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Online since: August 2013
Authors: Xiao Yan Zhang, Fang Fang Jiang, Shan Yuan Zhao, Wen Fei Tian, Xiao Hang Chen
Using the model of VOF, a numerical simulation was done on oil-water two phase flow for spiral pipe and its spiral flow characteristics was got by Zhaoyang Li et al [9].
A numerical simulation was conducted to investigate convective heat transfer from small and compact spiral coil pipes heat exchangers by Contr Ibrahima et al [11].
The experiment and CFD estimation of heat transfer coefficient of spiral coil was studied by Zhiguang Chen et al [13].
The convective heat transfer coefficient of spiral tube heat exchanger is experimentally measured, and the numerical simulation of temperature field around the spiral tube is carried out by Zhiguang Chen et al [14].
In literature [15], CFD simulation using FLUENT software were carried out for the analysis of local heat transfer characterizes of water and steam in helically-coiled tubes with different geometries, such as tube diameter, coil diameter and pitch.
A numerical simulation was conducted to investigate convective heat transfer from small and compact spiral coil pipes heat exchangers by Contr Ibrahima et al [11].
The experiment and CFD estimation of heat transfer coefficient of spiral coil was studied by Zhiguang Chen et al [13].
The convective heat transfer coefficient of spiral tube heat exchanger is experimentally measured, and the numerical simulation of temperature field around the spiral tube is carried out by Zhiguang Chen et al [14].
In literature [15], CFD simulation using FLUENT software were carried out for the analysis of local heat transfer characterizes of water and steam in helically-coiled tubes with different geometries, such as tube diameter, coil diameter and pitch.
Online since: October 2011
Authors: C. Aghanajafi, R. Mehdipour, Z. Baniamerian, A. Ashrafizadeh
Heat transfer simulation is the first step for designing paint cure ovens.
Ashrafizadeh et al. [8] simulated ED paint cure oven 3dimensionally by applying CFD and compared their achieved results with experimental ones.
Network Model [10] along with CFD and zone methods is another simulating technique.
Further details of the simulation are provided in work of Mehdipour et al [14].
Rezvani, “Numerical Simulation of Convective Heat Transfer in a Continuous Paint Cure Oven,” CANCAM Conference, Halifax, Canada, 2009
Ashrafizadeh et al. [8] simulated ED paint cure oven 3dimensionally by applying CFD and compared their achieved results with experimental ones.
Network Model [10] along with CFD and zone methods is another simulating technique.
Further details of the simulation are provided in work of Mehdipour et al [14].
Rezvani, “Numerical Simulation of Convective Heat Transfer in a Continuous Paint Cure Oven,” CANCAM Conference, Halifax, Canada, 2009
Online since: December 2011
Authors: Yan Zhou, Xiao Hui Liu, Qing Ling Li
The Results and Analyses of the Numerical Simulation
The Settings of Calculated Parameters.
Viscosity model and Solidification/Melting model are used in the simulation.
The Analyses of Simulation Results.
The unsteady conjugate numerical simulation of the system is done by Fluent.
[3] ZHOU Yan, LI Jie-hao and LI Qing-ling, in: The CFD Simulation of the Solar Chimney Power Plant System Relying on High Buildings, Vol.25, No.2 of Journal of Engineering for Thermal Energy and Power (2010), p: 226-229
Viscosity model and Solidification/Melting model are used in the simulation.
The Analyses of Simulation Results.
The unsteady conjugate numerical simulation of the system is done by Fluent.
[3] ZHOU Yan, LI Jie-hao and LI Qing-ling, in: The CFD Simulation of the Solar Chimney Power Plant System Relying on High Buildings, Vol.25, No.2 of Journal of Engineering for Thermal Energy and Power (2010), p: 226-229
Online since: October 2013
Authors: Bei Hua Cong, Xin Han, Xin Na Li
On the other hand, CFD (Computational Fluid Dynamics) simulations are increasingly used to estimate the effects of fires in road tunnels.
FDS model of road tunnel Simulation Scenario.
Analysis of Simulation Results for Temperature Field 2 3 4 Fig.8.
As for fans activating time, nine simulation scenarios are set.
McGrattan: Numerical Simulation of the Caldecott Tunnel fire, April 1982.
FDS model of road tunnel Simulation Scenario.
Analysis of Simulation Results for Temperature Field 2 3 4 Fig.8.
As for fans activating time, nine simulation scenarios are set.
McGrattan: Numerical Simulation of the Caldecott Tunnel fire, April 1982.
Online since: January 2012
Authors: Hong Fu Qiang, Shuang Wu Gao, Wei Zhou, Peng Peng Wu
Early solve this coupled problem usually use a steady or quasi-steady method[5].J.C.Wang[6] used a simplified engineering approach by which the average pressure are used to compute the displacement at some key points to define the shape of the structure and the development of a multi-disciplinary CFD code to simulate Titan IV 7-segment solid rocket motor transient flowfield.
The large eddy simulation model is used in the flow field.
Effect of Nozzle Cavity on Resonance in Large SRM: Numerical Simulations,Journal of Propulsion and power, 19(2003) 374-384
[8] B.Wasistho, R.Fiedler, A.Namazifard, et al. 3-D Coupled Simulations of Flexible Inhibitors in the RSRM,AIAA 2005-3996
Pressure Oscillation in P230 SRM: Numerical Simulation,AIAA 2006-4423
The large eddy simulation model is used in the flow field.
Effect of Nozzle Cavity on Resonance in Large SRM: Numerical Simulations,Journal of Propulsion and power, 19(2003) 374-384
[8] B.Wasistho, R.Fiedler, A.Namazifard, et al. 3-D Coupled Simulations of Flexible Inhibitors in the RSRM,AIAA 2005-3996
Pressure Oscillation in P230 SRM: Numerical Simulation,AIAA 2006-4423
Online since: August 2011
Authors: Feng Guo Liu, Qi Wang, Wen Bo Liu, Rui Zhang, Xue Yi You
With the advance of reaction science and computer performance, mathematical modeling is working for comprehensive simulation of CO formation to provide a valuable tool to study the insight and understanding of the CO reaction of combustion systems.
With the development of high speed computer and chemical kinetics, it is possible to conduct numerical simulations of flames considering the detailed kinetics schemes.
Fig. 1 Geometry of the fire hole board of burner Table 1 Geometries of fire hole board (mm) H L1 L2 L3 L4 L5 L6 L7 0.5 5 3 6 5 1 1 1 CFD modeling of the combustor The Model Combustors.
The simulation provides the detailed insight of the CO concentration formation and its relation between the maximum flame temperature, flame average temperature and burner exit temperature.
With the development of high speed computer and chemical kinetics, it is possible to conduct numerical simulations of flames considering the detailed kinetics schemes.
Fig. 1 Geometry of the fire hole board of burner Table 1 Geometries of fire hole board (mm) H L1 L2 L3 L4 L5 L6 L7 0.5 5 3 6 5 1 1 1 CFD modeling of the combustor The Model Combustors.
The simulation provides the detailed insight of the CO concentration formation and its relation between the maximum flame temperature, flame average temperature and burner exit temperature.
Online since: January 2013
Authors: Yang Li, Kai Yao, Ke Li Xing
According to the simulation results, the power unit is optimized.
Structure of the high-speed filling valve Flow Field Simulation.
Before the simulation, some basic parameters should be set according to the actual valve.
The simulation covers the entire flow range.
Based on the simulation of the pressure distribution and the analysis of the impact stress, the valve is optimized.
Structure of the high-speed filling valve Flow Field Simulation.
Before the simulation, some basic parameters should be set according to the actual valve.
The simulation covers the entire flow range.
Based on the simulation of the pressure distribution and the analysis of the impact stress, the valve is optimized.
Online since: November 2012
Authors: Ashraf El Damatty, Ayman M. El Ansary, Chris Ladubec
The behaviour is studied using downburst wind field data obtained from a computational fluid dynamics (CFD) model.
Using a downburst wind field based on CFD analysis by Hangan et al. [4], Shehata [5] identified several critical downburst configurations that resulted in peak axial loads developed in the angle section members of a guyed lattice tower.
The downburst wind field used in the current study was developed through computational fluid dynamic (CFD) analysis by Hangan et al. [4].
For a complete description of the CFD model, the reader is referred to Hangan et al. [4], Shehata [5], and Shehata et al. [6].
“Downburst simulation.
Using a downburst wind field based on CFD analysis by Hangan et al. [4], Shehata [5] identified several critical downburst configurations that resulted in peak axial loads developed in the angle section members of a guyed lattice tower.
The downburst wind field used in the current study was developed through computational fluid dynamic (CFD) analysis by Hangan et al. [4].
For a complete description of the CFD model, the reader is referred to Hangan et al. [4], Shehata [5], and Shehata et al. [6].
“Downburst simulation.
Online since: March 2015
Authors: De Sheng Zhou, Yuan Zhou
I take advantage of the proposed three-dimensional fracture design analysis software to discrete fracture network model, applied to the horizontal well fracturing segment multibank instance, the optimal formation parameters obtained by fitting the history, the conclusion that the optimal production simulation by every half-length.
The best history matching parameter table Iterative times No-dimensional flow-capacity (Cfd) propant extent (m) resevior permeability (mD) reservior drainable area (k㎡) reservior aspect ratio (X/Y) fracture conductivity,kfwf (mD·m) 3 7.14459 229.6 0.18 0.946756 0.597397 295.231 Using the parameters in Table 1, historical fitting out, assuming the horizontal section length is 836m, fracturing 11 segments, and each segment lengths are equal, then the period length is 76m, the cluster distance is 24m, the value of the input data in many cases cracks, cracks and fixed dimensionless conductivity remains unchanged.
Combining with the production simulation after 5 years of production information table, make support fracture length and the corresponding relationship between cumulative yield curve, can be obtained by analyzing the optimal value.
History matching results with 4 micro-seismic monitoring of fracture length 268.5m big difference, after analyzing the results may be due to the following two points: ①Development status of the micro crack formation cannot be considered in the simulation, so the simulation and micro seismic interpretation has a certain gap. ②Micro earthquake for a collection recording crack signal, and can not fully reflect the final derivative underground sand filling pressure of fracture network.
The best history matching parameter table Iterative times No-dimensional flow-capacity (Cfd) propant extent (m) resevior permeability (mD) reservior drainable area (k㎡) reservior aspect ratio (X/Y) fracture conductivity,kfwf (mD·m) 3 7.14459 229.6 0.18 0.946756 0.597397 295.231 Using the parameters in Table 1, historical fitting out, assuming the horizontal section length is 836m, fracturing 11 segments, and each segment lengths are equal, then the period length is 76m, the cluster distance is 24m, the value of the input data in many cases cracks, cracks and fixed dimensionless conductivity remains unchanged.
Combining with the production simulation after 5 years of production information table, make support fracture length and the corresponding relationship between cumulative yield curve, can be obtained by analyzing the optimal value.
History matching results with 4 micro-seismic monitoring of fracture length 268.5m big difference, after analyzing the results may be due to the following two points: ①Development status of the micro crack formation cannot be considered in the simulation, so the simulation and micro seismic interpretation has a certain gap. ②Micro earthquake for a collection recording crack signal, and can not fully reflect the final derivative underground sand filling pressure of fracture network.
Online since: February 2012
Authors: Shi Chun Yang, Yun Qing Li, Yan Hua Wang
Different flow characteristics were calculated in the simulation.
Numerical simulation is a reliable method to achieve the flow characteristics at nozzle orifice.
Numerical model for simulation Different configuration of swirl nozzle was used in simulation listed in table1.
In the simulation study, Injection pressure was 8MPa.
Eulerian multiphase module was used for the simulation of multiphase flows.
Numerical simulation is a reliable method to achieve the flow characteristics at nozzle orifice.
Numerical model for simulation Different configuration of swirl nozzle was used in simulation listed in table1.
In the simulation study, Injection pressure was 8MPa.
Eulerian multiphase module was used for the simulation of multiphase flows.