1.429 1.279 1.429 1.306 4 : 6 1.312 1.449 1.308 1.460 1.313 3.5 : 6.5 1.305 1.452 1.335 1.453 1.306 b=175mm 3 : 7 1.304 1.426 1.351 1.429 1.307 Fig. 3 visually shows the results of the flow simulation when the widths of the GGD were 125 mm, 150 mm and 175 mm and their X : Y ratios were 4 : 6.
For the numerical study, computational fluid dynamic (CFD) was used to predict the improvement of flow velocity with attached GGD in hood.
In this study, among various design factors of the hood, one of the local exhaust ventilation systems, the flow phenomena around and inside the hood are analyzed to improve the capture velocity of the hood by the numerical analysis using a computational fluid dynamic (CFD).
(a) 3-D hood attached GGD (b) 2-D analysis model of 5 measurement points Fig. 1 Schematic diagram of hood attached GGD and test section Numerical and Experimental method In this study, the CFD commercial code "Phoenics 3.1" used for the numerical analysis.
Numerical results of flow velocity by the measurement conditions [unit: m/sec] Rate Point 1 Point 2 Point 3 Point 4 Point 5 5 : 5 1.305 1.468 1.306 1.478 1.304 4.5 : 5.5 1.303 1.479 1.358 1.484 1.305 4 : 6 1.311 1.484 1.370 1.491 1.312 3.5 : 6.5 1.304 1.480 1.366 1.482 1.305 b=125mm 3 : 7 1.303 1.498 1.396 1.495 1.303 5 : 5 1.304 1.443 1.309 1.439 1.305 4.5 : 5.5 1.303 1.456 1.332 1.456 1.306 4 : 6 1.309 1.479 1.348 1.469 1.310 3.5 : 6.5 1.305 1.473 1.341 1.471 1.306 b=150mm 3 : 7 1.304 1.483 1.375 1.490 1.305 5 : 5 1.307 1.419 1.260 1.387 1.308 4.5 : 5.5 1.304 1.429 1.279 1.429 1.306 4 : 6 1.312 1.449 1.308 1.460 1.313 3.5 : 6.5 1.305 1.452 1.335 1.453 1.306 b=175mm 3 : 7 1.304 1.426 1.351 1.429 1.307 Fig. 3 visually shows the results of the flow simulation when the widths of the GGD were 125 mm, 150 mm and 175 mm and their X : Y ratios were 4 : 6.
Online since: December 2010
Authors: Min Xia Li, Xiu Hui Li, Zhan Zhong Wang
The numerical simulation was carried out with commercial CFD software-Fluent and the k-ε model was established to research this project.
From the results of the simulation and the experiment, it is shown that the method of numerical simulation coupling fan and laboratory model was feasible to the simulation of the laboratory. ⅠIntroduction Establish desert environment simulation laboratory aimed at retreating the desert region environment in the laboratory by hand, building a simulating natural conditions and a artificial environment space according to the natural climate change regularity, and then, going on the research of the desert region system.
The goal to improve flow laboratory is to achieve the simulation of natural wind through the rational model of airflow organization in simulation area, meet the demands of wind field experiment of wind, and mainly meet the requirements to speed. Ⅳ The numerical simulation of desert environment simulation laboratory Figure 2.
Goulas: Efficient treatment of complex geometries for large eddy simulations of turbulent flows.
Rodi: Large-eddy simulation of flow around low-pressure turbine blade with incoming wakes AIAA Journal, 41(11):2143-2156,(2003) [5] ZHOU Sheng-jie: Airflow Numerical Simulation and Optimization of Artificial Simulation Environment Test-chamber”,Fluid Machinery Vol.36, No.04,(2008) P.73
From the results of the simulation and the experiment, it is shown that the method of numerical simulation coupling fan and laboratory model was feasible to the simulation of the laboratory. ⅠIntroduction Establish desert environment simulation laboratory aimed at retreating the desert region environment in the laboratory by hand, building a simulating natural conditions and a artificial environment space according to the natural climate change regularity, and then, going on the research of the desert region system.
The goal to improve flow laboratory is to achieve the simulation of natural wind through the rational model of airflow organization in simulation area, meet the demands of wind field experiment of wind, and mainly meet the requirements to speed. Ⅳ The numerical simulation of desert environment simulation laboratory Figure 2.
Goulas: Efficient treatment of complex geometries for large eddy simulations of turbulent flows.
Rodi: Large-eddy simulation of flow around low-pressure turbine blade with incoming wakes AIAA Journal, 41(11):2143-2156,(2003) [5] ZHOU Sheng-jie: Airflow Numerical Simulation and Optimization of Artificial Simulation Environment Test-chamber”,Fluid Machinery Vol.36, No.04,(2008) P.73
Online since: June 2012
Authors: Rui Jiang, Zhen Zhe Li, Mei Qin Li, Gui Ying Shen, Ming Ren
Numerical Simulation of Cooling System of Battery
Using Parameter Study
Rui Jiang1, Zhen-Zhe Li1, a, Gui-Ying Shen1, Ming Ren1 and Mei-Qin Li1
1College of Mechanical and Electrical Engineering, Wenzhou University
Wenzhou Higher Education Park, Zhejiang, P.R.
China aa13868659593@163.com Keywords: Battery, Cooling system, Heat transfer, Numerical simulation Abstract.
Hu has studied the temperature distribution of battery pack using CFD (computational fluid dynamics), and recommended a new cooling strategy for battery pack[11].
In this study, the steady simulations were carried out using a commercial CFD code – FLUENT.
The standard k-ε turbulence model was used for the simulation of convection, and 3 dimensional heat conduction was included.
China aa13868659593@163.com Keywords: Battery, Cooling system, Heat transfer, Numerical simulation Abstract.
Hu has studied the temperature distribution of battery pack using CFD (computational fluid dynamics), and recommended a new cooling strategy for battery pack[11].
In this study, the steady simulations were carried out using a commercial CFD code – FLUENT.
The standard k-ε turbulence model was used for the simulation of convection, and 3 dimensional heat conduction was included.
Online since: September 2013
Authors: Jia Liu, Bai Feng Ji, Shu Jin Li, You Fu Du, Li Jiang
Wind pressure of pedestrian bridge induced by main line train has been investigated using numerical simulation.
But simulation on pedestrian bridge is few.
Numerical simulation and experimental investigation of the side loading on a high speed train [J].
Numerical simulation of aerodynamic characteristics of roof passing by high-speed railway train [J].
Simulation of pressure on overline bridge due to high-speed train passage [J].
But simulation on pedestrian bridge is few.
Numerical simulation and experimental investigation of the side loading on a high speed train [J].
Numerical simulation of aerodynamic characteristics of roof passing by high-speed railway train [J].
Simulation of pressure on overline bridge due to high-speed train passage [J].
Online since: February 2013
Authors: Masoud Darbandi, Elyas Lakzian
In high Knudsen number flow regimes microgas flow analysis may not be performed accurately using the classical CFD methods.
Alternatively, the gas flow through micro-geometries can be investigated reliably using the direct simulation Monte Carlo (DSMC) method.
Back to past study in the field of gas mixing in micro geometries, Gobby, et al. [7] simulated and analyzed the mixing of methanol and oxygen in a T-shape channel using the CFD method.
Farouk, Numerical Simulation of Gas Flow and Mixing in a Microchannel Using the Direct Simulation Monte Carlo Method.
Li, Gas Mixing in Microchannels Using the Direct Simulation Monte Carlo Method.
Alternatively, the gas flow through micro-geometries can be investigated reliably using the direct simulation Monte Carlo (DSMC) method.
Back to past study in the field of gas mixing in micro geometries, Gobby, et al. [7] simulated and analyzed the mixing of methanol and oxygen in a T-shape channel using the CFD method.
Farouk, Numerical Simulation of Gas Flow and Mixing in a Microchannel Using the Direct Simulation Monte Carlo Method.
Li, Gas Mixing in Microchannels Using the Direct Simulation Monte Carlo Method.