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Online since: October 2011
Authors: Song Ying Chen, Jun Jie Mao, Fu Chao Xie
China
achensy66@sdu.edu.cn, bxiefuchao2004@163.com.cn, ctfyt_123@163.com.cn
Keywords: Gasoline Blending; Numerical Simulation; Side-entering Agitators.
For the present, gasoline blending is mainly achieved by mechanical agitations especially side-entering agitators in the oil refinery, the mixing process of which could be able to predict by using modern technologies such as CFD.
Most of the CFD simulations focused on jet mixing or top entering mixers and less works have carried out on the performance of side-entering mixers.
A A Dakhel and M Rahimi [3] studied the homogenization time of two layers of crude oils in 19000 m³ floating roof storage tank using CFD, and the results showed good agreement with experiment data.
In summary, it can be said the numerical simulation of side-entering agitators have not been carried out in the process of gasoline blending.
For the present, gasoline blending is mainly achieved by mechanical agitations especially side-entering agitators in the oil refinery, the mixing process of which could be able to predict by using modern technologies such as CFD.
Most of the CFD simulations focused on jet mixing or top entering mixers and less works have carried out on the performance of side-entering mixers.
A A Dakhel and M Rahimi [3] studied the homogenization time of two layers of crude oils in 19000 m³ floating roof storage tank using CFD, and the results showed good agreement with experiment data.
In summary, it can be said the numerical simulation of side-entering agitators have not been carried out in the process of gasoline blending.
Online since: June 2013
Authors: Cai Hua Wang, Xue Qin Zhang, Jian Feng Wu
CFD numerical simulation
The control equation.The control equations is in reference(Sun et al.2006).
[2] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].
“The simulation and analysis of the low building wind pressure distribution.”
“The mean wind pressure distribution characteristics numerical simulation in saddle roof.”
“Numerical simulation of wind load shape coefficient.”
[2] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].
“The simulation and analysis of the low building wind pressure distribution.”
“The mean wind pressure distribution characteristics numerical simulation in saddle roof.”
“Numerical simulation of wind load shape coefficient.”
Online since: October 2010
Authors: Jin Ping Shi, Pei Quan Guo, Kai Lu
By means of computer simulation for the flow field, the condition of swirling cavitation formation and the shape of cavitation distribution were analyzed with CFD software.
Numerical simulation and experimental verification have been done.
Then, use CFD (Computational Fluid Dynamics) software to create its mesh model by finite volume method.
Simulation result shows that the zone with pressure lower than saturated vapor tension can be formed, and simulation flow rate is 0.671173L/s.
Simulation results of device amplified 10 times is illustrated in Fig. 4.
Numerical simulation and experimental verification have been done.
Then, use CFD (Computational Fluid Dynamics) software to create its mesh model by finite volume method.
Simulation result shows that the zone with pressure lower than saturated vapor tension can be formed, and simulation flow rate is 0.671173L/s.
Simulation results of device amplified 10 times is illustrated in Fig. 4.
Online since: July 2014
Authors: Sangamesh M. Hosur, D.K. Ramesha, Suman Basu
OpenFOAM is a free, open source Computational Fluid Dynamics (CFD) software package.
Therefore an attractive alternative is to use Computational Fluid Dynamics (CFD) to obtain the essential hydrodynamic quantities needed for engineering design.
Numerical Simulation Flow simulation is carried out by using OpenFoam.
To get the log of the simulation we need to type pimpleFoam > log.
Nomenclature U∞ Free stream velocity (m/s) D Diameter of the cylinder (m) ν Kinematic viscosity (m2/s) Δt time step (s) Δx Minimum cell distance in x – direction (m) k Turbulent kinetic energy (m2/s2) ε Turbulent dissipation rate (m2/s3) I Turbulent Intensity (%) β Turbulent viscosity ratio Co Courant number CD Co-efficient of drag CL Co-efficient of lift St Strouhal No Uy Velocity in Y- direction (m/s) OpenFOAM Open source Field Operation and Manipulation URANS Unsteady Reynolds Averaged Simulations CFD Computational Fluid Dynamics SIMPLE Semi-Implicit Method for Pressure-Linked Equations PISO Pressure Implicit with Splitting of Operators LES Large Eddy Simulations DNS Direct Numerical Simulation References [1] Achenbach E.
Therefore an attractive alternative is to use Computational Fluid Dynamics (CFD) to obtain the essential hydrodynamic quantities needed for engineering design.
Numerical Simulation Flow simulation is carried out by using OpenFoam.
To get the log of the simulation we need to type pimpleFoam > log.
Nomenclature U∞ Free stream velocity (m/s) D Diameter of the cylinder (m) ν Kinematic viscosity (m2/s) Δt time step (s) Δx Minimum cell distance in x – direction (m) k Turbulent kinetic energy (m2/s2) ε Turbulent dissipation rate (m2/s3) I Turbulent Intensity (%) β Turbulent viscosity ratio Co Courant number CD Co-efficient of drag CL Co-efficient of lift St Strouhal No Uy Velocity in Y- direction (m/s) OpenFOAM Open source Field Operation and Manipulation URANS Unsteady Reynolds Averaged Simulations CFD Computational Fluid Dynamics SIMPLE Semi-Implicit Method for Pressure-Linked Equations PISO Pressure Implicit with Splitting of Operators LES Large Eddy Simulations DNS Direct Numerical Simulation References [1] Achenbach E.
Online since: May 2014
Authors: Xue Wei Liu, Kai Luo, Lei Ming, Li Min Song, Jun Jin
Numerical Simulation on Computational Model of Hypersonic Slip Flow
Liu Xuewei c, Luo Kai b, Ming Lei b, Song Limin b and Jin Jun c
Aviation University of Air Force, Changchun, Jilin, China
alisong_1@126.com, bliminsong_2001@163.com, climi_2014@sina.com
Keywords: hypersonic; slip flow; computational model; numerical simulation
Abstract.
The distribution of velocity and temperature in Knudsen layer are nonlinear about which the slip model can provide approximate simulation to some extend.
Computational model This research developed a general 3D, parallel, structured, finite-volume CFD code based on 3D N-S governing equations, using M-AUSMPW+ scheme[2] and LU-SGS implicit time integration scheme[3].
Numerical Simulation on The Effects of Hypersonic Slip Flow[C].
Near Space CFD Seminar, Beijing, 2010
The distribution of velocity and temperature in Knudsen layer are nonlinear about which the slip model can provide approximate simulation to some extend.
Computational model This research developed a general 3D, parallel, structured, finite-volume CFD code based on 3D N-S governing equations, using M-AUSMPW+ scheme[2] and LU-SGS implicit time integration scheme[3].
Numerical Simulation on The Effects of Hypersonic Slip Flow[C].
Near Space CFD Seminar, Beijing, 2010
Online since: February 2012
Authors: Li Wen Wang, Jie Tang, Dian Rong Gao
By analyzing simulation results, the influence of the orifice parameters on the performance of the orifice is clear.
The flow pressure distribution of the fixed throttle orifice is shown in Fig.3 according to the CFD calculation.
Fig.7 shows the characteristic curve of the fixed throttle orifice using CFD analysis.
By simulation comparison, it is d1 = 0.21, d2 = 1.6, L = 0.65, θ = 90 ° that the corresponding electro-hydraulic servo valve has the best performance
Simulation of the Pressure Field for Transient Flow Through a Pipe Orifice.
The flow pressure distribution of the fixed throttle orifice is shown in Fig.3 according to the CFD calculation.
Fig.7 shows the characteristic curve of the fixed throttle orifice using CFD analysis.
By simulation comparison, it is d1 = 0.21, d2 = 1.6, L = 0.65, θ = 90 ° that the corresponding electro-hydraulic servo valve has the best performance
Simulation of the Pressure Field for Transient Flow Through a Pipe Orifice.
Online since: December 2013
Authors: Azmahani Sadikin, Norasikin Mat Isa, J.A.R. Bansin
An experimental result used to validate the Computational Fluid Dynamics (CFD) result.
In conclusion, the two sets of data indicate good agreement and show the utility of CFD as a rating and design tool for coal pulveriser manufacturers.
separation area turret vortex finder vane outlet intlet Fig. 1: The Design description Model Formulation for CFD The simplified classifier model was created by using Solidworks.
Details of the simulation conditions are listed in table the below (Table 1).
Table 1: Simulation conditions Description Value Comment Operating gas velocity · Inlet Velocity Gas density, ρg Gas viscosity, μg 13 m/s 1.225 kg/m3 1.789 kg/ms tangential inlet Air Air Viscous Model Turbulent Model (Realizable k-ε Model) Solution 3-D Double Precision Boundary Conditions · Inlet · Outlet Velocity inlet is 13 m/s Pressure outlet is zero ( P atm) Hydraulic Diameter 0.24 m The meshed geometry contained 134198 nodes and 455677 cells of tetrahedral grids.
In conclusion, the two sets of data indicate good agreement and show the utility of CFD as a rating and design tool for coal pulveriser manufacturers.
separation area turret vortex finder vane outlet intlet Fig. 1: The Design description Model Formulation for CFD The simplified classifier model was created by using Solidworks.
Details of the simulation conditions are listed in table the below (Table 1).
Table 1: Simulation conditions Description Value Comment Operating gas velocity · Inlet Velocity Gas density, ρg Gas viscosity, μg 13 m/s 1.225 kg/m3 1.789 kg/ms tangential inlet Air Air Viscous Model Turbulent Model (Realizable k-ε Model) Solution 3-D Double Precision Boundary Conditions · Inlet · Outlet Velocity inlet is 13 m/s Pressure outlet is zero ( P atm) Hydraulic Diameter 0.24 m The meshed geometry contained 134198 nodes and 455677 cells of tetrahedral grids.
Online since: January 2014
Authors: Wei Gang Huang, Jing Ji Li, Hai Rui Yang
., Urumqi 830000, China
2Department of Thermal Engineering, Tsinghua University, Beijing 100084, China
alijingji11@mails.tsinghua.edu.cn, byhr@mail.tsinghua.edu.cn
Keywords: SCR, SNCR, CFD, 300MWe, CFB
Abstract.
By employing the CFD method, the different urea distributions inside the cyclone are illustrated and the layout of 10 nozzles for each cyclone is optimized to the outer side of cyclone inlet.
Therefore, the Computational Fluid Dynamics (CFD) method is employed to optimize the parameters mentioned above.
Parts of the CFD calculation conditions are summarized in Table 4.
There are also several different simulation cases, but we only take these two typical ones as an example here.
By employing the CFD method, the different urea distributions inside the cyclone are illustrated and the layout of 10 nozzles for each cyclone is optimized to the outer side of cyclone inlet.
Therefore, the Computational Fluid Dynamics (CFD) method is employed to optimize the parameters mentioned above.
Parts of the CFD calculation conditions are summarized in Table 4.
There are also several different simulation cases, but we only take these two typical ones as an example here.
Online since: December 2025
Authors: Omonigho B. Otanocha, Stanley Ufuoma Idi, Silas Oseme Okuma, Benjamin Ufuoma Oreko
Fixture position and Pressure direction indication.
2.4 Computational Fluid Dynamics (CFD) Simulation
A Computational Fluid Dynamics (CFD) simulation study were conducted to analyze heat distribution within the designed water atomizer machine during full-capacity operation for aluminum powder production [23, 24].
The configuration shown in Figure 7 was maintained throughout the CFD study.
CFD Domain Size.
CFD Domain Size.
Simulation Results.
The configuration shown in Figure 7 was maintained throughout the CFD study.
CFD Domain Size.
CFD Domain Size.
Simulation Results.
Online since: March 2016
Authors: Dong Li Lv, Tao Zhang
Erosion Behavior of Blooie Line in Gas Drilling
Dongli Lv1,a, Tao Zhang2,b
1School of Material Science and Engineering, Southwest Petroleum University,
Chengdu 610500, China
2School of Oil & Natural Gas Engineering, Southwest Petroleum University,
Chengdu 610500, China
alvl393@163.com, bzhangt@swpu.edu.cn,
Keywords: Gas drilling, Blooie line, Erosion, CFD, Erosion model.
Computational Fluid Dynamics (CFD) technology is adopted to solve the flow field in the bend pipe and the erosion laws of the pipeline wall are predicted coupling material erosion model.
CFD model There are three steps to simulate the erosion behavior of rock fragments entrained by the gas flow impacting the solid wall: CFD simulation of the gas flow field, the particle trajectory tracking and the erosion rate of the solid wall calculation.
In the step of the flow field simulation, the pipe flow distribution can be obtained by solving the Reynolds Averaged NS equation (RANS) and the closed turbulence model.
In the simulation of turbulent flow with a strong rotation, RNG turbulent model has higher precision.
Computational Fluid Dynamics (CFD) technology is adopted to solve the flow field in the bend pipe and the erosion laws of the pipeline wall are predicted coupling material erosion model.
CFD model There are three steps to simulate the erosion behavior of rock fragments entrained by the gas flow impacting the solid wall: CFD simulation of the gas flow field, the particle trajectory tracking and the erosion rate of the solid wall calculation.
In the step of the flow field simulation, the pipe flow distribution can be obtained by solving the Reynolds Averaged NS equation (RANS) and the closed turbulence model.
In the simulation of turbulent flow with a strong rotation, RNG turbulent model has higher precision.