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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: May 2011
Authors: Hua Bai, Jia Wu Li
Numerical Simulation of Flow over a Circular Cylinder at Low Reynolds Number Hua Baia, Jiawu Lib School of Highway, Chang’an University, Xi’an, Shaanxi, 710064, China abaihua15@163.com,bljw@gl.chd.edu.cn Keywords: circular cylinder, numerical simulation, pressure coefficient, drag coefficient, Strouhal number, control measures Abstract.
The focus of this numerical simulation was to research the characteristics of pressure distribution, drag coefficient and lift coefficient, and the Strouhal number was calculated at Reynolds-numbers value of 200.
With the speed and capacity of computer increasing rapidly, numerical simulation has become an effective means of flow over a circular cylinder research because of its easily modeling, quicker and needs less investment.
Through CFD simulation, drag coefficient, lift coefficient and Strouhal number are analyzed, the instantaneous and time averaged flow field and the pressure coefficient on the cylinder are studied, and the complex phenomenon of separation and swirl is especially discussed.
Finite volume method is used for the present simulations.
Online since: December 2014
Authors: Bo Ao Xu, Qiang Chen, Bin Chen
The commercial CFD code FLUENT is used to model the plasma and the solid anode part.
If we want to study the complex external environment (current, cross-flow, external magnetic field etc.), case-by-case should be based on, and a more sophisticated model is needed for numerical simulation.
Phys. 36488-96 [8] Miki, Kenji, Joseph Schulz, and Suresh Menon.2013 Large Eddy Simulation of a Free-Burning Arc Discharge in Argon with a Turbulent Cross Flow and External Field. 
Online since: June 2010
Authors: Tomasz Merder
By the mathematical simulation, fluid flow and heat transfer of molten-steel in a tundish of a billet caster under different conditions (bare tundish and tundish with flow control device) are analyzed.
Numerical simulations of are carried out with the finite-volume commercial code FLUENT using the realizable k-ε turbulence model.
The mathematical simulations were run on a INTEL CORE i7 processor computer with the Computational Fluid Dynamics (CFD) software.
The analysis of results of computations and numerical simulations enables the following conclusions to be drawn: 1) The use of turbulence controllers (with different geometries) in the working space of the facility under consideration significantly influences the values of particular steel flow shares within the whole tundish volume. 2) The proposed configurations of tundish working space furnishing result in a reduction of the liquid steel residence time, which positively develops the casting conditions. 3) An optimal tundish configuration is characterized by an increasing plug flow, with a decreasing dead flow.
Online since: October 2014
Authors: Jun Yuan Zhang, Peng Guo, Xing Jun Hu
Based on computational fluid dynamics numerical simulation methods, this article studied the changes of resistance characteristics and tail pressure distribution on the 35° slant angle Ahmed model after installing the rear flaps.
Simulation Method As the automobile external flow is turbulent, RANS is used in research simulation.
Conclusions Different models were studied using numerical simulation methods to research the resistance characteristics and the change of static pressure distribution of the model with the tail installed clapboard, and to explain mechanism of drag reduction.
Simulation results show that only by designing the clapboard in accordance with parameter flow structure, that maximum drag reduction can be reached. 5.
Fuchs, Experiment and numerical simulations on the aerodynamics of the Ahmed body, CFD letters,2011, 3(1):32-39 [7] H.
Online since: November 2015
Authors: Sławomir Alabrudziński
Jachowicza 2, 09-402 Plock, Poland ae-mail: salabrudzinski@pw.plock.pl Keywords: CFD, heat exchanger, shell-side pressure drop, tube bundle flow resistance.
Next, the comparison between simulation results and other methods has been carried out.
The comparison between simulation results and calculations according to Blassius formula (eqs. 7-10).
The quantitative comparison between simulation results and calculations according to Blassius formula (eqs. 7-10).
The comparison between simulation results and two exemplary correlations given in literature (eqs. 1-6).
Online since: June 2014
Authors: Li Bai, Peng Xuan Wang
By using CFD what is a special pre-processing software Gambit to establish model and dividing grid as show in Figure 4, the simulation software to read the grid using Fluent heat pump operation, for five years the change of soil temperature field.
The simulation runtime system physical parameters show Table 2.
Table 2, The thermal parameters of Ground-source heat pump system The initial temperature of soil(˚C) The initial temperature of soil W/(m·˚C) Soil density ( kg/m³) Soil specific heat capacity J/(kg·˚C ) Thermal conductivity of water W/(m·˚C) Water density kg/m3 Water specific heat capacity J/(kg·˚C) The single well heat (w/m) 12 2.573 2200 950 0.61 996 4200 25 Fig. 2, Engineering heat pump Fig. 3, The calculation area Fig. 4, Tube group soil system for well group arrangement tube group layout around the unit grid The simulation and analysis of dynamic The simulation time of ground source heat pump system for five years, according to the characteristics of climate and load of the Building in Changchun City, operation process of every year is divided into four stages, the first stage for heating conditions (October 25th - April 15th), the second stage is the heating conditions after the end of the natural
recovery (April 16th -5 months 31), the third stage is the cooling condition (June 1st -8 months 31), the fourth stage is the cooling after the end of the natural recovery (September 1st -10 months 24).The simulation and analysis of dynamic show figure5,figure6,figure7,figure8,figure9 and figure10.
Conclusions According to the simulation analysis on the operation of ground-source heat pump system: the soil temperature field has been basically balanced as the Ground-source heat pump system in 1 year operation, and as that proved the control area partition thermal compensation method for the proposed is feasible in severe cold regions.
Online since: August 2013
Authors: Tsung Hsin Hung, Win Jet Luo, Cheng Ho Chen, Jin Shyong Lin, Chien Wen Chung
In 2006, Gao and Rowe [3] discussed the cooling performance of the refrigerator of the electric chip, and searched for the parts of potential improvement by using module simulation.
After the theoretical design and predictive estimation, the simulation test was conducted by using the software of FLUENT.
In the simulation, for consideration of the air convection and heat exchange between the external space and the air-conditioned space, the simulated values are relatively lower.
Coupled with the CFD software for the calculation of the fluid mechanics software, actual and simulation data were compared, confirming that the trends of the actual measurement data and the simulated data are the same.
Chen, A Study on the Numerical Simulation and Application of the Thermal Cooling Characteristics of Cooling Chip, master’s thesis, National Formosa University of Technology (2010)
Online since: December 2012
Authors: Wen Zhou Yan, Wan Li Zhao, Qiu Yan Li
By using the computational fluid dynamics code, FLUENT, Numerically simulation is investigated for Youngshou power plant.
Fig. 1 Physical model for Yongshou power plant Fig.2 Top view of computational zones Numerical model and boundary conditions.The commercial CFD code, FLUENT, which is based on the finite volume methods, solves the Reynolds-averaged Navier–Stokes equations for an incompressible fluid and the effect of turbulence on the flow-field is included in the application of the RNG-k-e turbulence model, and the boundary conditions is similar to [4] Results and Discussion The thermal field of air-cooled condenser.Fig. 3 and Figure 4 give the temperature nephogram and lateral middle section of unit.
China (122102210058), High-level personnel research start-up project of North China University of Water Resources and Electric Power (40203) References [1] Wanli Zhao, Experimental Research on Thermal Flow Field Characteristics of a Direct Air-cooled System for a Large Power Plant[D], Doctoral Dissertation, Beijing University of Aeronautics and Astronautics, Dec. 2008 [2] Wanli Zhao, peiqing Liu, Evaluation Criteria and the Generation of Thermal Recirculation of under the tower of Air-cooling System for Power Plant[A], 2007 Conference Paper of Annual Academic Meeting of Chinese Society of Theoretical and Applied Mechanics[C], Beijing: Chinese Society of Theoretical and Applied Mechanics, 2007 [3] Wanli Zhao, Peiqing Liu, Experimental Researches of the Effect of Environmental Wind on Thermal Recirculation under the Tower of Direct Air Cooled System [J], Journal of Power Engineering, 2008, 28(3):390-394 [4] Peiqing Liu, Wanli Zhao, Experimental Research on Wind Tunnel Thermal Effect Simulation
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).
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