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Online since: May 2012
Authors: Huang Hsing Pan, Po Chang Lee, Chuan Tsung Lee, Ray Yeng Yang
Marine engineers also have been used CFD to simulate ship flow to realize the flow field of a ship under the same conditions as with tank experiments [10].
In this CFD simulation, effects of attack angle of underwater vehicle rudders without propeller are investigated.
Simulated results were calculated by CFD computations for the non steady state when the vehicle submerged, shown in Table 1, where flow velocity of 1.0 m/sec was applied to the rudder.
This result is the same as CFD simulations.
Fig. 7 Optimum angles at 0.65 m/sec current Conclusions The tested underwater vehicle with two rudders working in Kuroshio for carrying generators was investigated by CFD simulation and the experiments.
In this CFD simulation, effects of attack angle of underwater vehicle rudders without propeller are investigated.
Simulated results were calculated by CFD computations for the non steady state when the vehicle submerged, shown in Table 1, where flow velocity of 1.0 m/sec was applied to the rudder.
This result is the same as CFD simulations.
Fig. 7 Optimum angles at 0.65 m/sec current Conclusions The tested underwater vehicle with two rudders working in Kuroshio for carrying generators was investigated by CFD simulation and the experiments.
Online since: September 2024
Authors: Antônio José da Silva Neto, Roseane A.S. Albani, Vinícius V.L. Albani, Juan Pablo C.L. Salazar
The flow simulation emulated the Cedval A1-1 single-building experiment and the
concentration distribution for two scenarios was synthetically produced by simulation.
When pollutant releases occur over urban sites Computational Fluid Dynamics (CFD) is usually applied to solve the dispersion model.
CFD can naturally include complicated boundary geometries, initial conditions, chemical reactions, deposition processes, etc.
The model implementation is performed within the CFD commercial software Ansys Fluent.
The flow simulation emulates the Cedval A1-1 single building experiment [7].
When pollutant releases occur over urban sites Computational Fluid Dynamics (CFD) is usually applied to solve the dispersion model.
CFD can naturally include complicated boundary geometries, initial conditions, chemical reactions, deposition processes, etc.
The model implementation is performed within the CFD commercial software Ansys Fluent.
The flow simulation emulates the Cedval A1-1 single building experiment [7].
Online since: February 2014
Authors: Shan Ling Han, Zhi Yong Li, Ru Xing Yu, Jin Bin Li
Simulation Research on Aerodynamic Characteristics of Vehicle under Steady Crosswind based on XFlow
Shanling Han1, a, Zhiyong Li1, b, Jinbin Li1,c , Ruxing Yu1, d
1 College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, P.R.China
aS.L.HAN@163.com, blzy5552270@163.com, c2008zibolijinbin@163.com, dyrxheroo@163.com,
Keywords: Steady crosswind, Aerodynamic characteristics, XFlow, Simulation
Abstract.
E.Guilmineau et al have used CFD software with the relative motion theory to simulate the yawing motion and gained how the surface pressure coefficient changed[3].
By direct calculation of the fluid density and velocity, the influence of statistical noise on the simulation results is eliminated.
The Xflow software is a new generation CFD software which developed by Next Limit cooperation, using patented, particle-based, non-matching method that can easily handle the traditional complex problems.
Xflow overcomes many drawbacks of the traditional CFD method, it adopts the dynamics solver of LBM[6], which is characterized by modern large-eddy simulation model (LES) modeling capabilities and is equipped with advanced non-equilibrium isolated model.
E.Guilmineau et al have used CFD software with the relative motion theory to simulate the yawing motion and gained how the surface pressure coefficient changed[3].
By direct calculation of the fluid density and velocity, the influence of statistical noise on the simulation results is eliminated.
The Xflow software is a new generation CFD software which developed by Next Limit cooperation, using patented, particle-based, non-matching method that can easily handle the traditional complex problems.
Xflow overcomes many drawbacks of the traditional CFD method, it adopts the dynamics solver of LBM[6], which is characterized by modern large-eddy simulation model (LES) modeling capabilities and is equipped with advanced non-equilibrium isolated model.
Online since: August 2013
Authors: Guan Wei Zhang, Xiao Fei Dong, Bin Lin
With the development of computational fluid mechanics and related fluid mechanics simulation software, the fluid mechanics simulation technology has gradually been used in sliding bearing performance analyses.
So-called CFD (Computational Fluid Dynamics) technique refers to Computational Fluid Dynamics [2].
At present, commonly used CFD software include: Fluent, CFX, star- CD, etc.
Fig.2 Model of lubricant flow field Simulation analysis of lubricant pressure field.
XU: CFD simulation and engineering examples(People Post Press Press,Beijing 2011).
So-called CFD (Computational Fluid Dynamics) technique refers to Computational Fluid Dynamics [2].
At present, commonly used CFD software include: Fluent, CFX, star- CD, etc.
Fig.2 Model of lubricant flow field Simulation analysis of lubricant pressure field.
XU: CFD simulation and engineering examples(People Post Press Press,Beijing 2011).
Online since: August 2011
Authors: Jing Fu Jia, Wei He
Simulation Study on Heat Insulating Material used in Refrigerated
Cargo Hold Shipboard of Fishing Vessel
Jingfu Jia1, a, Wei He1, b
1Ocean College of Hebei Agricultural University, Qinhuangdao, Hebei, 066003, China
ajjf0369@163.com, bhappyheyusong@sina.com
Keywords: Heat Insulating Material, Refrigerated Cargo Hold of Fishing Vessel, Shipboard, Steady State Three-dimensional Heat Transfer, Numerical Simulation, Heat-transfer Property.
After defining the boundary conditions of the model according to the heat-transfer process of the shipboard, numerical simulations with different heat insulating material are performed using computational fluid dynamics (CFD) software PHOENICS.
Numerical simulations with different heat insulating material are performed using CFD software PHOENICS and the obtained temperature distributions are analyzed.
Simulation results and analyzing Simulation results of the heat-transfer model.
When fiberglass, polystyrene foam or rigid polyurethane foam is used as the heat insulating material of the model respectively, and the other simulation conditions are not changed, numerical simulations of the heat-transfer model of the shipboard are performed using PHOENICS software.
After defining the boundary conditions of the model according to the heat-transfer process of the shipboard, numerical simulations with different heat insulating material are performed using computational fluid dynamics (CFD) software PHOENICS.
Numerical simulations with different heat insulating material are performed using CFD software PHOENICS and the obtained temperature distributions are analyzed.
Simulation results and analyzing Simulation results of the heat-transfer model.
When fiberglass, polystyrene foam or rigid polyurethane foam is used as the heat insulating material of the model respectively, and the other simulation conditions are not changed, numerical simulations of the heat-transfer model of the shipboard are performed using PHOENICS software.
Online since: August 2011
Authors: Vadim Seleznev, Vladimir Kiselev, Sergey Pryalov
One of the most promising ways to resolve the above problem is to use high-accuracy computational fluid dynamics (CFD) simulators of modes of gas mixture transmission through long, branched pipeline systems (CFD-simulator) [1].
Such CFD-simulators form the basis of computational kernel for Gas Distribution Discrepancy Computer Analytical System (CAS).
As noted above, the time interval of interest in numerical simulations of problem (1) is divided into time steps, 0,…, Nt.
References [1] Seleznev, V.E.: Numerical Simulation of a Gas Pipeline Network Using Computational Fluid Dynamics Simulators.
[2] Seleznev, V.E.: Numerical monitoring of natural gas distribution discrepancy using CFD-simulator.
Such CFD-simulators form the basis of computational kernel for Gas Distribution Discrepancy Computer Analytical System (CAS).
As noted above, the time interval of interest in numerical simulations of problem (1) is divided into time steps, 0,…, Nt.
References [1] Seleznev, V.E.: Numerical Simulation of a Gas Pipeline Network Using Computational Fluid Dynamics Simulators.
[2] Seleznev, V.E.: Numerical monitoring of natural gas distribution discrepancy using CFD-simulator.
Online since: June 2011
Authors: Geng Chen Shi, Shao Chun Sun
Numerical Simulations
In order to verify the prediction formulas and get an accurate performance data of the turbine machine, commercial CFD (Computational Fluid Dynamics) software is used with FEA (Finite Element Analysis).
Based on the simulations with CFD software, accurate driving torque and driving power are got.
Buffard: Axial-Flow Microturbine with Electromagnetic Generator: Design, CFD Simulation, and Prototype Demonstration. 17th IEEE International Conference on Micro Electro Mechanical Systems, (2004), p. 568
Dhariwal: Experimental and Simulation Analysis of Microturbines.
Dhariwal: Modelling and Simulation of A Fluid-Driven Microturbine.
Based on the simulations with CFD software, accurate driving torque and driving power are got.
Buffard: Axial-Flow Microturbine with Electromagnetic Generator: Design, CFD Simulation, and Prototype Demonstration. 17th IEEE International Conference on Micro Electro Mechanical Systems, (2004), p. 568
Dhariwal: Experimental and Simulation Analysis of Microturbines.
Dhariwal: Modelling and Simulation of A Fluid-Driven Microturbine.
Online since: May 2015
Authors: Panagiotis Kyratsis, Athanasios Manavis
Different researchers have developed a variety of simulation methodologies.
Drilling Simulations CAD based simulation has been applied in a number of different applications.
The effect of the friction development was investigated with FE simulations as well.
Zhang et al. [6] presented a CAD/CFD method in order to optimize the design parameters of the chip removal structure in deep-hole drilling.
Li, Optimisation design of chip removal structure in the deep-hole drilling based on CAD/CFD, 4th International Seminar on Modern Cutting and Measurement Engineering.
Drilling Simulations CAD based simulation has been applied in a number of different applications.
The effect of the friction development was investigated with FE simulations as well.
Zhang et al. [6] presented a CAD/CFD method in order to optimize the design parameters of the chip removal structure in deep-hole drilling.
Li, Optimisation design of chip removal structure in the deep-hole drilling based on CAD/CFD, 4th International Seminar on Modern Cutting and Measurement Engineering.
Online since: September 2013
Authors: Ezddin Hutli, Dániel Tar, Valer Gottlasz, Gyorgy Ezsol
Of course, the complex flow geometry provides a very challenging problem for CFD.
Therefore, a precisely benchmarking effort is needed to validate the CFD results.
PIV, PLIF and CFD can be used together to obtain confident results.
While many other literatures focused on the development of numerical simulations in this field [6-10].
The obtained data shows the possibility of CFD validation and benchmarking.
Therefore, a precisely benchmarking effort is needed to validate the CFD results.
PIV, PLIF and CFD can be used together to obtain confident results.
While many other literatures focused on the development of numerical simulations in this field [6-10].
The obtained data shows the possibility of CFD validation and benchmarking.
Online since: August 2014
Authors: Yun Fei Zhao, Xu Liu, Wei Liu
Dynamics Characterization of Missiles with Control Flaps Based on CFD
Liu Xua, Liu Weib and Zhao Yunfeic
College of Areospace Science and Engineering, National University of Defense Technology, Changsha, China
anudt@sina.cn, bfishfather6525@sina.com, czhaoyf08@126.com
Keywords: CFD; Damping-in-pitch derivative; Damping-in-roll derivative; Forced-harmonic analysis
Abstract.
Numerical simulation and physical characteristics analysis for slender wing rock [J].
NND schemes and their applications to numerical simulation of two-and three-dimensional flows [J].
CFD Computation of Magnus Moment and Roll Damping Moment of a Spinning Projectile.
CFD predictions of dynamic derivatives for missiles [C]. 40th AIAA Aerospace Sciences Meeting, 2002
Numerical simulation and physical characteristics analysis for slender wing rock [J].
NND schemes and their applications to numerical simulation of two-and three-dimensional flows [J].
CFD Computation of Magnus Moment and Roll Damping Moment of a Spinning Projectile.
CFD predictions of dynamic derivatives for missiles [C]. 40th AIAA Aerospace Sciences Meeting, 2002