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Online since: January 2013
Authors: Xiao Dong Yu, Bo Wu, Xue Mei Chang, Chao Yin
Numerical Simulation
Model of Hydrostatic Center Rest.
Three-dimensional geometry model of the oil film of two oil pads is introduced into the pre-processor of ICEM CFD to generate mesh.
The static pressure and the total pressure are computed numerically by using ICEM CFD.
When spindle rotating speed is 510r/min and carrying pressure is 2.1MPa, the relationship curve between lubricating oil dynamic viscosity and lubricating oil film dynamic pressure of heavy constant flow hydrostatic center rest can be obtained by using ICEM CFD, which is shown as Fig. 10.
In order to study the influence of inlet flow rate on the oil film dynamic pressure of heavy constant flow hydrostatic center rest, the inlet flow rate is assigned respectively 0.14kg/s, 0.16kg/s, 0.18kg/s, 0.2kg/s, 0.22kg/s, 0.24kg/s, 0.26kg/s and 0.28kg/s, and lubricating oil film dynamic pressure is computed numerically by using ICEM CFD.
Three-dimensional geometry model of the oil film of two oil pads is introduced into the pre-processor of ICEM CFD to generate mesh.
The static pressure and the total pressure are computed numerically by using ICEM CFD.
When spindle rotating speed is 510r/min and carrying pressure is 2.1MPa, the relationship curve between lubricating oil dynamic viscosity and lubricating oil film dynamic pressure of heavy constant flow hydrostatic center rest can be obtained by using ICEM CFD, which is shown as Fig. 10.
In order to study the influence of inlet flow rate on the oil film dynamic pressure of heavy constant flow hydrostatic center rest, the inlet flow rate is assigned respectively 0.14kg/s, 0.16kg/s, 0.18kg/s, 0.2kg/s, 0.22kg/s, 0.24kg/s, 0.26kg/s and 0.28kg/s, and lubricating oil film dynamic pressure is computed numerically by using ICEM CFD.
Online since: October 2011
Authors: Li Hua Zhao, Qing Lin Meng, Xiao Shan Yang, Michael Bruse
Bouyer et al. [3] established a coupling simulation platform to evaluate the microclimate influence on building performance by integrating a home developed thermoradiative code into the commercial CFD software Fluent.
Methodology 2.1 Introduction of simulation tools In this work, building energy simulation was performed by EnergyPlus program (version 6.0).
The BCVTB is a software environment that aims to couple different simulation programs for co-simulation, and to couple simulation programs with actual hardware.
After introducing the air temperature and flow fields from ENVI-met (basing on CFD simulation) into EnergyPlus, these correlations are no longer applicable.
Carmeliet, Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling, Energy Conversion and Management Vol. 52 (2011), p. 512-522
Methodology 2.1 Introduction of simulation tools In this work, building energy simulation was performed by EnergyPlus program (version 6.0).
The BCVTB is a software environment that aims to couple different simulation programs for co-simulation, and to couple simulation programs with actual hardware.
After introducing the air temperature and flow fields from ENVI-met (basing on CFD simulation) into EnergyPlus, these correlations are no longer applicable.
Carmeliet, Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling, Energy Conversion and Management Vol. 52 (2011), p. 512-522
Online since: March 2015
Authors: Na Gao, Chen Pu, Bao Chen
Three simulations are made to testify the method on flow control.
In 2004, USA's NASA the Langley Research center has managed item of named “zero mass jet flow and the turbulent separation control CFD confirmation” especially; one of its achievements has provided the more widespread empirical data for the active control simulation.
Numerical simulation configuration and the calculation conditions selected from related experiment of NASA LeRc in this paper, included independent zero mass jet, synthetic jet in a crossflow and active control of airfoil.
In the numerical simulation, the jet flow model (boundary condition) (case1) replaces the zero mass jet to simulate the internal flow field, this simplified the simulation process, the mean velocity on the center line, the jet width, velocity distribution and velocity type are compared well with experimental results.
Tsinghua University Book Concern, 2004 [5] Langley Research Center Workshop.CFD Validation of Synthetic Jets and Turbulent Separation Control.2004.3
In 2004, USA's NASA the Langley Research center has managed item of named “zero mass jet flow and the turbulent separation control CFD confirmation” especially; one of its achievements has provided the more widespread empirical data for the active control simulation.
Numerical simulation configuration and the calculation conditions selected from related experiment of NASA LeRc in this paper, included independent zero mass jet, synthetic jet in a crossflow and active control of airfoil.
In the numerical simulation, the jet flow model (boundary condition) (case1) replaces the zero mass jet to simulate the internal flow field, this simplified the simulation process, the mean velocity on the center line, the jet width, velocity distribution and velocity type are compared well with experimental results.
Tsinghua University Book Concern, 2004 [5] Langley Research Center Workshop.CFD Validation of Synthetic Jets and Turbulent Separation Control.2004.3
Online since: May 2014
Authors: Chayut Nuntadusit, Watchara Musika, Makatar Wae-Hayee, Banyat Niyomwas, Passakorn Vessakosol
Investigation of Flow and Heat Transfer Characteristics of
Annular Impinging Jet
Watchara Musika1,a, Makatar Wae-hayee1,b,
Passakorn Vessakosol1,c, Banyat Niyomwas1,d and Chayut Nuntadusit1,e*
1Energy Technology Research Center and Department of Mechanical Engineering, Faculty of Engineering, Prince of Songkla University, Hat yai, Songkhla, Thailand
apop_ts@hotmail.com, bwaehahyee@gmail.com,
cpassakornv@hotmail.com, dbanyat@engineer.com, echayut@me.psu.ac.th
Keywords: Impinging jet, Annular jet, Heat transfer enhancement, CFD
Abstract.
The numerical simulation was carried out to visualize the flow behavior.
Numerical Simulation Flow characteristics of the impinging jet were reviewed by using computational fluid dynamics software (ANSYS ver.13.0, Fluent).
Fig. 2 Nusselt number contours on impingement surface (Experimental results, Re=20,000, Tj=27oC) Fig. 3 Distributions of local Nusselt number on the impinged surface passing the centre of impingement region (Experimental results, Re=20,000, Tj=27oC) Fig. 4 (a): Distribution of Y-component velocity on centerline of impingement region above from the surface of 1 mm, and (b), (c): streamlines of jet on Z-X plane passing center of nozzle (CFD results, Re=20,000).
The numerical simulation was carried out to visualize the flow behavior.
Numerical Simulation Flow characteristics of the impinging jet were reviewed by using computational fluid dynamics software (ANSYS ver.13.0, Fluent).
Fig. 2 Nusselt number contours on impingement surface (Experimental results, Re=20,000, Tj=27oC) Fig. 3 Distributions of local Nusselt number on the impinged surface passing the centre of impingement region (Experimental results, Re=20,000, Tj=27oC) Fig. 4 (a): Distribution of Y-component velocity on centerline of impingement region above from the surface of 1 mm, and (b), (c): streamlines of jet on Z-X plane passing center of nozzle (CFD results, Re=20,000).
Online since: August 2013
Authors: Y. K. Chen, G.J. Williams, F.S. Bhinde
Three-dimensional and time dependant simulation of a planar solid oxide fuel cell stack.
Chyu, Simulation of the chemical/electrochemical reactions and heat/mass transfer for a tubular SOFC in a stack, J.
(24) At the electrode/electrolyte interface, as the current present at that point is the rate at which either a reactant/product is consumed/produced the source/sink terms for the model will be: . (25) Global Algorithm A commercial CFD package, PHOENICS was used to conduct detailed numerical simulations of the square, planar geometry.
Figures 8-13 show the results of the coupled CFD simulation.
There are various possible reasons for this discrepancy which are explained when looking further at CFD results shown in Figures 8-13.
Chyu, Simulation of the chemical/electrochemical reactions and heat/mass transfer for a tubular SOFC in a stack, J.
(24) At the electrode/electrolyte interface, as the current present at that point is the rate at which either a reactant/product is consumed/produced the source/sink terms for the model will be: . (25) Global Algorithm A commercial CFD package, PHOENICS was used to conduct detailed numerical simulations of the square, planar geometry.
Figures 8-13 show the results of the coupled CFD simulation.
There are various possible reasons for this discrepancy which are explained when looking further at CFD results shown in Figures 8-13.
Online since: November 2015
Authors: Jozef Bocko, Pavol Lengvarský
However, more computations are needed for detailed simulation of all processes.
Especially important is simulation of thermal and pressure states inside cask, which is our next task.
Tsai, The development of a three-dimensional transient CFD model for predicting cooling ability of spent fuel pools, Applied Thermal Engineering 50 (2013) 496-504
Xiong, The design and simulation of a new spent fuel pool passive cooling system, Annals of Nuclear Energy 58 (2013) 124-131
Feria, CFD analysis of a cask for spent fuel dry storage: Model fundamentals and sensitivity studies, Annals of Nuclear Energy 76 (2015) 54-62
Especially important is simulation of thermal and pressure states inside cask, which is our next task.
Tsai, The development of a three-dimensional transient CFD model for predicting cooling ability of spent fuel pools, Applied Thermal Engineering 50 (2013) 496-504
Xiong, The design and simulation of a new spent fuel pool passive cooling system, Annals of Nuclear Energy 58 (2013) 124-131
Feria, CFD analysis of a cask for spent fuel dry storage: Model fundamentals and sensitivity studies, Annals of Nuclear Energy 76 (2015) 54-62
Online since: October 2014
Authors: Jia Li, Hua Cong Li, Jiang Feng Fu, Shu Hong Wang
The simulation datas compared with test datas show that under different calculation conditions, head error of the simulation data and experimental data is less than 1%, and the efficiency value of error is less than 5%.
The simulation method can accurately calculate the performance of the pump.
Then we test the sample and compare the test datas with simulations.The datas comparision is shown in fig.7.
Conclusion By studying the following conclusions: (1) we gave a new structual aero fuel centrifugal pump’s design method that inducer and impeller was combined based on combining empirical coefficient method with modern CFD technology, achieving structural parameter optimization and shortening the design cycle time in process
[5] Shen S C.Design and simulation of aero-engine high presssure centrifugal pump:Computer Simulation, Vol. 84-87(2011),p.28:.
The simulation method can accurately calculate the performance of the pump.
Then we test the sample and compare the test datas with simulations.The datas comparision is shown in fig.7.
Conclusion By studying the following conclusions: (1) we gave a new structual aero fuel centrifugal pump’s design method that inducer and impeller was combined based on combining empirical coefficient method with modern CFD technology, achieving structural parameter optimization and shortening the design cycle time in process
[5] Shen S C.Design and simulation of aero-engine high presssure centrifugal pump:Computer Simulation, Vol. 84-87(2011),p.28:.
Online since: January 2012
Authors: Ming Yan, Ming Yuan Zhang, Lin Li
Fig. 1 Model of water antrum
Fig. 2 Model of cylinder head
Mesh Modal
In numerical simulation, the division of the grid is a very important and difficult issue.
The high quality grid is the prime condition of the successful realization of the numerical simulation; it will directly affect the computation, no matter thin or thick.
References [1] Guo Lixin, Yang Haitao, Numerical simulation of temperature field of cylinder head and cylinder block using directly coupled calculation,.
[5] Srinivasan V, Moon K, Numerical simulation of immersion quenching process of an engine cylinder head, Applied Mathematical Modelling, 34 (2010) 2111-2128
[8] Liu Jie, Pan Yisu, Influence of contact simulation on thermal stresses analysis of cylinder head, Journal of Chongqing Institute of Technology, 22 (2008) 24-27.
The high quality grid is the prime condition of the successful realization of the numerical simulation; it will directly affect the computation, no matter thin or thick.
References [1] Guo Lixin, Yang Haitao, Numerical simulation of temperature field of cylinder head and cylinder block using directly coupled calculation,.
[5] Srinivasan V, Moon K, Numerical simulation of immersion quenching process of an engine cylinder head, Applied Mathematical Modelling, 34 (2010) 2111-2128
[8] Liu Jie, Pan Yisu, Influence of contact simulation on thermal stresses analysis of cylinder head, Journal of Chongqing Institute of Technology, 22 (2008) 24-27.
Online since: October 2014
Authors: Jun Wang, Guang Sheng Du, Yong Hui Liu
Simulation method
Numerical simulation method includes the following types: direct numerical simulation, Reynolds averaging method and large eddy simulation[1].
The direct numerical simulation and large eddy simulation can obtain more information than Reynolds averaging method. 2.
Direct numerical simulation and experiment This paper uses a twelve stage finite difference method for the calculation of direct numerical simulation.
Numerical simulation results and experimental analysis As an example Reynolds number equal to 2200 get a direct numerical simulation and experimental analysis, the simulation results and experimental results are compared 3.1.
[4].Li Xinliang, Ma Yanwen, Fu Dexun, CFD J. 2000, Vol.8, No.4, 536-543 [5].
The direct numerical simulation and large eddy simulation can obtain more information than Reynolds averaging method. 2.
Direct numerical simulation and experiment This paper uses a twelve stage finite difference method for the calculation of direct numerical simulation.
Numerical simulation results and experimental analysis As an example Reynolds number equal to 2200 get a direct numerical simulation and experimental analysis, the simulation results and experimental results are compared 3.1.
[4].Li Xinliang, Ma Yanwen, Fu Dexun, CFD J. 2000, Vol.8, No.4, 536-543 [5].
Online since: March 2015
Authors: Yu Wen Li, Gan Zhou, Mei Juan Zhou
Introduction
With the development of the industry, the control cabinet is gradually realized intellectualization.In case of outdoor without shelter,summer temperature,cabinet temperature reaches 40 ˚C, coupled with the solar radiation and the heating element,will make internal temperature of cabinet may exceed the permitted (-10˚C -55˚C )[1].Device running under the high temperature overload for a long time,can cause the performance of electrical components to degraded,even exploded,that affect normal operation of the system,so it is necessary to ensure that temperature is not too high in the cabinet[2].The outdoor double intelligent cabinet temperature calculation is hard, in recent years ,the use of CFD method of numerical simulation study on its document is also increasing,usually a complete numerical simulation process generally include the preprocessor,numerical calculation and post processing.Preprocess is generally divided into geometric modeling,mesh generation.
Once some data change, all need to model (reconstruction or modify) and a series of process,they increased the difficulty of the engineering personnel.In order to make up for deficiencies of the preprocessing of numerical simulation,numerical calculation and post processing.Using the VB language to encapsulate Gambit and Fluent,based on Visual Basic for the redevelopment of intelligent cabinet before the numerical simulation software,the system requirements for the professional design staff is not high,and the operation is simple and quick and improve the work efficiency.
Redevelopment software only need to develop intuitive parameter input interface and function of automatic generation command text files,The author only need to input the parameter of analysis objects in the visual interface, invoke the background Fluent to numerical simulation.[5,6]finally, the simulation results directly back to the user.
Contrast the results of simulation By optimizing exhaust air of the fan, respectively 12m3/min and15 m3/min,the maximum temperature reduced3 ˚C.Choose certain points of the cabinet,carry on the comparison and analysis is shown in Figure 8.
Figure 8.Contrast analysis diagram Conclusion Using VB programming language to redevelopment software of outdoor double intelligent cabinet,the interface is intuitive,easy operation[6] .Processor (geometry modeling and grid division) and post treatment (numerical simulation) and all of the whole process were realized. 1) The module has very good auxiliary function to the numerical simulation of outdoor double intelligent Cabinet,For engineering and technical personnel only need to have a certain understand to structure and working conditions of outdoor double intelligent cabinet,it is enough for outdoor double intelligent cabinet optimized application module. 2) The results of numerical simulation show that the module can be well applied to engineering[8] .
Once some data change, all need to model (reconstruction or modify) and a series of process,they increased the difficulty of the engineering personnel.In order to make up for deficiencies of the preprocessing of numerical simulation,numerical calculation and post processing.Using the VB language to encapsulate Gambit and Fluent,based on Visual Basic for the redevelopment of intelligent cabinet before the numerical simulation software,the system requirements for the professional design staff is not high,and the operation is simple and quick and improve the work efficiency.
Redevelopment software only need to develop intuitive parameter input interface and function of automatic generation command text files,The author only need to input the parameter of analysis objects in the visual interface, invoke the background Fluent to numerical simulation.[5,6]finally, the simulation results directly back to the user.
Contrast the results of simulation By optimizing exhaust air of the fan, respectively 12m3/min and15 m3/min,the maximum temperature reduced3 ˚C.Choose certain points of the cabinet,carry on the comparison and analysis is shown in Figure 8.
Figure 8.Contrast analysis diagram Conclusion Using VB programming language to redevelopment software of outdoor double intelligent cabinet,the interface is intuitive,easy operation[6] .Processor (geometry modeling and grid division) and post treatment (numerical simulation) and all of the whole process were realized. 1) The module has very good auxiliary function to the numerical simulation of outdoor double intelligent Cabinet,For engineering and technical personnel only need to have a certain understand to structure and working conditions of outdoor double intelligent cabinet,it is enough for outdoor double intelligent cabinet optimized application module. 2) The results of numerical simulation show that the module can be well applied to engineering[8] .