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Online since: July 2016
Authors: James M. Burgess, David E. Gildfind
CFD analysis of early diaphragm removal in expansion tubes
James M.
An inviscid, axisymmetric model was created using Eilmer3, a compressible CFD solver developed at the University of Queensland.
One-dimensional CFD Analysis Simulations using the L1d code ran into a fundamental problem in accurately simulating early opening.
This model was then used for early diaphragm removal simulations, but the non-physical variations in temperature history were observed again.
Two-dimensional CFD Analysis Wave and Property Results.
An inviscid, axisymmetric model was created using Eilmer3, a compressible CFD solver developed at the University of Queensland.
One-dimensional CFD Analysis Simulations using the L1d code ran into a fundamental problem in accurately simulating early opening.
This model was then used for early diaphragm removal simulations, but the non-physical variations in temperature history were observed again.
Two-dimensional CFD Analysis Wave and Property Results.
Online since: January 2013
Authors: San Ping Zhou, Li Wang
CFD Numerical Simulation
Establishment of the Physical Model and Mesh.
CFD Simulation.
With air-water as the simulating media, the average of the continuity equation and the NS equations were created by commercial CFD software—fluent.
The velocity distribution near the wall is obtained from the simulation results of the speed of images.
The liquid flow in this area is therefore read according to the simulation result.
CFD Simulation.
With air-water as the simulating media, the average of the continuity equation and the NS equations were created by commercial CFD software—fluent.
The velocity distribution near the wall is obtained from the simulation results of the speed of images.
The liquid flow in this area is therefore read according to the simulation result.
Online since: December 2012
Authors: Wen Yi Dong, Ji Li, Jing Xin Yang
E-mail: liji98@tsinghua.org.cn
Keywords: Ozone contactor, Computational fluid dynamics (CFD), Optimization, Disinfection, Bromate formation
Abstract.
[7] Stamou, A.I., Improving the hydraulic efficiency of water process tanks using CFD models.
[10] Wols, B.A., et al., Evaluation of different disinfection calculation methods using CFD.
[11] Kim, D., et al., Large Eddy Simulation of Flow and Tracer Transport in Multichamber Ozone Contactors.
[12] Li, J., et al., Application of computational fluid dynamics (CFD) to ozone contactor optimization.
[7] Stamou, A.I., Improving the hydraulic efficiency of water process tanks using CFD models.
[10] Wols, B.A., et al., Evaluation of different disinfection calculation methods using CFD.
[11] Kim, D., et al., Large Eddy Simulation of Flow and Tracer Transport in Multichamber Ozone Contactors.
[12] Li, J., et al., Application of computational fluid dynamics (CFD) to ozone contactor optimization.
Online since: February 2015
Authors: Di Di Xue, Hong Liu, Xin Wang
Research progress of EAHE all over the world
Theoretical and simulation study.
The temperature field superposition method was adopted during the simulation.
Bhutta et al. [8] introduced the application of CFD technology in the direction of simulation.It was clear that CFD can simulate well all kinds of heat transfer performance of EAHE system.
At the same time, they used the CFD technology to simulate the soil temperature field of the soil around the earth to air heat exchanger.
[15] Song Ling, Zhu Yingxin, Simulation study on cooling potential of multi-tube earth-air tunnels, J.
The temperature field superposition method was adopted during the simulation.
Bhutta et al. [8] introduced the application of CFD technology in the direction of simulation.It was clear that CFD can simulate well all kinds of heat transfer performance of EAHE system.
At the same time, they used the CFD technology to simulate the soil temperature field of the soil around the earth to air heat exchanger.
[15] Song Ling, Zhu Yingxin, Simulation study on cooling potential of multi-tube earth-air tunnels, J.
Online since: November 2012
Authors: Bo Gao, Ning Zhang, Xin Kai Sun, Min Guan Yang
Based on the provided parameter, hydraulic design of the pump has been done by CFD method.
CFD Results.
The internal flow field in the pump is simulated using CFD method to check the velocity magnitude distribution.
At last, one impeller with coupled diffusers was designed by CFD method.
Flow field simulation results shown that the velocity in the pump was well controlled even at large flow capacity.
CFD Results.
The internal flow field in the pump is simulated using CFD method to check the velocity magnitude distribution.
At last, one impeller with coupled diffusers was designed by CFD method.
Flow field simulation results shown that the velocity in the pump was well controlled even at large flow capacity.
Online since: August 2015
Authors: Sompong Putivisutisak, Supasit Prasertlarp
Numerical Simulation of Fluid Mixing in Micro-Mixers
Supasit Prasertlarp and Sompong Putivisutisak*
Department of Mechanical Engineering, Faculty of Engineering,
Chulalongkorn University, Pratumwan, Bangkok, 10330, Thailand
*sompong.pu@chula.ac.th, Tel.: +66-2-218-6337
Keywords: micro-mixers, water-ethanol mixture, CFD
Abstract
A 3-D numerical simulation is performed to study the flow dynamics and mixing characteristics between two different kinds of fluid within T-shaped micro-mixers.
Simulation method Consider two different kinds of fluid within T-shaped micro-mixers.
Simulations were performed using the commercial software, Ansys FLUENT 12.0.
Girault, Mixing processes in a zigzag microchannel: finite element simulations and optical study, Anal.
Xuereb, Design of micromixers using CFD modeling.
Simulation method Consider two different kinds of fluid within T-shaped micro-mixers.
Simulations were performed using the commercial software, Ansys FLUENT 12.0.
Girault, Mixing processes in a zigzag microchannel: finite element simulations and optical study, Anal.
Xuereb, Design of micromixers using CFD modeling.
Online since: March 2011
Authors: Xin Jin, Chun Juan Liu, Gang Sun
The development of CFD technology can help to predict the aerodynamic performance.
It’s time-saving (compared to frequent CFD calculation) and targeted (compared to optimization algorithms that need manual intervention).
Since we could not do experiments for all the foils, some CFD methods is used here in the Dyn-Collecter.
ECCOMAS CFD 2006
Chemical Industry Press, 2001 [7] Yan Pingfan, Zhang Changshui: Simulation of artificial neural networks and evolutionary computation (2nd Edition).
It’s time-saving (compared to frequent CFD calculation) and targeted (compared to optimization algorithms that need manual intervention).
Since we could not do experiments for all the foils, some CFD methods is used here in the Dyn-Collecter.
ECCOMAS CFD 2006
Chemical Industry Press, 2001 [7] Yan Pingfan, Zhang Changshui: Simulation of artificial neural networks and evolutionary computation (2nd Edition).
Online since: December 2012
Authors: Bo Sun, Ying Jun Lv, Hua Ping Lu, Yong Zhe Li
In order to research the law of chamber shape’s influencing on Axial Force in Hydrodynamic Coupling, flow field and axial force are numeric simulated at different chamber shapes in full filling rate by using separation solver, realizable k~ε model and PISO algorithm with CFD.
Common Chamber Shape of Variable Speed Hydrodynamic Coupling Simulation Model of Variable Speed Hydrodynamic Coupling Computational Domain.
Simulation Results Analysis.
Simulation Results Analysis Axial force of different type hydrodynamic coupling.
“Design of Variable Speed High- power Hydrodynamic Coupling Based on CFD”.
Common Chamber Shape of Variable Speed Hydrodynamic Coupling Simulation Model of Variable Speed Hydrodynamic Coupling Computational Domain.
Simulation Results Analysis.
Simulation Results Analysis Axial force of different type hydrodynamic coupling.
“Design of Variable Speed High- power Hydrodynamic Coupling Based on CFD”.
Online since: October 2013
Authors: Emil Udup, Claudiu Florinel Bîșu, Miron Zapciu
So, the numerical simulation presented in this paper was applied for such as test spindle.
Table 1 Parameters of the test spindle Parameter Value/Type Rotational speed (rpm) 0-4500 Bearing span (mm) 322 Max diameter of shaft(mm) 100 Length of shaft(mm) 476 Preload (N) 570 Front bearing B7211-C-T-P4S Rear bearing B7208-C-T-P4S Base oil Kluberspeed BF 42-12 Numerical Simulation To the classic spindle a steady state thermal coupled with a static mechanical simulation is used and for water cooled spindle a computational fluid dynamics (CFD) coupled with static mechanical is used.
For CFD simulation the generated heat loads are the same with the steady state thermal simulation, water channels 1 and 2 are presented in Table 2 and Fig. 2 shows the water channel 1.
Pressure 1 atm Dynamic Viscosity 8.90E-04 kg/m*s Thermal Conductivity 0.6069 W/m*K Thermal Expansion 2.57E-04 1/K Thermal and CFD respectively, are coupled with the static mechanical simulation.
The numerical simulations allow the evaluation of the temperature distribution and the induced displacements.
Table 1 Parameters of the test spindle Parameter Value/Type Rotational speed (rpm) 0-4500 Bearing span (mm) 322 Max diameter of shaft(mm) 100 Length of shaft(mm) 476 Preload (N) 570 Front bearing B7211-C-T-P4S Rear bearing B7208-C-T-P4S Base oil Kluberspeed BF 42-12 Numerical Simulation To the classic spindle a steady state thermal coupled with a static mechanical simulation is used and for water cooled spindle a computational fluid dynamics (CFD) coupled with static mechanical is used.
For CFD simulation the generated heat loads are the same with the steady state thermal simulation, water channels 1 and 2 are presented in Table 2 and Fig. 2 shows the water channel 1.
Pressure 1 atm Dynamic Viscosity 8.90E-04 kg/m*s Thermal Conductivity 0.6069 W/m*K Thermal Expansion 2.57E-04 1/K Thermal and CFD respectively, are coupled with the static mechanical simulation.
The numerical simulations allow the evaluation of the temperature distribution and the induced displacements.
Online since: October 2011
Authors: Yong Gui Dong, Fei Fan Chen, Hong Cai Li
The air flow rate and temperature distribution simulated by CFD (Computational Fluid Dynamics) software, and the results are consistent with that of experimental test.
Heat steady-state test and simulation The heating power of the system should be keep constant during the unsteady-state heat conduction test.
According to the experimental parameters, the temperature and air flow rate distribution of system in heat steady-state has been simulated by 6SigmaDC (CFD software, Future Facilities Co.), and the simulation results are shown in Fig. 4.
Simulatuon results by CFD software Ti1 To2 Ti2 To1 (a).
The simulation results of system air flow rate and temperature distribution by 6SigmaDC are consistent with the experimental test values.
Heat steady-state test and simulation The heating power of the system should be keep constant during the unsteady-state heat conduction test.
According to the experimental parameters, the temperature and air flow rate distribution of system in heat steady-state has been simulated by 6SigmaDC (CFD software, Future Facilities Co.), and the simulation results are shown in Fig. 4.
Simulatuon results by CFD software Ti1 To2 Ti2 To1 (a).
The simulation results of system air flow rate and temperature distribution by 6SigmaDC are consistent with the experimental test values.