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Online since: December 2013
Authors: Qing Zhen Yang, Jian Nan He, Xiang Gao, Hong Zhou
So the method of numerical simulation has become more and more popular[4,5]. there are fewer researches on the numerical simulation of the infrared radiation characteristics for the turbo-fan engine with S-shaped nozzle.
The flow field of them at non-afterburning condition is calculated with the CFD software A code base on the Reverse Monte-Carlo method is developed with C++, which is used to calculate the infrared radiation characteristics of all the nozzles.
Reverse Monte-Carlo method (RMCM) is adopted to calculate the infrared radiation characteristics of the exhaust system, which is a random simulation method[8,9,10].
Backward Monte Carlo Method Simulation in Radiative Heat Transfer [J].
Tan, Simulation of the Infrared Radiation Characteristics of High-temperature Exhaust Plume Including Particles Using the Backward Monte Carlo Method [J].Journal of Quantitative Spectroscopy & Radiative Transfer,2005,95:231-240.
The flow field of them at non-afterburning condition is calculated with the CFD software A code base on the Reverse Monte-Carlo method is developed with C++, which is used to calculate the infrared radiation characteristics of all the nozzles.
Reverse Monte-Carlo method (RMCM) is adopted to calculate the infrared radiation characteristics of the exhaust system, which is a random simulation method[8,9,10].
Backward Monte Carlo Method Simulation in Radiative Heat Transfer [J].
Tan, Simulation of the Infrared Radiation Characteristics of High-temperature Exhaust Plume Including Particles Using the Backward Monte Carlo Method [J].Journal of Quantitative Spectroscopy & Radiative Transfer,2005,95:231-240.
Online since: October 2010
Authors: Alain Dollet, Eric Casenove, Loic Pujol, Alexis Vossier, Arnaud Perona, Vincent Goetz
Experiments and simulations were carried out to assess a passive device for cooling photovoltaic cells under concentrated sunlight.
Its interest for CPV applications was assessed by performing heat transfer simulations in combination with experimental measurements.
A second simulation was performed for a pure Al enclosure (see text).
Numerical simulations.
Xu, "Modeling Phase Change Material in Electronics using CFD- A case study", Proc.
Its interest for CPV applications was assessed by performing heat transfer simulations in combination with experimental measurements.
A second simulation was performed for a pure Al enclosure (see text).
Numerical simulations.
Xu, "Modeling Phase Change Material in Electronics using CFD- A case study", Proc.
Online since: October 2014
Authors: Wen Ping Zhang, Ping Jian Ming, Li Jian Zhang
The numerical method was also used to flow simulation with different attack angle and side angle, and numerical results were consistent with conclusion in the literature.
CFD (Computational Fluid Dynamics) is one of them, and many scholars at home and abroad study secondary flow phenomena using it.Ding Jue [3] and some investigators studied the flow and its characteristics in bending tube based on the structured grid theory model.
This paper uses simulation carried out to verify the experimental data.
Conclusion (1) This paper ,using numerical simulation method, study the fluid flow characteristics of square cross section bending the pipe.
Numerical simulation of theorectical models & flow characteristics in 900 bending duct.
CFD (Computational Fluid Dynamics) is one of them, and many scholars at home and abroad study secondary flow phenomena using it.Ding Jue [3] and some investigators studied the flow and its characteristics in bending tube based on the structured grid theory model.
This paper uses simulation carried out to verify the experimental data.
Conclusion (1) This paper ,using numerical simulation method, study the fluid flow characteristics of square cross section bending the pipe.
Numerical simulation of theorectical models & flow characteristics in 900 bending duct.
Online since: November 2016
Authors: Bin Zhang, Qin He Sun, Wei Tong Liu
Thermal Performance of a Shape-Stabilized Phase Change Material Floor with Different Heating Positions
Bin Zhang a, Qinhe Sun b* and Weitong Liu c
College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
azb-sh@163.com, bsunqinhe@foxmail.com, c398525021@qq.com
Keywords: computational fluid dynamics (CFD); shape–stabilized phase change material (SSPCM); thermal energy storage (TES); thermal performance
Abstract.
Simulation of the SSPCM Floor The floor system(as shown in Fig. 2) includes a 50 mm–thick polystyrene insulation layer, a 40 mm–thick PCM plate layer, a 20 mm–thick marble layer, and capillary tubes with a space of 40 mm.
The entire simulation process is divided into two stages: heat storage and heat release.
Simulation of the SSPCM Floor The floor system(as shown in Fig. 2) includes a 50 mm–thick polystyrene insulation layer, a 40 mm–thick PCM plate layer, a 20 mm–thick marble layer, and capillary tubes with a space of 40 mm.
The entire simulation process is divided into two stages: heat storage and heat release.
Online since: October 2012
Authors: Wei Ping Huang, Jie Li Fan
The Numerical Research of Two-degrees-of-freedom Vortex-induced Vibrations of Circular Cylinders
Jieli Fan1, a, Weiping Huang2,b
1Shandong Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100,China
2Shandong Key Laboratory of Ocean Engineering, Ocean University of China, Qingdao 266100,China
afanjieli1115@126.com, bwphuang@ouc.edu.cn
Keywords: vortex-induced vibration; in-line VIV; cross-flow VIV; CFD
Abstract.
Numerical Simulation In this paper’s numerical simulation, the three-dimensional physical model is used.
Numerical Simulation In this paper’s numerical simulation, the three-dimensional physical model is used.
Online since: December 2014
Authors: Jia Qiang E, Teng Liu, Wei Zuo, Yi Huang
Simulation Model on entrainment process of suction mouth under negative pressure in the medium dry sanitation trucks
Physical model.
Figure2 Suction mouth CFD simulation model Mathematical model.
Simulation setting.
Because the model can maximally pick up the particle diameter of 10mm, so this paper mainly aims at simulation analysis of this kind of particle.
Simulation results According to numerical simulation, the simulation results for the flow field were obtained in Figure3~ Figure5 and the particle motion trajectory was obtained in Figure 6.
Figure2 Suction mouth CFD simulation model Mathematical model.
Simulation setting.
Because the model can maximally pick up the particle diameter of 10mm, so this paper mainly aims at simulation analysis of this kind of particle.
Simulation results According to numerical simulation, the simulation results for the flow field were obtained in Figure3~ Figure5 and the particle motion trajectory was obtained in Figure 6.
Online since: April 2016
Authors: Severino Rodrigues de Farias Neto, Antonio Gilson Barbosa de Lima, Cidronia Janiclebia de O. Buriti, Lígia Rafaely Barbosa Sarmento, Gicélia Moreira
Thermofluidodynamic evaluation of oil-water flow in the presence of a leak in curved connection: modeling and simulation
Cidronia Janiclebia de O.
ajaneburiti@yahoo.com.br, b ligiarafaely@gmail.com, cg.moreira@ufcg.edu.br, dfariasn@deq.ufcg.edu.br, eagblima@pq.cnpq.br Keywords: Two-phase flow; Connections; Leak; Numerical simulation; CFX.
In Fig. 2 the numerical mesh is shown with details in the vicinity of the leak hole generated using ICEM CFD v12.1.
The physico-chemical properties of the fluids at 293K used in the simulations are shown in Table 2.
For cases in which there is leakage (where transient flow regime) simulations for a maximum flow time of 0.1 s, the following boundary conditions were used: It was considered that the tube is initially filled with oil and water then the flow is fully developed
ajaneburiti@yahoo.com.br, b ligiarafaely@gmail.com, cg.moreira@ufcg.edu.br, dfariasn@deq.ufcg.edu.br, eagblima@pq.cnpq.br Keywords: Two-phase flow; Connections; Leak; Numerical simulation; CFX.
In Fig. 2 the numerical mesh is shown with details in the vicinity of the leak hole generated using ICEM CFD v12.1.
The physico-chemical properties of the fluids at 293K used in the simulations are shown in Table 2.
For cases in which there is leakage (where transient flow regime) simulations for a maximum flow time of 0.1 s, the following boundary conditions were used: It was considered that the tube is initially filled with oil and water then the flow is fully developed
Online since: March 2011
Authors: Qing Ling Li, Yan Zhou, Wen Juan Zheng, Xiao Hui Liu
When , there are only solid area and liquid area in the phase change process.
1.3 The simulation method validation
In order to validate the correctness of the simulation method, the experiments results in the thesis [11] are simulated by FLUENT6 software in this paper.
Fig.3 The physical model of paraffin (a) The simulation results (b)The experimental results Fig.4 Melting curve of paraffin at 70°C The simulation results shown in Fig.4, Comparison with experimental data, the simulation results are consistent with experimental data, except the small errors exist between the simulation results and the experimental data, because in the simulation a constant temperature boundary conditions is adopted, in the experiment the heat is transferred by natural convection from water to the paraffin, however the convection coefficient is not given,So that the numerical simulation of this paper is correct. 2 The results analysis 2.1 The Setting of calculated parameter The heat storage and discharge characteristics of three devices with different surface structures are simulated.
The simulations begin from 7 o’clock on the first day and end at 7 on the second day.
The CFD simulation of the solar chimney power plant system relying on high buildings[J].
Numerical Simulation of Solar Energy Storage Bed Filled with Phase Change Material[D].
Fig.3 The physical model of paraffin (a) The simulation results (b)The experimental results Fig.4 Melting curve of paraffin at 70°C The simulation results shown in Fig.4, Comparison with experimental data, the simulation results are consistent with experimental data, except the small errors exist between the simulation results and the experimental data, because in the simulation a constant temperature boundary conditions is adopted, in the experiment the heat is transferred by natural convection from water to the paraffin, however the convection coefficient is not given,So that the numerical simulation of this paper is correct. 2 The results analysis 2.1 The Setting of calculated parameter The heat storage and discharge characteristics of three devices with different surface structures are simulated.
The simulations begin from 7 o’clock on the first day and end at 7 on the second day.
The CFD simulation of the solar chimney power plant system relying on high buildings[J].
Numerical Simulation of Solar Energy Storage Bed Filled with Phase Change Material[D].
Online since: July 2013
Authors: De Gong Chang, Li Li, Jiang Zhong Wang, Guang Zhen Zhou
Fig.2 Mesh grids of the splicing cells
5 The Results and Analysis of Fluid Field Simulation
Four sections at the same position of the square, hexagon and round chambers are selected to show the simulation results.
(2) By the method of fluid flow field simulation with different splicing shapes, this paper obtains the way to optimize the air splicing shape and provides the basic tools and methods to optimize the air splicer design.
Received date: Supported by Qingdao science and technology bureau,12-1-4-3-(32)-jch *Correspondence should be addressed to Li Li, E-mail: lindabob@126.com References: [1] Li Zhaoqi; the latest development of Automatic winder [J], china textile leader, 2009 (1): 11~13 [2] Wang Jiangzhong; Research on the theory for key components of new type automatic winder [D], Qingdao s university of science and technology,2011 [3] Li Zhifeng, Chen Ruiqi; the mechanism and development direction of air splicer [J], Journal of Textile, 1997, (4) : 209~211 [4] Li yin, Ye Guoming, Chen Ruiqi; Mechanism analysis and design for air splicer of automatic winder [J], Shanghai, press of China textile university, 1997, 10 (1) : 12~18 [5] Zhou Jianheng, Qin Pengfei; CFD using in the design of air splicer [J], Journal of Donghua university (natural science edition), 2004 (30) : 49-52 [6] Chen Renzhe; Principle of textile machinery design [M], Beijing, China textile press, 1996 [7] Zhang Zhaoshun, Cui
Guixiang, Xu Chunxiao; Turbulence theory and simulation [M], Beijing, Tsinghua university press, 2005.9 [8] Ma Guiyang, Xie Maozhao; Calculation of internal combustion engine cylinder with RNGk-ε model [J] , Fuel science and technology, 2002.4 [9] Yakhot V,Orzag S A.
(2) By the method of fluid flow field simulation with different splicing shapes, this paper obtains the way to optimize the air splicing shape and provides the basic tools and methods to optimize the air splicer design.
Received date: Supported by Qingdao science and technology bureau,12-1-4-3-(32)-jch *Correspondence should be addressed to Li Li, E-mail: lindabob@126.com References: [1] Li Zhaoqi; the latest development of Automatic winder [J], china textile leader, 2009 (1): 11~13 [2] Wang Jiangzhong; Research on the theory for key components of new type automatic winder [D], Qingdao s university of science and technology,2011 [3] Li Zhifeng, Chen Ruiqi; the mechanism and development direction of air splicer [J], Journal of Textile, 1997, (4) : 209~211 [4] Li yin, Ye Guoming, Chen Ruiqi; Mechanism analysis and design for air splicer of automatic winder [J], Shanghai, press of China textile university, 1997, 10 (1) : 12~18 [5] Zhou Jianheng, Qin Pengfei; CFD using in the design of air splicer [J], Journal of Donghua university (natural science edition), 2004 (30) : 49-52 [6] Chen Renzhe; Principle of textile machinery design [M], Beijing, China textile press, 1996 [7] Zhang Zhaoshun, Cui
Guixiang, Xu Chunxiao; Turbulence theory and simulation [M], Beijing, Tsinghua university press, 2005.9 [8] Ma Guiyang, Xie Maozhao; Calculation of internal combustion engine cylinder with RNGk-ε model [J] , Fuel science and technology, 2002.4 [9] Yakhot V,Orzag S A.
Online since: May 2012
Authors: Yan Peng Wu, Hong Li
Simulation Analysis
In order to verify the rationality and accuracy of experimental results, it is necessary to compare the software simulation results with the experimental data when they are put in the same experimental conditions.
The following is the results of numerical simulation of the light pipe in the same experimental conditions by using Sky Vision software.
Four light pipes were installed in the room and the arrangement can be seen in Fig. 5 and the simulation results showed in Fig. 6.
Ventilation terminais for use with light pipe in building: a CFD study.
The following is the results of numerical simulation of the light pipe in the same experimental conditions by using Sky Vision software.
Four light pipes were installed in the room and the arrangement can be seen in Fig. 5 and the simulation results showed in Fig. 6.
Ventilation terminais for use with light pipe in building: a CFD study.