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Online since: September 2013
Authors: Jie Qin, Ming Yu Zhang
(a) Common projectile (b) Developed diameter 148mm
Fig.2 Physical models
3.2 Establishment of calculation simulation models
1) Select laminar a flow model from FLUENT, the upwind scheme is the second order upwind scheme.
Simulation results are shown in Fig.5~ Fig.6.
Fig.5Relation curve of resistance Fig. 6 Relation curve of resistance coefficient and angle of attack at Ma=0.6 coefficient and Mach number at α=4 4.2 Analysis on simulation results 1) When Mach number is fixed, the variation tendency of resistance coefficient with the angle of attack corresponding to different developed areas is basically consistent.
Conclusion In this paper, the purpose to correct trajectory is realized by means of controlling the developed area of the resistance circle, and the force situations of common standard projectile and correction projectile are calculated with CFD software.
Command Control and Simulation. 2009(6), 31(3) [8] Guanglin He, Baohua Ma, Linfeng Li, Jing Su: Damping Correction Mechanism of One dimensional Trajectory Correction Fuse [J].
Simulation results are shown in Fig.5~ Fig.6.
Fig.5Relation curve of resistance Fig. 6 Relation curve of resistance coefficient and angle of attack at Ma=0.6 coefficient and Mach number at α=4 4.2 Analysis on simulation results 1) When Mach number is fixed, the variation tendency of resistance coefficient with the angle of attack corresponding to different developed areas is basically consistent.
Conclusion In this paper, the purpose to correct trajectory is realized by means of controlling the developed area of the resistance circle, and the force situations of common standard projectile and correction projectile are calculated with CFD software.
Command Control and Simulation. 2009(6), 31(3) [8] Guanglin He, Baohua Ma, Linfeng Li, Jing Su: Damping Correction Mechanism of One dimensional Trajectory Correction Fuse [J].
Online since: September 2013
Authors: Cheng Hung Lin, Jium Ming Lin
The third one is simulation and discussion.
Simulation and Discussion In this section we use ESI-CFD+ software for simulation.
Giani, Thermal simulation and experimental results of a micromachined thermal inclinometer, Sensors and Actuators A, Physical. 141 (2008) 307-313
Simulation and Discussion In this section we use ESI-CFD+ software for simulation.
Giani, Thermal simulation and experimental results of a micromachined thermal inclinometer, Sensors and Actuators A, Physical. 141 (2008) 307-313
Online since: June 2012
Authors: Wei Yi Zhang, Yang Li, Chun Hui Li, Xi Shan Pan, Rui Jie Li
Wind-Wave Numerical Prediction Model in East China Sea
XiShan Pan1,a, Ruijie Li1,b, Yang Li2,c, Chunhui Li1,d and Weiyi Zhang1,e
1Key Laboratory of Coastal Disaster and Defence (Hohai University), Ministry of Education,Nanjing, 210098, China
2Fujian Port & Waterway Survey and Design Institute, Fuzhou, 350002, China
apxs0702@sina.com, brjli@hhu.edu.cn, cfd_billy@hotmail.com, d381266950@qq.com, ezwy16521@163.com
Keywords: wind field; WRF model; WW3 model; wave prediction;
Abstract.
As the driving force, wind plays a key role in wave calculation and numerical simulation.
So, the study on wind field simulation in Chinese sea has important practical significance.
Finally, the paper uses the calculation result by WAVEWATCHⅢ Model to analyse the simulation ability of the wave field with different wind fields condition in the East China Sea[10].
In order to reduce the influence of simulation accuracy with cold start, the proving time range is chosen from 00:00:00 to 18:00:00 of January 4th in 2009.
As the driving force, wind plays a key role in wave calculation and numerical simulation.
So, the study on wind field simulation in Chinese sea has important practical significance.
Finally, the paper uses the calculation result by WAVEWATCHⅢ Model to analyse the simulation ability of the wave field with different wind fields condition in the East China Sea[10].
In order to reduce the influence of simulation accuracy with cold start, the proving time range is chosen from 00:00:00 to 18:00:00 of January 4th in 2009.
Online since: March 2012
Authors: Zhi Jie Tang, Qing Bo He, Shu Ai Wang, Jun Luo, Jia Li Shen
At present, the method of getting hydrodynamic coefficients mainly contain the following 4 methods: estimating with theories and experience; simulating with fluid dynamic software(CFD) ; testing with underwater vehicle model and system identification of real navigation data.
Transfer Function and System Calibration According to "Study of Standard Motion Equation Used for underwater vehicle Simulation", which was published by Taylor Naval Ships Research and Development Center in 1967, we could get space motion equations.
What's more, we did a simulation whose result show it's a stable system.
[3] Li Guang-lei, Zhou Yong-yu, Chen Yong-bing, Han Bing, Zhou Gang, in: Simplification and Simulation of a underwater vehicle's Motion Model for Control, edited by Ship and Ocean Engineering, voI.37 No.6(2008)
[5] Zhang Lixun, in: Simulation and Design of Electromechanical Systems(2006).
Transfer Function and System Calibration According to "Study of Standard Motion Equation Used for underwater vehicle Simulation", which was published by Taylor Naval Ships Research and Development Center in 1967, we could get space motion equations.
What's more, we did a simulation whose result show it's a stable system.
[3] Li Guang-lei, Zhou Yong-yu, Chen Yong-bing, Han Bing, Zhou Gang, in: Simplification and Simulation of a underwater vehicle's Motion Model for Control, edited by Ship and Ocean Engineering, voI.37 No.6(2008)
[5] Zhang Lixun, in: Simulation and Design of Electromechanical Systems(2006).
Online since: January 2014
Authors: Antônio Gilson Barbosa de Lima, Severino Rodrigues de Farias Neto, Daniela Passos Simões de Almeida Tavares, Morgana A. Vasconcellos
Evaluation of Multiphase Flow in the Presence of Leak in Oil Pipelines: Modeling and Simulation
Daniela P.
The physico-chemical properties of the fluids at 293 K used in the simulations are shown in Table 2.
Simulations were done in two stages.
The maximum simulation time was 1 second with time step of 0.001 s.
It is understood that the pre-leak corresponds to the initial condition used in the simulation.
The physico-chemical properties of the fluids at 293 K used in the simulations are shown in Table 2.
Simulations were done in two stages.
The maximum simulation time was 1 second with time step of 0.001 s.
It is understood that the pre-leak corresponds to the initial condition used in the simulation.
Online since: September 2014
Authors: Shi Min Zhang, Feng Niu, Jin Jun Zhang, Yi Ding
Simulation of hydraulic characteristic of injecting cable into coiled tubing
Ding Yi1,aNiu Feng1,b Zhang Shimin1,cZhang Jinjun1,d
1.
College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing Campus,18 Fuxue Road, Changping, Beijing China 102249 a2013214568@student.cup.edu.cn,b2012214009@student.cup.edu.cn,czsm7481976@163.com Keywords:cable injection, coiled tubing, downhole monitoring, hydraulic simulation Abstract.In order to control and monitor downhole equipment, it is needed to inject cable into coiled tubing.
See Fig.14, use CFD module of Workbench to after treat model of inward diverging at entrance part and model Fig. 13.
During the stage of fluid state simulation the cable is suppressed and hidden initially to calculate fluid’s pressure distribution in coiled tubing only.
From inward diverging 20mm to outward diverging 20mm, deformation ascends initially and reaches its first peak value at point of entrance inward diverging 14mm, then descends and reaches its partial minimum at point of entrance inward diverging 10mm, then ascends again and reaches its maximum of whole simulation range at point of entrance outward diverging 5mm, and keeps descending subsequently until point of entrance outward diverging 20mm and reaches its minimum of whole simulation range.
College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing Campus,18 Fuxue Road, Changping, Beijing China 102249 a2013214568@student.cup.edu.cn,b2012214009@student.cup.edu.cn,czsm7481976@163.com Keywords:cable injection, coiled tubing, downhole monitoring, hydraulic simulation Abstract.In order to control and monitor downhole equipment, it is needed to inject cable into coiled tubing.
See Fig.14, use CFD module of Workbench to after treat model of inward diverging at entrance part and model Fig. 13.
During the stage of fluid state simulation the cable is suppressed and hidden initially to calculate fluid’s pressure distribution in coiled tubing only.
From inward diverging 20mm to outward diverging 20mm, deformation ascends initially and reaches its first peak value at point of entrance inward diverging 14mm, then descends and reaches its partial minimum at point of entrance inward diverging 10mm, then ascends again and reaches its maximum of whole simulation range at point of entrance outward diverging 5mm, and keeps descending subsequently until point of entrance outward diverging 20mm and reaches its minimum of whole simulation range.
Online since: December 2013
Authors: Azize Akcayoglu, Halil Cebeci, Celal Nazli
Simulations are carried out by using a finite volume code, ANSYS FLUENT 14.5.
In all simulations, the flow Reynolds number based on the hydraulic diameter of the duct is set to 5000.
The simulation results contain different element sizes (number of tetrahedral cells used in the domain) between 2 million and 9 million.
Therefore, the rest of the simulations are performed using the mesh containing 7 million element size.
The model coefficients C1, C2, Cm, sk, se are kept as the same in all simulations.
In all simulations, the flow Reynolds number based on the hydraulic diameter of the duct is set to 5000.
The simulation results contain different element sizes (number of tetrahedral cells used in the domain) between 2 million and 9 million.
Therefore, the rest of the simulations are performed using the mesh containing 7 million element size.
The model coefficients C1, C2, Cm, sk, se are kept as the same in all simulations.
Online since: May 2016
Authors: Ye Lu, Shusheng Zhang
Liu Zhaomiao used CFD simulations to study on the influence of blood flow on thrombosis in Y-shape coronary artery [11].
Numerical modeling of simulated blood flow in idealized composite arterial coronary grafts: Steady state simulations [J].
Communications in Nonlinear Science and Numerical Simulation, 2008, Vol. 13: 1615-1626
Three-Dimensional Numerical Simulations of flow through a Stenosed Coronary Bypass., journal of biomechanics. 2001, Vol. 34: 1049-1064 [10] Quarteroni.
Numerical modeling of simulated blood flow in idealized composite arterial coronary grafts: Steady state simulations [J].
Communications in Nonlinear Science and Numerical Simulation, 2008, Vol. 13: 1615-1626
Three-Dimensional Numerical Simulations of flow through a Stenosed Coronary Bypass., journal of biomechanics. 2001, Vol. 34: 1049-1064 [10] Quarteroni.
Online since: December 2013
Authors: Nik Rosli Abdullah, Rizalman Mamat, Abdul Adam Abdullah, Amir Aziz, Shafiq Suhaimi
Many works have been done [4][5][6][7] and simulations have been done [8][9][10][11] in finding out the ways that a swirl air motion can be created.
[8] Hans Seifert, “A mathematical model for simulation of processes in an internal combustion engine,” 1979, Acta Astronautica Vol. 6 [9] Mont Hubbard, “Dynamic Computer Simulation of An Engine Intake and Carburation System”, [10] Maria Dybeck, “CFD-procedures for Air Induction Systems”, Master of Science in Engineering Technology Space Engineering [11] Ramin Gilani “Engine Simulation Model for a Formula SAE Race Car”, Applied Design, Development, Correlation and Optimization
[8] Hans Seifert, “A mathematical model for simulation of processes in an internal combustion engine,” 1979, Acta Astronautica Vol. 6 [9] Mont Hubbard, “Dynamic Computer Simulation of An Engine Intake and Carburation System”, [10] Maria Dybeck, “CFD-procedures for Air Induction Systems”, Master of Science in Engineering Technology Space Engineering [11] Ramin Gilani “Engine Simulation Model for a Formula SAE Race Car”, Applied Design, Development, Correlation and Optimization
Online since: June 2018
Authors: Houssem Laidoudi
Abstract. 2D simulation is carried out to determine exactly the effect of blockage ratio on the flow and mixed convection heat transfer characteristics of Newtonian fluid around a square cylinder confined in horizontal channel, the numerical study is investigated in the range of these conditions: Re = 10 to 30, Ri = 0 to 1 and blockage ratio β = 1/10 to 1/2.
The laminar steady regime, the numerical simulation is carried out for the range of conditions as: Re = 1 to 40, Pr = 0.71 to 50, Ri = 0 to 4 and blockage parameter β = 16.67% to 50%.
The simulations are carried out for Re = 10 to 30, Ri = 0 to 1 and blockage ratio β = 1/10 to 1/2 at fixed value of Pr = 1.
(11) Numerical Procedure The numerical simulation is carried out by using the commercial CFD package ANSYS-CFX.
Fig. 2: Typical grid used for simulation.
The laminar steady regime, the numerical simulation is carried out for the range of conditions as: Re = 1 to 40, Pr = 0.71 to 50, Ri = 0 to 4 and blockage parameter β = 16.67% to 50%.
The simulations are carried out for Re = 10 to 30, Ri = 0 to 1 and blockage ratio β = 1/10 to 1/2 at fixed value of Pr = 1.
(11) Numerical Procedure The numerical simulation is carried out by using the commercial CFD package ANSYS-CFX.
Fig. 2: Typical grid used for simulation.