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Online since: September 2013
This book covers these topics: Acoustics and Noise
Control, Aerodynamics, Applied Mechanics, Automation, Mechatronics and
Robotics, Automobiles, Automotive Engineering, Ballistics, Biomechanics,
Biomedical Engineering, CAD/CAM/CIM, CFD, Composite and Smart
Materials, Compressible Flows, Computational Mechanics, Computational
Techniques, Dynamics and Vibration, Energy Engineering and Management,
Engineering Materials, Fatigue and Fracture, Fluid Dynamics, Fluid Mechanics
and Machinery, Fracture, Fuels and Combustion, General mechanics,
Geomechanics, Health and Safety, Heat and Mass Transfer, HVAC,
Instrumentation and Control, Internal Combustion Engines, Machinery and
Machine Design, Manufacturing and Production Processes, Marine System
Design, Material Engineering, Material Science and Processing, Mechanical
Design, Mechanical Power Engineering, Mechatronics, MEMS and Nano
Technology, Multibody Dynamics, Nanomaterial Engineering, New and
Renewable Energy, Noise
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, Oil and Gas Exploration, Operations Management, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.
and Vibration, Noise Control, Non-destructive Evaluation, Nonlinear Dynamics, Oil and Gas Exploration, Operations Management, PC guided design and manufacture, Plasticity Mechanics, Pollution and Environmental Engineering, Precision mechanics, Mechatronics, Production Technology, Quality assurance and environment protection, Resistance and Propulsion, Robotic Automation and Control, Solid Mechanics, Structural Dynamics, System Dynamics and Simulation, Textile and Leather Technology, Transport Phenomena, Tribology, Turbulence and Vibrations.
Online since: September 2013
Authors: Tie Yan, Xiao Feng Sun, Jun Bo Qu, Li Wang
Numerical simulation for gas-liquid two-phase flow along the borehole after air cutting
Xiaofeng Sun1,a , Junbo Qu1,b , Tie Yan1,c ,Li Wang1,d
1Key Laboratory of Enhancing Oil and Gas Recovery in Ministry of Education,NorthEast Petroleum University,Daqing,Heilongjiang ,China 163318
asuneye@126.com,bqjbday@126.com, cyant@nepu.edu.cn, dqjbsir@163.com
Keywords: Numerical simulation; Gas kick;Gas kick simulation; Well control
Abstract.
Analysis of the simulation results The simulation results of group1,group2,group3 are similar, when gas invasion with fixed displacement at the speed of 0.005kg/m3, gas groups gathere at the wellbore bottom and then become large taylor bubbles during the period 0~1second[4]. 9 seconds after gas invasion, bottom of the wellbore forms stable bubble flow, distribution of gas-liquid two-phase close to steady state, bubbles disperses evenly, this process is similar to the air-underbalanced drilling, pressure of bottom hole is roughly constant.
Pressures of bottom hole vary hole and wellhead f conbination 1 distribution of combination 4 characteristics of different combinations Conclusions Establish the physical model to simulate accidents of well bottom and apply the numerical simulation methods to decrease equations, it provides very good ways to solve the transient problems of gas cut, and canrepeat the development process from gas cut to blowout .
Quantitatively calculate the different amount of gas cut and the distribution parameters of downhole ,and it is a important reference to recognize the time of flow pattern transition and the rule of blowout.When simulation gas cut under different boundary conditions, the pressure of bottom hole decreases with the increasing time of gas cut; when the quality of gas cut is constant, pressure of hole bottom begans to keep constant after reaching the minimum and no longer drop; when the pressure of gas cut is certain, pressures of bottom hole appear a significant turning point after reaching the minimum, then fluid form annular flow pattern,the process is more closer to the actual situation of blowout.
Computational fluid dynamics and Principle & application of CFD software Tsinghua university press, 2004:P 1-111, in Chinese
Analysis of the simulation results The simulation results of group1,group2,group3 are similar, when gas invasion with fixed displacement at the speed of 0.005kg/m3, gas groups gathere at the wellbore bottom and then become large taylor bubbles during the period 0~1second[4]. 9 seconds after gas invasion, bottom of the wellbore forms stable bubble flow, distribution of gas-liquid two-phase close to steady state, bubbles disperses evenly, this process is similar to the air-underbalanced drilling, pressure of bottom hole is roughly constant.
Pressures of bottom hole vary hole and wellhead f conbination 1 distribution of combination 4 characteristics of different combinations Conclusions Establish the physical model to simulate accidents of well bottom and apply the numerical simulation methods to decrease equations, it provides very good ways to solve the transient problems of gas cut, and canrepeat the development process from gas cut to blowout .
Quantitatively calculate the different amount of gas cut and the distribution parameters of downhole ,and it is a important reference to recognize the time of flow pattern transition and the rule of blowout.When simulation gas cut under different boundary conditions, the pressure of bottom hole decreases with the increasing time of gas cut; when the quality of gas cut is constant, pressure of hole bottom begans to keep constant after reaching the minimum and no longer drop; when the pressure of gas cut is certain, pressures of bottom hole appear a significant turning point after reaching the minimum, then fluid form annular flow pattern,the process is more closer to the actual situation of blowout.
Computational fluid dynamics and Principle & application of CFD software Tsinghua university press, 2004:P 1-111, in Chinese
Online since: October 2011
Authors: Chao Bang Yao, Wen Cai Dong
Wu Chen-sheng [10] presented a numerical simulation method of free ship model towed in still water, the comparison results of resistance, sinkage and trim show good agreement with those of experiments.
It has been selected as a benchmark case for CFD computations of ship resistance.
Numerical simulation on hydrodynamic characteristic of a trunk ship[J].
CFD Calculation for Resistance of a Ship Moving near the Critical Speed in Shallow Water[J].
Numerical simulation of free ship model towed in still water[J].
It has been selected as a benchmark case for CFD computations of ship resistance.
Numerical simulation on hydrodynamic characteristic of a trunk ship[J].
CFD Calculation for Resistance of a Ship Moving near the Critical Speed in Shallow Water[J].
Numerical simulation of free ship model towed in still water[J].
Online since: June 2013
Authors: Yong Gang Yu, Yan Huang Zhou, Xin Lu
Modeling and Numerical Investigations for Launching a Free-flight Models Using Light-gas Propulsion Technology
LU Xina, ZHOU Yan-huangb and YU Yong-gangc
School of Energy and Power Engineering, Nanjing University of Science and Technology
Nanjing, China, 210094
aluxin@mail.njust.edu.cn, bzhouyh@mail.njust.edu.cn, cyyg801@mail.njust.edu.cn
Keywords: Two-stage light-gas launcher; Mathematical model; Numerical simulation; Launching performance
Abstract.
The development of the CFD simulation and new instrumentation measurement techniques have aided greatly in obtaining a better understanding of the complex internal ballistic processes, as evidenced by the large gains in velocity that have been achieved in the last decade.
The control equations in pump tube are as follows: 1) Continuity equation (6) In Eq. 6, and are density and velocity of helium gas in pump tube respectively, and is cross-sectional area of pump tube. 2) Momentum equation (7) In Eq. 7, is pressure of helium gas in pump tube, and are drag coefficient and pressure loss factor respectively, and are diameter and length of light-gas chamber respectively. 3) Energy equation (8) In Eq. 8, is specific internal energy of helium gas, and Nu are thermal conductivity and Nusselt number of helium respectively, and are helium temperature and wall temperature respectively. 4) State equation of light-gas (9) In Eq. 9, and are specific heat ratio and covolume of helium. 2 Numerical Simulation Results A 30mm/120mm light-gas launcher is taken for numerical simulation using the mathematical model established in the above section.
Fig. 2 The variation of calculated piston and Fig. 3 The variation of calculated pressure on projectile velocity versus time pump versus time Fig. 4 The variation of calculated piston velocity Fig. 5 The variation of calculated projectile along with pump tube velocity along with launch tube Summary From the numerical simulation above, it can be seen that the predicted results show the general characters and trends about the firing process of two-stage light-gas launcher.
The development of the CFD simulation and new instrumentation measurement techniques have aided greatly in obtaining a better understanding of the complex internal ballistic processes, as evidenced by the large gains in velocity that have been achieved in the last decade.
The control equations in pump tube are as follows: 1) Continuity equation (6) In Eq. 6, and are density and velocity of helium gas in pump tube respectively, and is cross-sectional area of pump tube. 2) Momentum equation (7) In Eq. 7, is pressure of helium gas in pump tube, and are drag coefficient and pressure loss factor respectively, and are diameter and length of light-gas chamber respectively. 3) Energy equation (8) In Eq. 8, is specific internal energy of helium gas, and Nu are thermal conductivity and Nusselt number of helium respectively, and are helium temperature and wall temperature respectively. 4) State equation of light-gas (9) In Eq. 9, and are specific heat ratio and covolume of helium. 2 Numerical Simulation Results A 30mm/120mm light-gas launcher is taken for numerical simulation using the mathematical model established in the above section.
Fig. 2 The variation of calculated piston and Fig. 3 The variation of calculated pressure on projectile velocity versus time pump versus time Fig. 4 The variation of calculated piston velocity Fig. 5 The variation of calculated projectile along with pump tube velocity along with launch tube Summary From the numerical simulation above, it can be seen that the predicted results show the general characters and trends about the firing process of two-stage light-gas launcher.
Online since: September 2011
Authors: Qing Li, Zhi Yong Nie
A computer simulation of the CIPD building helped the architects understand how to protect the west-facing atrium from solar glare.
In this case, the Computational Fluid Dynamics (CFD) and dynamic thermal energy (DTE) modeling was used to predict air movement and temperature distribution.
DTE modeling was used to study the overall energy and environmental performance of the building, followed by detailed microclimate simulations.
CFD simulations were undertaken to examine the operation of the natural ventilation concept, in particular in respect of the five ventilation shafts.
Dynamic computer simulations were carried out to assist with optimized system sizing.
In this case, the Computational Fluid Dynamics (CFD) and dynamic thermal energy (DTE) modeling was used to predict air movement and temperature distribution.
DTE modeling was used to study the overall energy and environmental performance of the building, followed by detailed microclimate simulations.
CFD simulations were undertaken to examine the operation of the natural ventilation concept, in particular in respect of the five ventilation shafts.
Dynamic computer simulations were carried out to assist with optimized system sizing.
Online since: October 2013
Authors: Ya Chao Di, Jing Lei Xu, Xing Chen Shao, Qing Yang, Ge Gao
The results show that the method is correct and provides a reference for the simulation of the unsteady multi-body separation.
1.
Numerical simulation of multi-body separation is faced with many challenging issues, mainly due to the impact of moving boundaries, so the grid needs to generate constantly.
Complex overlapping grid method and multi-body motion unsteady flow simulation[D].
Numerical simulation of unsteady flows around aircrafts experiencing forced motion and free-flight[D].
CFD Wing/Pylon/Finned Store mutual interference wind tunnel experiment[R].
Numerical simulation of multi-body separation is faced with many challenging issues, mainly due to the impact of moving boundaries, so the grid needs to generate constantly.
Complex overlapping grid method and multi-body motion unsteady flow simulation[D].
Numerical simulation of unsteady flows around aircrafts experiencing forced motion and free-flight[D].
CFD Wing/Pylon/Finned Store mutual interference wind tunnel experiment[R].
Online since: June 2014
Authors: Zi Yue Wu, Jie Qi, Kang Gao
The analysis method has solved the problem of multi-coupling analysis numerical simulation.
The analysis of Computational Fluid Dynamics-CFD Software principle and application, Tsinghua University Press, (2004), in press
Fluid analysis and Simulation of ANSYS CFX, Electronic Industry Press,(2012), in press
The analysis of Computational Fluid Dynamics-CFD Software principle and application, Tsinghua University Press, (2004), in press
Fluid analysis and Simulation of ANSYS CFX, Electronic Industry Press,(2012), in press
Online since: June 2014
Authors: Ai Hua Zhu
Finally, an analogue simulation is carried out in fluent to analyze the velocity of the blade, the backpressure and turbulence generated by the airflow on the blade.
Finally, through the fluent, make a simulation analysis of the velocity of the airflow on the blades, the backpressure generated by the airflow on the blade, as well as the turbulence generated.
Preprocessor of Fluent, gambit software is a flexible and easy to use and powerful meshing tool, users can divide the mesh to meet CFD’s special needs.
Mesh establishment and simulation have been carried out respectively by using the circular straight pipe as fluid flow passage.
Numerical Simulation on Internal Flow Field of a Two-stage Adjustable Movable Blade Axial Flow Fan , Journal of Power Engineering, 2013(11):871~878
Finally, through the fluent, make a simulation analysis of the velocity of the airflow on the blades, the backpressure generated by the airflow on the blade, as well as the turbulence generated.
Preprocessor of Fluent, gambit software is a flexible and easy to use and powerful meshing tool, users can divide the mesh to meet CFD’s special needs.
Mesh establishment and simulation have been carried out respectively by using the circular straight pipe as fluid flow passage.
Numerical Simulation on Internal Flow Field of a Two-stage Adjustable Movable Blade Axial Flow Fan , Journal of Power Engineering, 2013(11):871~878
Online since: July 2014
Authors: Jiang Li, Guo Qiang He, Yang Liu, Shao Bin Li
Focused on the operation performance of the compressor, the detailed flow structure in the compressor was investigated by using numerical simulation.
As a trade-off of compressor efficiency and matching performance with turbine and other components, CFD Research Corporation (CFDRC) confirms the single stage mixed-flow compressor for the ground prototype of ATR [2].
All the numerical simulations in this paper are performed by solving the steady compressible Navier-Stokes equation using the ANSYS CFX software package.
And the characteristic curve of the compressor is calculated by numerical simulation through regulating the back pressure.
Summary In this paper, the aerodynamic design, characteristic analysis and numerical simulation of mixed-flow compressor for SPATR are performed.
As a trade-off of compressor efficiency and matching performance with turbine and other components, CFD Research Corporation (CFDRC) confirms the single stage mixed-flow compressor for the ground prototype of ATR [2].
All the numerical simulations in this paper are performed by solving the steady compressible Navier-Stokes equation using the ANSYS CFX software package.
And the characteristic curve of the compressor is calculated by numerical simulation through regulating the back pressure.
Summary In this paper, the aerodynamic design, characteristic analysis and numerical simulation of mixed-flow compressor for SPATR are performed.
Online since: August 2013
Authors: Yong Min Chen
CFD Model
Clear Water Field Simulation.
VOF(Volume of Fluid Model) is adopted for the simulation of gas-liquid two-phase flow[2].
Correspondingly, the numerical simulation of the same condition was carried out simultaneously.
(a) Measurement by PIV; (b) Simulation.
In order to compare the simulation results with the field measurement, numerical simulation model was built in actual size of CSO chamber that is 1.5m×2m×7.55m in x, y, z direction respectively.
VOF(Volume of Fluid Model) is adopted for the simulation of gas-liquid two-phase flow[2].
Correspondingly, the numerical simulation of the same condition was carried out simultaneously.
(a) Measurement by PIV; (b) Simulation.
In order to compare the simulation results with the field measurement, numerical simulation model was built in actual size of CSO chamber that is 1.5m×2m×7.55m in x, y, z direction respectively.