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Online since: October 2011
Authors: Ou Zi Liu, Jin Sheng Cai
The self-sustained oscillation cycle of the open ramp cavity was got by simulation.
With the development of the computer technique, turbulent model and computational method, the use of CFD technology to simulate unsteady flow of cavity more and more.
Gangwar et al. [6] developed a lumped deterministic source term module to model the effect of cavity unsteadiness in gas-path only simulations.
The simulation methods were valid to simulate the cavity unsteady flow.
The self-sustained oscillation cycle of the open ramp cavity was got by simulation at different times.
With the development of the computer technique, turbulent model and computational method, the use of CFD technology to simulate unsteady flow of cavity more and more.
Gangwar et al. [6] developed a lumped deterministic source term module to model the effect of cavity unsteadiness in gas-path only simulations.
The simulation methods were valid to simulate the cavity unsteady flow.
The self-sustained oscillation cycle of the open ramp cavity was got by simulation at different times.
Online since: December 2011
Authors: Hong Liu, Mao Zhao Xie, Hong Sheng Liu, Jun Rui Shi
On the other hand, numerical simulation has become a very important and powerful tool for investigating and understanding complex flow phenomena in science and engineering.
Over recent years more and more efforts have been made to investigate metal melt flows, both one- phase and two-phases, by numerical simulations [6-9].
The three dimensional two-phase CFD model described above was solved using the commercial flow simulation software FLUENT 6.1 as well as a number of user-defined routines, which include implementations of computing interphase forces.
To keep a lower computation cost, all simulations of this work are carried out with the cell number of 105.
The results indicate that For CFD modeling of complicated two-phase flow with rotating boundary as studied in this work, the MRF method is a suitable and efficient tool, which provides reasonable predictions with relative lower cost.
Over recent years more and more efforts have been made to investigate metal melt flows, both one- phase and two-phases, by numerical simulations [6-9].
The three dimensional two-phase CFD model described above was solved using the commercial flow simulation software FLUENT 6.1 as well as a number of user-defined routines, which include implementations of computing interphase forces.
To keep a lower computation cost, all simulations of this work are carried out with the cell number of 105.
The results indicate that For CFD modeling of complicated two-phase flow with rotating boundary as studied in this work, the MRF method is a suitable and efficient tool, which provides reasonable predictions with relative lower cost.
Online since: July 2011
Authors: Yi Chun Wang, Chao Qing Feng, Rui Wang, Huo Ming Zhan, Hua Jun Li
After the numerical simulation, the best structural parameters of fin are received.
The speed of 2.5m/s was selected in numerical simulation.
The numerical simulation cell of model Numerical Simulation and Analysis The type of fins can influence the efficiency of air-condition.
In this numerical simulation, four parameters of fins is optimized, those are fin thickness, fin height, distance between two fins and the shape parameters of fins[5].
[5] Thomas Perrotin,Denis Clodic.Thermal-hydraulic CFD study in louvered fin-and-flat tube heat exchangers.International Journal of Refrigeration.2004,27:422-432.
The speed of 2.5m/s was selected in numerical simulation.
The numerical simulation cell of model Numerical Simulation and Analysis The type of fins can influence the efficiency of air-condition.
In this numerical simulation, four parameters of fins is optimized, those are fin thickness, fin height, distance between two fins and the shape parameters of fins[5].
[5] Thomas Perrotin,Denis Clodic.Thermal-hydraulic CFD study in louvered fin-and-flat tube heat exchangers.International Journal of Refrigeration.2004,27:422-432.
Online since: October 2015
Authors: Julio Cesar Costa Campos, Albino J.K. Leiroz, Maysa T. Resende
This article analysis the computational simulation of wood's gasification in a bubbling fluidized bed reactor.
The model used for the simulation was the computational fluid dynamics (CFD), by means of an open-source program named MFIX (Multiphase Flow with Interphase eXchange).
The fluidized bed reactor utilized in the simulation, [12].
The Figure 2 highlights the inertia of a fluidized bed and the need for long real time simulations in order to get steady state results.
However, char amounts within the reactor are the only variables which show a still transient behavior at the end of the simulation.
The model used for the simulation was the computational fluid dynamics (CFD), by means of an open-source program named MFIX (Multiphase Flow with Interphase eXchange).
The fluidized bed reactor utilized in the simulation, [12].
The Figure 2 highlights the inertia of a fluidized bed and the need for long real time simulations in order to get steady state results.
However, char amounts within the reactor are the only variables which show a still transient behavior at the end of the simulation.
Online since: May 2011
Authors: Xin Jia, Yong An Ao, Li Wang, Chao Gu
Even though the famous CFD numerical simulation software is used widely in the research field of pollutant diffusion, the operation of the software is professional and requires strong theoretical knowledge, it is difficult for laypeople to use.
Then, authors develop new pollutant dispersion simulation software with friendly and simply operating interface, and study air-makeup systems and full exhaust systems according to the simulation results.
The main functions of the software are as follows: the concentration distribution simulation of CO, CO2 and TVOC; the diffusion exergy distribution simulation; the exergy intensity distribution simulation, and the multiple exergy intensity simulation.
Simulation Results and Analysis The multiple exergy intensity distributions in the kitchen under the four schemes are simulated by the simulation software.
The simulation results are shown in Fig. 5 to Fig. 8.
Then, authors develop new pollutant dispersion simulation software with friendly and simply operating interface, and study air-makeup systems and full exhaust systems according to the simulation results.
The main functions of the software are as follows: the concentration distribution simulation of CO, CO2 and TVOC; the diffusion exergy distribution simulation; the exergy intensity distribution simulation, and the multiple exergy intensity simulation.
Simulation Results and Analysis The multiple exergy intensity distributions in the kitchen under the four schemes are simulated by the simulation software.
The simulation results are shown in Fig. 5 to Fig. 8.
Online since: January 2015
Authors: Jian Fei Sun, Zhi Liang Ning, Fu Yang Cao, Shan Guang Liu, Xin Yi Zhao, Yan Dong Jia
Hydraulic simulation with the particle image velocimetry was adopted to verify the numerical simulation result.
Thus, to determine the velocity field before producing by numerical simulation is very important.
Experiment procedure A computational fluid dynamics (CFD) code, FLUENT, was employed for this study.
In addition, a simulation by PROCAST was conducted, to provide a comparison.
(b) (a) (a) The results in comarison with PIV and other numerical simulation methods; (b) The gate velocity in low pressure casting Fig. 2 Obtained results by PIV test and numerical simulation.
Thus, to determine the velocity field before producing by numerical simulation is very important.
Experiment procedure A computational fluid dynamics (CFD) code, FLUENT, was employed for this study.
In addition, a simulation by PROCAST was conducted, to provide a comparison.
(b) (a) (a) The results in comarison with PIV and other numerical simulation methods; (b) The gate velocity in low pressure casting Fig. 2 Obtained results by PIV test and numerical simulation.
Online since: June 2012
Authors: Ai Min Zhou, Yong Jiang, Jian Chen, Shi Zhong Wang
Numerical simulation for subcooled boiling flow process of high pressure liquid
Zhou Aimin,Jiang Yong,Chen Jian,Wang ShiZhong
Wuhan 2nd Ship Design and Research Institute,Wuhan 430064,China
epe-zhouaimin@163.com
Keywords: subcooled boiling;two-fluid model;void fraction;numerical simulation
Abstract.
A numerical simulation has been performed for subcooled boiling process of high pressure liquid.
With the development of computer hardware, numerical methods and the multiphase flow models, some researchers have studied the water subcooled boiling flow process by the CFD tools.
Numerical simulation of subcooled boiling water in vertical concentric annulus under low pressure [J].
Numerical simulation for subcooled boiling process of liquid nitrogen in vertical tube [J].
A numerical simulation has been performed for subcooled boiling process of high pressure liquid.
With the development of computer hardware, numerical methods and the multiphase flow models, some researchers have studied the water subcooled boiling flow process by the CFD tools.
Numerical simulation of subcooled boiling water in vertical concentric annulus under low pressure [J].
Numerical simulation for subcooled boiling process of liquid nitrogen in vertical tube [J].
Online since: September 2011
Authors: Lan Chen, Lu Zhen Chen, Xiao Juan Yang, Ya Ping Yu
., LTD, Shanghai 200040, China
alanchen@usst.edu.cn
Keywords: Rotary press; Feeding wheel; Powder flow; Simulation
Abstract.
Computational Fluid Dynamics (CFD) Simulation.
In the simulation, except for the former wheel speeds, two more speeds, 50 rpm and 55 rpm, were considered as well.
Due to the lack of suitable apparatus to measure the powder flowability in a narrow moving space, numerical simulation is an effective means to study the process.
It is logical to expect that the numerical simulation would be helpful for designing the feed shoe and selecting the operating conditions.
Computational Fluid Dynamics (CFD) Simulation.
In the simulation, except for the former wheel speeds, two more speeds, 50 rpm and 55 rpm, were considered as well.
Due to the lack of suitable apparatus to measure the powder flowability in a narrow moving space, numerical simulation is an effective means to study the process.
It is logical to expect that the numerical simulation would be helpful for designing the feed shoe and selecting the operating conditions.
Online since: January 2015
Authors: Ting Liang Chu, Xiao Shan Jiang
The capillary jet is simulated by Computational Fluid Dynamics (CFD) method.
Water is used for the simulation and the physical properties of it keep constant at the room temperature of 293K.
The operating parameters and the material properties used in the simulation are listed in Tab.1 and Tab.2, respectively.
The simulation results show that the local micro impurity on the inner orifice wall deflects the capillary jet which deteriorates the jet direction.
The simulation results show that the capillary jet deflects as the decrease of local pressure gradient is not along the orifce axis.
Water is used for the simulation and the physical properties of it keep constant at the room temperature of 293K.
The operating parameters and the material properties used in the simulation are listed in Tab.1 and Tab.2, respectively.
The simulation results show that the local micro impurity on the inner orifice wall deflects the capillary jet which deteriorates the jet direction.
The simulation results show that the capillary jet deflects as the decrease of local pressure gradient is not along the orifce axis.
Online since: March 2015
Authors: Hong Yuan Ding, Peng Deng, Xu Yao Mao, Chao Wu
Numerical Simulation
Flash boiling spray model is applied in open source CFD software KIVA-3V.
Fg.5 Images of n-hexane sprays (experiment V.S. simulation) (Left) Fg.6 Images of ethanol sprays (experiment V.S. simulation) (Right) Spray characteristic was compared in Fig.7.
Only the spray jet on the imaging plane were taken into consideration in simulation.
Hence simulation results were reasonable.
Simulation in this paper was lack of specific nozzle outlet conditions.
Fg.5 Images of n-hexane sprays (experiment V.S. simulation) (Left) Fg.6 Images of ethanol sprays (experiment V.S. simulation) (Right) Spray characteristic was compared in Fig.7.
Only the spray jet on the imaging plane were taken into consideration in simulation.
Hence simulation results were reasonable.
Simulation in this paper was lack of specific nozzle outlet conditions.