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Online since: June 2016
Authors: Sam Syamsuri
Before performing simulations on the main case decompression tank then first performed by grid independent test to validate the simulation results from the study by another researcher.
Thus, the simulation is correct and feasible to carry out simulations with different variations of compressibility.
This proves that the step from the simulation is already appropriately so worthy to be used for simulation study. 2.
CFD Simulation of Subcooled Flow Boiling using OpenFOAM.
Two phase pipe flow simulations with OpenFOAM.
Thus, the simulation is correct and feasible to carry out simulations with different variations of compressibility.
This proves that the step from the simulation is already appropriately so worthy to be used for simulation study. 2.
CFD Simulation of Subcooled Flow Boiling using OpenFOAM.
Two phase pipe flow simulations with OpenFOAM.
Online since: September 2014
Authors: Yan Jun Zhao, Wen Qing Ge, Bo Li, Bin Bin Sun
To investigate the device’s flow characteristics, the CFD numerical simulation models of the injection device with different structural and controlling parameters were built and related bench tests of the gas fuel engine equipped with the injection system were completed.
To comprehensively optimize the development accuracy, period and cost, both the methods of bench test and CFD simulation were adopted to confirm the flow rate characteristics.
As shown in Figure 3 and Figure 4, the test platform of the flow rate characteristics and simulation grid were built.
After massive numecrical simulation, the final flow formula was confirmed as G=0.05(Δt-Δt1) on the condition that the minimal injection width was double size of the transit time, which ,in practice, could be meet in the majority engine operating conditions as the gas fuel engine is applied as an heavy-power stationary powerplant.
(2) The simulation models and test bench of the injection device were established.
To comprehensively optimize the development accuracy, period and cost, both the methods of bench test and CFD simulation were adopted to confirm the flow rate characteristics.
As shown in Figure 3 and Figure 4, the test platform of the flow rate characteristics and simulation grid were built.
After massive numecrical simulation, the final flow formula was confirmed as G=0.05(Δt-Δt1) on the condition that the minimal injection width was double size of the transit time, which ,in practice, could be meet in the majority engine operating conditions as the gas fuel engine is applied as an heavy-power stationary powerplant.
(2) The simulation models and test bench of the injection device were established.
Online since: October 2011
Authors: An Gui Li, Hai Wei Jing
Gan and Riffat[5] investigated The performance of a glazed solar chimney for heat recovery in naturally-ventilated buildings was investigated using the CFD technique.
The probe was placed at 70-126 points at the chimney channel 1m above the chimney inlet.A computational fluid dynamic(CFD) [6] numerical simulation showed that at this position,the influence of disturbances from the chimney inlet and the reverse flow from the chimney outlet were small,and the airflow are essentially parallel to the chimney wall.The reverse flow was enlarged with the increase of the width of the chimney.Through moving the probe in the chimney cross-section 1m above the chimney inlet,the velocity of any position at the level surface were obtained.
Fig.5,Fig.6 and Fig.7 show the comparison of numerical simulation[6] and experimental airflow rate through the chimney width and 200,300 and400W/m2 heat input.
Comparison of experimental and numerical simulation airflow rate through numerica simulation airflow rate through chimey width with 200W/㎡heat input.
Fig.7 Comparison of experimental and Fig.8 Temperature distributions across chimney numerical simulation airflow rate through width at different height above the chimney inlet chimey width with 400W/㎡heat input.
The probe was placed at 70-126 points at the chimney channel 1m above the chimney inlet.A computational fluid dynamic(CFD) [6] numerical simulation showed that at this position,the influence of disturbances from the chimney inlet and the reverse flow from the chimney outlet were small,and the airflow are essentially parallel to the chimney wall.The reverse flow was enlarged with the increase of the width of the chimney.Through moving the probe in the chimney cross-section 1m above the chimney inlet,the velocity of any position at the level surface were obtained.
Fig.5,Fig.6 and Fig.7 show the comparison of numerical simulation[6] and experimental airflow rate through the chimney width and 200,300 and400W/m2 heat input.
Comparison of experimental and numerical simulation airflow rate through numerica simulation airflow rate through chimey width with 200W/㎡heat input.
Fig.7 Comparison of experimental and Fig.8 Temperature distributions across chimney numerical simulation airflow rate through width at different height above the chimney inlet chimey width with 400W/㎡heat input.
Online since: July 2008
Authors: Peter Unseld, Mathias Liewald
Numerical simulations of physical phenomena regarding the Fluid- Structure
Interaction are topics of several research projects.
Using the explicit monolithic FSI-simulation within ANSYS CFX a bidirectional transient coupling with the ANSYS multiphysics solver was evaluated.
Results of the fluid dynamic simulations have been correlated with simulation of structural mechanics.
`CSM´ displays the resulting deformation of the fibre fabric depending on the fluid flow (row `CFD´).
CFD CSM Fig. 8.
Using the explicit monolithic FSI-simulation within ANSYS CFX a bidirectional transient coupling with the ANSYS multiphysics solver was evaluated.
Results of the fluid dynamic simulations have been correlated with simulation of structural mechanics.
`CSM´ displays the resulting deformation of the fibre fabric depending on the fluid flow (row `CFD´).
CFD CSM Fig. 8.
Online since: August 2013
Authors: Bin Guo, Zhao Du, Jing Han, Shao Zuo Meng
Simulation Analysis on Industrial Wastewater Adjust Pool Stench in Collecting Hood with Properties of Environmental Materials
Zhao Du1,2,a,Jing Han2,b,Bin Guo2,c,Shao Zuo Meng2,d
1School of Environmental Science and Engineering, Tianjin University,
Tianjin 300072, People’s Republic of China
2School of Environmental Science and Engineering, Hebei University of Science and Technology,
Shijiazhuang Hebei 050018, People’s Republic of China
aduzhao12@163.com,bhgxhjj@163.com,cgbin69@163.com, d563868878@qq.com
Keywords: Wastewater, Gas-collecting Hood, CFD
Abstract.
Using fluent software module to the model of flow field simulation, Speziale, studies have shown that [6], the standard kappa epsilon - predominate turbulence model is a simulation indoor 3 d gas turbulence model is good.
Method adopted standards kappa epsilon model predominate is a semi-empirical formula, wide applicable scope, economic and reasonable accuracy, the model put forward by Launder, a default after a lot of experimental summary, is now widely used in industrial flow field simulation.
Simulation results At z = 0.9 m above the liquid level of the static pressure contours (Fig.3) and velocity contours (Fig.4), the concentration of cloud image (Fig.5), the concentration of x = 10 m cloud image (Fig.6).
From simulation report, regulating pool gas-collecting hood distribution of pressure in the range 0.652~0.144 Pa, the velocity distribution range 0~0.617 m/s, hydrogen sulfide molar concentration of 0 ~ 0.040 kmol/m3, can take a breath when induced air negative pressure is 600 Pa 472 m3/h.
Using fluent software module to the model of flow field simulation, Speziale, studies have shown that [6], the standard kappa epsilon - predominate turbulence model is a simulation indoor 3 d gas turbulence model is good.
Method adopted standards kappa epsilon model predominate is a semi-empirical formula, wide applicable scope, economic and reasonable accuracy, the model put forward by Launder, a default after a lot of experimental summary, is now widely used in industrial flow field simulation.
Simulation results At z = 0.9 m above the liquid level of the static pressure contours (Fig.3) and velocity contours (Fig.4), the concentration of cloud image (Fig.5), the concentration of x = 10 m cloud image (Fig.6).
From simulation report, regulating pool gas-collecting hood distribution of pressure in the range 0.652~0.144 Pa, the velocity distribution range 0~0.617 m/s, hydrogen sulfide molar concentration of 0 ~ 0.040 kmol/m3, can take a breath when induced air negative pressure is 600 Pa 472 m3/h.
Online since: August 2011
Authors: Zhong Min Wan, Zu Yi Zheng, Huan Xin Chen, Jun Liu, Ting Xiang Jin
Flow characteristics and deficiency of air duct for original floor standing air-conditioner are analyzed, and the optimal schemes of air duct are raised and numerical simulation has been carried on to obtain aerodynamic characteristic of the new air duct.
In the present work, a numerical simulation of an air duct of floor standing air-conditioner is carried out to investigate the inner flow characteristics inside the air duct with the FLUENT commercial CFD code.
Numerical simulation of air duct system Fig. 1 shows the structure of original air duct of Floor Standing air-conditioner.
The results of numerical simulation indicate that volume flow rate of new air duct is promoted by 6.1%.
The numerical results agree well with the experimental results, which indicate the feasibility of the computational model and the numerical method used in the simulation.
In the present work, a numerical simulation of an air duct of floor standing air-conditioner is carried out to investigate the inner flow characteristics inside the air duct with the FLUENT commercial CFD code.
Numerical simulation of air duct system Fig. 1 shows the structure of original air duct of Floor Standing air-conditioner.
The results of numerical simulation indicate that volume flow rate of new air duct is promoted by 6.1%.
The numerical results agree well with the experimental results, which indicate the feasibility of the computational model and the numerical method used in the simulation.
Online since: December 2013
Authors: Xiao Bin Yang, Zhi Long Chen, Hao Cai
Nanjing 210007, China
a yangxiaobin1985@gmail.com, b chen-zl@vip.163.com, c caihaohvac@gmail.com
Keywords: underground parking; residential quarter; microclimate; Computational Fluid Dynamics(CFD); Envi-met.
Research methods and digital model Microclimate simulation software.
This paper use Microclimate simulation software - Envi-met to simulation analysis the environmental benefits of underground parking to urban residential area.
The initial value of simulation is shown as Table 3.
Table 3 Inputs of simulation initial value of simulation Typical Meteoro- logical Day Initial atmos- pheric tempe- rature (K) Relative humidity Wind velocity (m/s) Wind direction (degree) Outdoor atmospheric pressure (Pa) initial time Total simulation time (h) 6.23 (Summer) 294.95 80% 2.4 157.5 100250 6:00 12 12.23 (Winter) 274.25 66% 3.2 67.5 102790 Fig.6.The temperature cloud atlas of 1.2m above the ground of plan Ⅰand plan Ⅱat 12:00 Fig.7.Hourly air temperature curve comparison chart in summer Fig.8.Hourly air temperature curve comparison chart in winter Simulation results and analysis Temperature field.
Research methods and digital model Microclimate simulation software.
This paper use Microclimate simulation software - Envi-met to simulation analysis the environmental benefits of underground parking to urban residential area.
The initial value of simulation is shown as Table 3.
Table 3 Inputs of simulation initial value of simulation Typical Meteoro- logical Day Initial atmos- pheric tempe- rature (K) Relative humidity Wind velocity (m/s) Wind direction (degree) Outdoor atmospheric pressure (Pa) initial time Total simulation time (h) 6.23 (Summer) 294.95 80% 2.4 157.5 100250 6:00 12 12.23 (Winter) 274.25 66% 3.2 67.5 102790 Fig.6.The temperature cloud atlas of 1.2m above the ground of plan Ⅰand plan Ⅱat 12:00 Fig.7.Hourly air temperature curve comparison chart in summer Fig.8.Hourly air temperature curve comparison chart in winter Simulation results and analysis Temperature field.
Online since: September 2013
Authors: Qi Zhou, Dong Xia Li, Peng Lin, Zhe Liu
Single Vortex Simulation Around A Square Cylinder
Zhe Liu1, a, Peng Lin1,b, Qi Zhou1,c and Dongxia Li2,b
1School of Civil Engineering, Shantou University, No.243 Daxue Road, Shantou , Guangdong Province, P.R.China, 515063
2School of Civil Engineering, Central South University, No.147 Shaoshan Road, Changsha, Hunan Province, P.R.China, 410075
aliuzhe@stu.edu.cn, bzhouqi@stu.edu.cn, clinpeng@stu.edu.cn
Keywords: Unsteady flow, Single vortex, Unsteady RANS model
Abstract.
In recent years, the numerical simulation method based On Computational Fluid Dynamics (CFD) becomes possible and turbulence modelling has to be adopted to converge the Navier-Stokes equations.
The mathematical model for the velocity at radiusin thedirection in the Rankine vortex can be described as (6) The high Reynolds numberturbulence can be described as: (7) (8) And the eddy viscosity is obtained from (9) Simulation case Fig.1 shows the boundary condition in the computational domain.
The maximum grid space is 0.02m, and the minimum grid space is 0.01m.The Reynolds number, the simulation time, and time step or other simulation parameters can be seen in Table 1.
Before performing the single vortex simulation, the case without single vortex firstly was carried out.
In recent years, the numerical simulation method based On Computational Fluid Dynamics (CFD) becomes possible and turbulence modelling has to be adopted to converge the Navier-Stokes equations.
The mathematical model for the velocity at radiusin thedirection in the Rankine vortex can be described as (6) The high Reynolds numberturbulence can be described as: (7) (8) And the eddy viscosity is obtained from (9) Simulation case Fig.1 shows the boundary condition in the computational domain.
The maximum grid space is 0.02m, and the minimum grid space is 0.01m.The Reynolds number, the simulation time, and time step or other simulation parameters can be seen in Table 1.
Before performing the single vortex simulation, the case without single vortex firstly was carried out.
Online since: October 2014
Authors: Dong Long Lin, Zhao Pang, Ke Xin Zhang, Shuang You
The precision of simulation is related to model’s accuracy.
The simulation of static pressure around each cross-section in the same time is shown in Fig. 8.
Numerical simulation review of blade of wind turbine.Electrical Technology,2010,07:7-11+18
[2] Sezer-Uzol N,Long L,3-D time-accurate CFD simulations of wind turbine rotor flow fields.
[4] Bazilevs Y,Hsu M-C,Kiendl J,Wüchner R,Bletzinger K-U. 3D simulation of wind turbine rotors at full scale.
The simulation of static pressure around each cross-section in the same time is shown in Fig. 8.
Numerical simulation review of blade of wind turbine.Electrical Technology,2010,07:7-11+18
[2] Sezer-Uzol N,Long L,3-D time-accurate CFD simulations of wind turbine rotor flow fields.
[4] Bazilevs Y,Hsu M-C,Kiendl J,Wüchner R,Bletzinger K-U. 3D simulation of wind turbine rotors at full scale.
Online since: April 2008
Authors: Gerard de Leede, Rik Koch, Vincent Bouwman, Gertjan Kloosterman
During simulation of
blowing of the glass, the mesh has to be adapted due to the extreme deformations of the mesh.
Remeshing Glass forming has not been done that often with a Finite Element Approach (FEM), since the material behavior lies somewhere between a fluid, which is the domain of Computational Fluid Dynamics (CFD) and a solid, which is the domain of FEM.
The simulation of the complete blow-blow process is simplified and consists in this example of the following stages: 1.
In Figure 3 these measured temperatures are given together with the results of the simulations.
The final shape of the bottle is obtained in the last stage of the simulation sequence, the 'finalblow'.
Remeshing Glass forming has not been done that often with a Finite Element Approach (FEM), since the material behavior lies somewhere between a fluid, which is the domain of Computational Fluid Dynamics (CFD) and a solid, which is the domain of FEM.
The simulation of the complete blow-blow process is simplified and consists in this example of the following stages: 1.
In Figure 3 these measured temperatures are given together with the results of the simulations.
The final shape of the bottle is obtained in the last stage of the simulation sequence, the 'finalblow'.