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Online since: October 2009
Authors: Tung-Hsin Yeh, Jiin Yuh Jang, Yu Bin Chen, Der Her Wang
., China Steel Corporation, Kaohsiung, Taiwan
a
n1696411@ccmail.ncku.edu.tw,
b
jangjim@mail.ncku.edu.tw
cybchen@mail.ncku.edu.tw,
d
145649@mail.csc.com.tw
Keywords: Coke oven, Numerical simulation, Thermoelectric cooler
Abstract.
In this paper, the necessary conditions of the inspective device were found out by building a three-dimensional numerical model of the device to simulate the temperature distribution inside the device with CFD commercial software.
Numerical Method In this study, the commercially available finite volume method software, CFDRC [3], has been used to carry out CFD simulations.
Spalding: Mathematical Models of Turbulence, Chap. 5, pp. 90-100, Academic, London. (1972) [3] CFD-ACE, CFD Research Corporation, Alabama, USA. (2003) 280 5 A-A Heat sink TEC Copper Camera Quartz glass IR filter Insulation A A Air Air 420 280 Unit: mm Fig. 1: The Schematic diagram of the insulated box Computational Domain y z x Air Inlet Box surface heat flux Air Outlet Quartz Glass IR Filter Camera Lens TEC Hot-end heat source=+q''+Pin Cold-end heat sink= -q'' Fig. 2: The computational domain and boundary conditions V (m/s) Fig. 3: The stream line distribution inside the inspection device T (℃) 30 35 45 50 55 60 80 65 70 75 40 T (℃) 30 50 200 350 500 650 800 950 1100 1200 Air CCD TEC Fig. 4: The temperature distribution of the insulation and CCD camera 3 3.5 4 4.5 5 flow rate (Nm3/min) 0 10 20 30 40 50 60 70 80 T ( oC ) air inlet temperature to insulated box
In this paper, the necessary conditions of the inspective device were found out by building a three-dimensional numerical model of the device to simulate the temperature distribution inside the device with CFD commercial software.
Numerical Method In this study, the commercially available finite volume method software, CFDRC [3], has been used to carry out CFD simulations.
Spalding: Mathematical Models of Turbulence, Chap. 5, pp. 90-100, Academic, London. (1972) [3] CFD-ACE, CFD Research Corporation, Alabama, USA. (2003) 280 5 A-A Heat sink TEC Copper Camera Quartz glass IR filter Insulation A A Air Air 420 280 Unit: mm Fig. 1: The Schematic diagram of the insulated box Computational Domain y z x Air Inlet Box surface heat flux Air Outlet Quartz Glass IR Filter Camera Lens TEC Hot-end heat source=+q''+Pin Cold-end heat sink= -q'' Fig. 2: The computational domain and boundary conditions V (m/s) Fig. 3: The stream line distribution inside the inspection device T (℃) 30 35 45 50 55 60 80 65 70 75 40 T (℃) 30 50 200 350 500 650 800 950 1100 1200 Air CCD TEC Fig. 4: The temperature distribution of the insulation and CCD camera 3 3.5 4 4.5 5 flow rate (Nm3/min) 0 10 20 30 40 50 60 70 80 T ( oC ) air inlet temperature to insulated box
Online since: January 2012
Authors: Fei Ma, Guo Hua Gao, Jing Zhao, Wei Dong Luo
Hybrid RANS–LES Modeling for Unsteady Cavitating Flow Simulation
GUOHUA Gao 1, a, JING Zhao 2,3,b, FEI Ma1,c ,WEIDONG Luo 1,d
1 School of Mechanical Engineering, University of Science & Technology Beijing, Beijing, China
2 School of Mechanism and Vehicle Engineering, Beijing Institute of Technology, Beijing, China
3 School of Astronautics, Harbin Institute of Technology, Harbin,China
agaoguohua2011@163.com, bsand810125@163.com, cyeke@ustb.edu.cn, dluowd@ustb.edu.cn
Keywords: CFD, Cavitating Flow, RANS-LES Model, Unsteady
Abstract.
A typical hybrid RANS-LES approach, DES (Detached Eddy Simulation), was introduced into cavitating flow simulation in this paper.
Menter, are assessed for the simulation of unsteady cavitating flow.
The purpose of this paper is to establish a dependable, robust and accurate computational CFD tool to analyze and minimize the cavitation effects in the design stage of fluid machinery components or systems.
In this paper, the scenario with natural cavitation number 0.6 and Reynolds number 7×105 is used for simulation.
A typical hybrid RANS-LES approach, DES (Detached Eddy Simulation), was introduced into cavitating flow simulation in this paper.
Menter, are assessed for the simulation of unsteady cavitating flow.
The purpose of this paper is to establish a dependable, robust and accurate computational CFD tool to analyze and minimize the cavitation effects in the design stage of fluid machinery components or systems.
In this paper, the scenario with natural cavitation number 0.6 and Reynolds number 7×105 is used for simulation.
Online since: September 2016
Authors: Bernhard A. Schrefler, Francesco Pesavento, Matteo Pachera, Pierfrancesco Brunello
For the simulation and the modeling of a fire several approaches are available [3-4], the most accurate, but computationally expensive one, is the computational fluid dynamics (CFD).
In this sense, an initial attempt applied to steel structures was done by Zhang in [5] who used the results obtained from the CFD simulation in a pure thermo-mechanical solver.
In particular, for the structural analysis a set of boundary conditions will be calculated from the CFD simulation, including both heat and mass transfer.
Further developments in this research, will include a “two ways” coupling with which the results obtained from the FEM analysis of the solid domain will be used as boundary conditions for the CFD simulation.
Fig. 7: Stress YY distribution inside the slab after 1300 s of simulation.
In this sense, an initial attempt applied to steel structures was done by Zhang in [5] who used the results obtained from the CFD simulation in a pure thermo-mechanical solver.
In particular, for the structural analysis a set of boundary conditions will be calculated from the CFD simulation, including both heat and mass transfer.
Further developments in this research, will include a “two ways” coupling with which the results obtained from the FEM analysis of the solid domain will be used as boundary conditions for the CFD simulation.
Fig. 7: Stress YY distribution inside the slab after 1300 s of simulation.
Online since: September 2013
Authors: Da Long Zhang, Jun Fu Lv, Gen Sheng Yang, Zhong Li, Ding Hua Yang, Jian Feng Li, Xiao Lin Wang
Air flow simulation in high-pressure fan with splitter blade
Wang Xiaolin 2,Yang Dinghua2,a, Yang Gensheng2 , Li Zhong2, LI Jianfeng3 Zhang Dalong1, b , Lv Junfu
1Department of Thermal Engineering, Tsinghua University, Beijing, China
2Shenhua Group Co.Ltd, Beijing China
3Scientific and Technical Service Center,China Electricity Council,Beijing,100038
aydh10@mails.tsinghua.edu.cn, bzhang_dalong88@163.com,
Keywords: Centrifugal fan, Numerical simulation, CFD, Splitter blade, Flow field.
Along with computer software and hardware development and the large-scale commercialization CFD software, it is convenient for the numerical simulation.
More and more people start using the commercial CFD software to simulate entire three dimensional flow field of fans[1,3,4]to design the better air blower.
The curve about “the actual air blower simulation value” is the simulation value on the air blower itself.
Air flow simulation in the blower.Fluid Machinery.Vol.34.
Along with computer software and hardware development and the large-scale commercialization CFD software, it is convenient for the numerical simulation.
More and more people start using the commercial CFD software to simulate entire three dimensional flow field of fans[1,3,4]to design the better air blower.
The curve about “the actual air blower simulation value” is the simulation value on the air blower itself.
Air flow simulation in the blower.Fluid Machinery.Vol.34.
Online since: September 2013
Authors: Ke Sun, Shah Khalid Syed, Liang Zhang, Sahib Ghazala
ICEM CFD is used to model a rotor domain, blade domain and stationary fluid domain.
Modeling and simulation is performed in ANSYS-ICEM and CFX.
First a single or stand alone turbine is simulated and analyzed CFD analysis and efficiency.
Difference between fixed and variable pitch vertical axis tidal turbine-using CFD analysis in CFX.
CFD simulation of twin vertical axis tidal turbines system.
Modeling and simulation is performed in ANSYS-ICEM and CFX.
First a single or stand alone turbine is simulated and analyzed CFD analysis and efficiency.
Difference between fixed and variable pitch vertical axis tidal turbine-using CFD analysis in CFX.
CFD simulation of twin vertical axis tidal turbines system.
Online since: June 2012
Authors: Guo Yi Zhou, Gao Su, Fei Du
Steady CFD analysis on gas turbine stage cascade based on mixing plane model
G.
With the development of computational fluid dynamics (CFD) and the increasing improvement of computer performance, numerical simulation techniques have been widely used in gas turbine design and flow field analysis[3-5].
“Numerical Simulation of Gas-particle Flows in the Gas Turbine of Turbocharged Set,”Journal of Naval University of Engineering.Wuhan, Vol.23, pp.80-86,April 2011, China
“The computational fluid dynamics analysis-CFD Software Theory and Application.”Beijing:Tsinghua University Press,March 2004, China
Cai, “Dynamic Simulation Analysis in Marine Turbo-charger Set of Supercharged boiler,” Master Thesis, Harbin, Harbin Engineering University, March 2007, China
With the development of computational fluid dynamics (CFD) and the increasing improvement of computer performance, numerical simulation techniques have been widely used in gas turbine design and flow field analysis[3-5].
“Numerical Simulation of Gas-particle Flows in the Gas Turbine of Turbocharged Set,”Journal of Naval University of Engineering.Wuhan, Vol.23, pp.80-86,April 2011, China
“The computational fluid dynamics analysis-CFD Software Theory and Application.”Beijing:Tsinghua University Press,March 2004, China
Cai, “Dynamic Simulation Analysis in Marine Turbo-charger Set of Supercharged boiler,” Master Thesis, Harbin, Harbin Engineering University, March 2007, China
Online since: October 2011
Authors: Jiang Wu, Yan Li, Xiu Min Jiang, Jian Xing Ren
The Simulation Study of Air Cooler in an Integrated Coal Gasification Combined Cycle System
Yan Li1,2,a, Xiumin Jiang2,b, Jiang Wu1,c and Jianxing Ren1,d
1School of Energy and Environmental Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2School of Mechanical Engineering, Institute of Thermal Energy Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China
ayli@shiep.edu.cn, bxiuminjiang@sjtu.edu.cn, c wjcfd2002@sina.com, d renjianxing@shiep.edu.cn
Keywords: heat transfer; air cooler; CFD; high pressure; IGCC
Abstract.
A considerable amount of experimental and simulation works have been done on the prediction of the heat exchanger performance [1–9].
The objective of this work is to investigate the flow field and the heat transfer characteristic of the air cooler in an IGCC by CFD simulation.
The finite volume CFD solver FLUENT6.3 was used to simulate the heat exchanger.
The results of the CFD predictions lead to the temperature distributions, the velocity distribution and the pressure drop distribution.
A considerable amount of experimental and simulation works have been done on the prediction of the heat exchanger performance [1–9].
The objective of this work is to investigate the flow field and the heat transfer characteristic of the air cooler in an IGCC by CFD simulation.
The finite volume CFD solver FLUENT6.3 was used to simulate the heat exchanger.
The results of the CFD predictions lead to the temperature distributions, the velocity distribution and the pressure drop distribution.
Online since: July 2014
Authors: Bo Sun, Tao Ding, Yi Ming Li, Qian Bo Zhao, Ming Xiao Zhao
Two structures are compared with the aid of CFD simulation, and the physical model is established based on the field measurement.
In the paper, CFD method is used to analyze ventilation effects in two kinds of workshop structures.
Simulation model Since the aluminum potroom has complicate structure and many kinds of equipment, it is necessary to simplify the physical model properly [5].
Simulation results and analysis According to the above simulation model, the velocity and temperature fields in two workshop structures are obtained.
Numerical Simulation, Tools to Design and Optimize Smelting Technology.
In the paper, CFD method is used to analyze ventilation effects in two kinds of workshop structures.
Simulation model Since the aluminum potroom has complicate structure and many kinds of equipment, it is necessary to simplify the physical model properly [5].
Simulation results and analysis According to the above simulation model, the velocity and temperature fields in two workshop structures are obtained.
Numerical Simulation, Tools to Design and Optimize Smelting Technology.
Online since: November 2015
Authors: Sivamani Seralathan, T. Mohan, A. Sudheer Kumar, T. Micha Premkumar
Commerical CFD codes ANSYS Fluent is used in the present study.
The 3D model, computation domain and mesh for this type of vertical axis wind turbine for CFD simulation is shown in Fig.1(b) and 1(c).
The unstructured tetra mesh are generated using ANSYS ICEM CFD as seen in Fig. 1(c).
This knowledge of simulation is extended to this work.
Numerical simulations are also carried out to study the flow and performance characteristics of this type of wind turbine.
The 3D model, computation domain and mesh for this type of vertical axis wind turbine for CFD simulation is shown in Fig.1(b) and 1(c).
The unstructured tetra mesh are generated using ANSYS ICEM CFD as seen in Fig. 1(c).
This knowledge of simulation is extended to this work.
Numerical simulations are also carried out to study the flow and performance characteristics of this type of wind turbine.
Online since: February 2012
Authors: Jian Peng Yao, Suo Jun Hou, Fu Xiang Guo, De Guang Fang, Wen Ku Shi
A Simulation on Aerodynamic Noise of an Air-conditioning Duck
WenkuShi1, a,JianpengYao2, b,SuojunHou3, c,FuxiangGuo4, d,DeguangFang 5,e
1,2,3State Key Laboratory of Aotomobile Dynamic Simulation Jilin university Changchun,China
4,5Nanjing Iveco Motor Company Ltd Nanjing,China
ashiwk@jlu.edu.cn bguo6791@126.com
Keywords: computational fluid dynamics (CFD);air-conditioning duck; noise control;aerodynamic noise
Abstract.
Transient flow field calculated by LES Large eddy simulation (LES) is a method between the direct numerical simulation (DNS) and Reynolds stress model.
Physical model and CFD model Fig.1, Fig.2 are physical model and CFD model of the duck.
The results from combined simulations are the same as BNS model.
Large Eddy Simulation for Acoustics.
Transient flow field calculated by LES Large eddy simulation (LES) is a method between the direct numerical simulation (DNS) and Reynolds stress model.
Physical model and CFD model Fig.1, Fig.2 are physical model and CFD model of the duck.
The results from combined simulations are the same as BNS model.
Large Eddy Simulation for Acoustics.