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Online since: December 2018
Authors: Naima Charhouni, Mohammed Sallaou, Khalifa Mansouri
Literature Review A Notable number of research studies investigate the effect of wake interactions between turbines on power production of wind farm .These studies developed a mathematical programming models that maximize the power production while minimize wake effect based on numerical approaches that can split on two approaches :Heuristic methods for optimization and computational fluids dynamic (CFD) for investigation and analysis.
The CFD results proved that the output power of downstream turbines increase as the separation distance rises.
Generally wind velocity deficit is calculated using analytical models which are simple to be solved analytically or otherwise considered computational models based on CFD method [12,22].
Xie, C .Archer, Self similarity and turbulence characteristics of wind turbine wakes via large ddy simulation, W.Energy .18.10 (2015) 1815-1838
Mikkelsen , Comparison of engineering wake models with CFD simulations.
Online since: May 2012
Authors: Guang Li Xu
Two-dimensional numerical simulation was conducted by VOF model and CSF model based on the test geometrical model.
Numerical simulation The 2-dimensional unsteady simulation on the flow phenomenon of deposited water displaced by laminar flowing oil in hilly terrain tube shown in Fig. 1 was performed according to the computational fluid dynamics (CFD) theory by FLUENT software which is based on the finite volume method.
A no-slip boundary condition was imposed at the tube wall for all simulations.
To further compare the simulations with the theoretical predictions, the critical condition also is predicted by water plug model [9].
Therefore, the simulations by VOF and CSF model could describe the mechanism of oil-dragging-water system reasonablely.
Online since: August 2012
Authors: Yong Gang Yu, Ling Ke Zhang, Xin Lu
Simulation Program and vertification A.
The bottom-up approach was adopted in this simulation program.
Fig.4 presents the overall structure of simulation module.
The results of simulation are shown in Table I, and it could be found that the difference between experiment and simulation is very small.
Conroy, "Multiphase CFD Simulations of Solid Propellant Combustion in Gun Systems," in 40th Aerospace Sciences Meeting & Exhibit, Reno, Nevada, 2002
Online since: June 2017
Authors: Leonid Belyaev, Aleksey V. Zhdanov, Valentin Morozov, Elena Novikova
For the solution of this problem the numerical simulations of a thermal condition of implantable part of artificial heart mechatronic unit was carried out and based on results of the solution of a stationary task of heat conductivity.
The carried-out simulation of the established thermal state at various power of thermal losses showed lack of an overheat of a surface of the mechatronic unit housing above critical temperature during the continuous work for a long time and principle possibility of application of the developed design as implantable system.
For the solution of this problem the numerical simulations of a thermal condition of implantable part of artificial heart mechatronic unit was carried out and based on results of the solution of a stationary task of heat conductivity by finite element method.
Results and discussion The simulation results are presented in Figs. 2 - 4.
Zhdanov, CFD research of hydrodynamic parameters of artificial ventricles for pulsating LVAD, Proc. 2nd Technical Congress on Resources, Environment and Engineering (CREE 2015), (2015), pp. 9-14
Online since: April 2008
Authors: Jun Lin Xie, Shu Xia Mei
Today, using Computational Fluid Dynamics (CFD) method, more and more studies have been opened on the flow field in precalciners.
The differences between them are little, indicating the rationality and reliability of simulation results.
Conclusion In this paper, numerical simulation was executed for a full-scale precalciner.
Wang in: Numerical simulation study on gas-particles two-phase flow in pre-calciner.
Communications in Nonlinear Science and Numerical Simulation Vol.11 (2006) p440-451 [6] L.
Online since: November 2016
Authors: Pasquale Gaudio, A. Malizia, M. Gelfusa, A. Murari, J.F. Ciparisse, L.A. Poggi, M. Lungaroni, Maria Richetta
The measurements performed with diagnostics available in the facility, provide the boundary conditions to run numerical simulations and to validate mobilization models .
The authors have also the capability to acquire, elaborate and analyze the images of dust mobilized in the chamber during the pressurization thorough optical techniques and, last but not least, they have the skills to perform numerical simulations of different phenomena.
Gaudio, Safety analysis in large volume vacuum systems like tokamak: Experiments and numerical simulation to analyze vacuum ruptures consequences, Adv.
Richetta, “Large eddy simulation of loss of vacuum accident in STARDUST facility,” Fusion Eng.
Richetta, Loss of vacuum accident (LOVA): Comparison of computational fluid dynamics (CFD) flow velocities against experimental data for the model validation, Fusion Eng.
Online since: January 2013
Authors: Sheng Jing Tang, Sheng Yi Yang, Jie Guo, Chao Liu
It had not been explored which real-time magnitude can meet the requirement of the simulation object in computer simulation system.
Some key physical components are accessed to computer simulation circuit in HIL simulation system.
The aerodynamic coefficient of the simulation model can be calculated -with the common pneumatic software for estimation and analysis, such as DATCOM, DesignFOIL, Advanced Aircraft Analysis and so on [5]; Or through a commercial CFD numerical simulation software, such as FLUENT, CFX and so on; Or using interpolation algorithm (isometric / no isometric single argument parabolic interpolation, isometric/no isometric double argument parabolic interpolation, etc.) to calculate the datasheet from engineering estimation and the wind tunnel testing.
The simulation control function can manage simulation process.
Journal of System Simulation. 2001(01), p. 60-63.
Online since: September 2013
Authors: Shi Jie Luo, Yao Feng Liu, Ning Cao
Numerical Simulation of Low Mach Number Steady and Unsteady Flow Past a Circular Cylinder with Preconditioning Method Ning Caoa, Yaofeng Liub and Shijie Luoc China Academy of Aerospace Aerodynamics, P.O.
Box 7201, 100074 Beijing, China acnbuaa@sina.cn, blyf545@sohu.com, clord.p@163.com Keywords: Numerical simulation; Preconditioning; Steady flow; Unsteady flow Abstract.
Preconditioning techniques have become established as a useful technique for optimizing accuracy and efficiency of CFD solutions over a range of flow conditions.
However, numerical results by using time-dependent method are not satisfied in the simulation of low Mach number flows.
Online since: November 2012
Authors: Dinesh Srivastava, Gautam Kumar Dey, Nachiket Keskar, Vikrant Raizada, Vaibhaw Kumar, Sanjay Kumar Jha, Nudurupati Saibaba
Modeling In the present work, HyperXtrudeTM, a commercial simulation software module dedicated to extrusion simulation was used.
The solver for this software uses an Arbitrary Lagrangian-Eulerian meshing and is governed by FEM and CFD principles.
Simulations and validation of coefficients of convective heat transfer and friction Simulation of a hollow billet of standard dimensions (119 mm Outer Diameter, 450 mm length) was carried out under the following conditions: (1) OD 119 mm, ram speed 30 mm/s, fillet radius 10 mm, reduction ratios: 6, 8, 10, 12, 14.44, 20
Ram speed of 47 mm/s, h = 100 and µ = 0.9 are the values that are used in further simulations.
This is brought out by the simulation as shown in Fig. 4 (b).
Online since: January 2013
Authors: Ning Ma, Quan Kun Liu, Ke Su Liu
The numerical simulation of hot forming is implemented [1,9].
The cooling system in the hot forming tool is analyzed with the method of computational fluid dynamics (CFD) [10-11].
Both experimental and simulation methods can be adopted to evaluate the impact resistance of hot forming parts and conduct optimization design.
Commercial software LS-DYNA is employed for the simulation, and the impact velocity is 50km/h.
Fig .6 shows the simulation result of bending force and displacement of the B280/440DP steel bumper (with the thickness of 2.0mm), Fig. 7 to 10 show the simulation results of hot forming high strength steel (HFS) bumper (with thickness from 2.0mm to 1.2mm respectively).
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