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Simulation of drag reduction mechanism of the wing tip Liu Xiaoleia, Liu Xueweia, Song Liminb, Jin Dunc, Li Yuankaic Aviation University of Air Force,Changchun 130022,China alisong_2@126.com, bliminsong_2014@163.com, climi_2014@sina.com Keywords: Computational fluid dynamics; Winglet; Drag reduction mechanism Abstract: In this paper, the international common CFD software were installed on the flat three-dimensional optimal design wing tip and winglet wing for three-dimensional simulation, and use the results post-processing software post-processing.
The winglet was conducted analog computation by general CFD simulation software, and related processing also was carried through. 1 Simulation on the three-dimensional wing and the straight wing of winglet installation 1.1 Establishment and discrete model In order to coordinate the RAE2822 airfoil standard construction, the coordinate of wing root, the turning, wing tip are established, and on the basis, the airfoil profile was also established.
Fig.1 The surface grid of straight wing Fig.2 The surface grid of wing with winglet 1.2 Calculation results The widely used CFD software FLUENT was made use to carry on the simulation computation.
Fig.5 The  wing tip streamlines of straight wing on Ma=0.65 a=3° Fig.6 The  wing tip streamlines on Ma=0.65 a=3°of winglets wing 3 Conclusions Through the numerical simulation and flow imaging processing, the influence of winglet for the wingtip vortex can clearly observed.
Mechaniam of Drag Reduction by Spanwise Oscillating Lorentz Force in Turbulent Channel Flow, chinese journal of theoretical and applied mechanics ,Vol.43(4), 2011, P.653-659 [6] Shi Wei-ping, Li Xiu-wen, He Peng, Lattice Boltzmann Simulation of Drag Reduction for the Flow around Circular Cylinder in Electromagnetic Field, Journal of Jilin University:Sci Ed, Vol.49(4), 2011, P.575-579 [7] BERGER T W, KIM J, LEE C, et al.

The full scale 155 mm artillery projectile was generated in INVENTOR software and modeled in CFD simulations, in order to determine static aerodynamic coefficients.
Solving Methodology CFD is applied to determine the aerodynamic coefficients by using a commercial CFD code called ANSYS FLUENT which solves the governing equations of the flow motion using a technique of finite volume.
Fig. 6 shows the Comparison between the drag coefficient curves obtained by the CFD simulations for 0° angle of attack and the drag curves obtained from [3], (Zero-Yaw Drag Coefficient vs.
Conclusion 3-D unsteady flow CFD simulation over a spinning projectile model, regardless the spinning motion of projectile was performed at subsonic, transonic and supersonic Mach numbers with various angles of attack using a commercial CFD code called (ANSYS FLUENT14.5) which solves Navier-Stokes equation with Spalart-Allmaras one equation turbulent model.
Fig. 6 Comparison between CFD simulation and experimental drag coefficients for α=0° References [1] Sahu, J., 1991.

Numerical Simulation and Experiment on the Electrolyte Flow Distribution for All Vanadium Redox Flow Battery Jin-qing Chen 1, a, Bao-guo Wang 2, b, Hong-ling Lv 1 1State Key Laboratory of Heavy oil, China University of Petroleum, Qingdao 266555, China 2Department of Chemical Engineering, Tsinghua University, Beijing 100084, China ajqchen@upc.edu.cn, bbgwang@tsinghua.edu.cn Keywords: All vanadium redox flow battery (VRB); Computational fluid dynamics (CFD); Flow field simulation; Electrolyte distributions; Hydraulics experiment Abstract.
To reveal the electrolyte distribution in the battery, the computation fluid dynamics (CFD) method was used to simulate a parallel flow field.
A hydrodynamics model of the field structure was designed and calculated by the CFD method.
Simulation was considered as converged when residuals remained constant at a value below 10-4.
An optimization of inner flow field strusture should be designed by the further utilization of CFD tools.

Construction ventilation scheme optimization of underground main powerhouse based on CFD Zhen Liu1, a, Xiaoling Wang*, 1, b, Aili Zhang1, c 1State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin University Tianjin 300072, China atjuliuz@163.com, bwangxl@tju.edu.cn, czhang_al2@ecidi.com Keywords: CFD; underground main powerhouse; construction ventilation; CO diffusion; scheme optimization.
Abstract: For the purpose of avoiding the deficiency of the traditional construction ventilation, the ventilation of the underground main powerhouse is simulated by the computational fluid dynamics (CFD) to optimize ventilation parameters.
Consequently, the investigation of CFD simulation of the underground powerhouse construction ventilation is of great significance.
Due to the complexity of construction ventilation in the underground caverns, numerical simulation studies on the construction ventilation of the hydropower station underground caverns have been conducted gradually in recent years.
However, numerical simulations of ventilation have mainly concentrated on the single tunnel, with less attention given to the construction ventilation of underground powerhouse.

Numerical simulation scheme for interior flow field of jet-mixing apparatus was established, CFD software Fluent was used to investigate in concentration field of jet-mixing apparatus.
In this article, CFD simulation and experiment were both used to investigate the online mixing performance of jet-mixing apparatus.
Volumetric flow rate (3) Where stands for volumetric flow, Efficiency (4) CFD simulation and experiment 2.1 CFD simulation In this numerical study, commercial software Gambit 2.3 and FLUENT 6.3 are used as the grid generator and the CFD solver, respectively.
For each simulation, the solution is iterated until convergence is achieved (residue for each equation is less than 10-4).
Conclusions Numerical simulation scheme for interior flow field of jet-mixing apparatus was established, CFD software Fluent was used to investigate in concentration field of jet-mixing apparatus.

Comparison between the CFD simulation results and experimental data yielded an average difference in the bars temperature between -0.3ºC and3.5ºC.
The authors analyzed the same problem in the past [5,6], but without using CFD and with less accurate results.
Simulation Methodology The computational domain of the simulation is show in Fig. 2.The simulation consider a two dimensional domain, with a very narrow depth of 1 millimeterand with symmetry conditions in the front and back faces.The simulation is transient, with total time of 45 minutes and with time steps of 0.3 seconds and 0.5 seconds and it considers that the steel bars simply replace air at the time they enter in the experiment.
The average difference between simulations and experiments is in a range from -0.3ºC to 3.5ºC.
Temperature profile of bar8 Conclusion The authors made and validated a CFD simulation model to predict the temperature profile of steel bars.

With the computational fluid dynamics (CFD) and computational structural mechanics (CSD) and the development of high-performance computers, numerical simulation based on a high fidelity physical model of CFD / CSD coupling methods will become most credible methods on aeroelastic analysis [1,2].
Computational Aeroelasticity (CAE) ,represented CFD / CSD coupled numerical simulation methods, has become one of the significant progress over the past decade in the field of aeroelasticity [3].
Although the aeroelastic control equations can be solved by CFD / CSD coupling method , but high-order models and large-scale mass data provided by numerical simulation of complex systems make costly compute , engineering applications subject to certain restrictions.So in the mid-1990s, in order to solve the problem for which CFD / CSD coupled numerical simulation method for calculating aircraft aeroelastic analysis shortcomings too expensive, funded by NASA and the U.S.
Transonic aeroelastic simulation for instability searches and uncertainty analysis Progress in Aerospace Sciences 2011, 47: 392-423 [3] Dowell E H.
Discrete-Time Linear and Nonlinear Aerodynamic Impulse Responses for Efficient CFD Analysis [D] .PH.

axochitlmoran@gmail.com, bjose.luna@correo.buap.mx, caprezasies@gmail.com, djose.hernandez@correo.buap.mx, epathaym@yahoo.com Keywords: SRO, HF-CVD, simulation, CFD, Thermodynamic Analysis Abstract.
S. et. al. used a CFD simulation to optimize the deposition parameters of diamond films in HFCVD reactor, the temperature, pressure, and distance between the filament and the the susceptor were considered [10].
The model parameters of the 2D HFCVD reactor simulation.
Conclusions The CFD simulation of the HFCVD reactor for studying the optimal conditions of the deposit process of the SRO films with a 2D model was developed.
Kim, “CFD Simulation of Chemical Vapor Deposition of Silicon Carbide in CH3SiCl3-H2 System, Curr.

Numerical simulation on the jet characteristics of abrasive jet WANG.
The existing research of jet characteristics of abrasive jet by numerical simulation methods is discussed in the paper, including jet fluidizing and mixing process simulation, jet formation process simulation and jet erosion workpiece simulation.
The existing research of jet characteristics of abrasive jet by numerical simulation methods is discussed in the paper, including jet fluidizing and mixing process simulation, jet formation process simulation and jet erosion workpiece simulation.
Jayanti [7] simulated jet mixing in a cylindrical vessel by computational fluid dynamics (CFD) technique.
Fig.1 The state of fluidization (a) fixed layer; (b) fluidized layer; [12] Fig.2 The fluidization process of experiment and simulation (Left) experiment; (Right) simulated [12] Simulation of the jet formation process Computational Fluid Dynamics (CFD) has become an alternative method to experiments for understanding the fluid dynamics of multiphase flow in the nozzle inner and outer.

Analytical computations and computer based CFD simulations were carried out on the basis of 3DOF models of two training ships – a VLCC and a Passenger Car Ferry.
Suction forces and moments are determined on the basis of analytical calculations or simulations in Fluid Dynamics Computer (CFD) programs.
CFD (Computational Fluid Design) simulation method.
Computer Fluid Dynamics (CFD) commercial programs are based on solving conservation equations for mass and momentum.
This is the aim of usage of Volume of Fluid (VOF) model to describe free surface problem in CFD computer program.