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The shape of the Wind channel is the key of simulation effect of the wind load of aerodynamic brake at high speed.
The simulation model is properly simplified real model of original size.
Its structured mesh is partitioned in the ICEM CFD software with refined grids around the channel and the aerodynamic braking device, as shown in Fig. 5.
Fig. 5 Structured mesh of the simulation model Simulation results contrast of the three Schemes.
The high pressure center of the scheme three is closer to the device center, more aligning to the simulation goal.

Fig.2 Mesh grids of the splicing cells 5 The Results and Analysis of Fluid Field Simulation Four sections at the same position of the square, hexagon and round chambers are selected to show the simulation results.
(2) By the method of fluid flow field simulation with different splicing shapes, this paper obtains the way to optimize the air splicing shape and provides the basic tools and methods to optimize the air splicer design.
Received date: Supported by Qingdao science and technology bureau，12-1-4-3-（32）-jch *Correspondence should be addressed to Li Li, E-mail: lindabob@126.com References: [1] Li Zhaoqi; the latest development of Automatic winder [J], china textile leader, 2009 (1): 11~13 [2] Wang Jiangzhong; Research on the theory for key components of new type automatic winder [D], Qingdao s university of science and technology,2011 [3] Li Zhifeng, Chen Ruiqi; the mechanism and development direction of air splicer [J], Journal of Textile, 1997, (4) : 209~211 [4] Li yin, Ye Guoming, Chen Ruiqi; Mechanism analysis and design for air splicer of automatic winder [J], Shanghai, press of China textile university, 1997, 10 (1) : 12~18 [5] Zhou Jianheng, Qin Pengfei; CFD using in the design of air splicer [J], Journal of Donghua university (natural science edition), 2004 (30) : 49-52 [6] Chen Renzhe; Principle of textile machinery design [M], Beijing, China textile press, 1996 [7] Zhang Zhaoshun, Cui
Guixiang, Xu Chunxiao; Turbulence theory and simulation [M], Beijing, Tsinghua university press, 2005.9 [8] Ma Guiyang, Xie Maozhao; Calculation of internal combustion engine cylinder with RNGk-ε model [J] , Fuel science and technology, 2002.4 [9] Yakhot V,Orzag S A.

Numerical simulation method and Fire scene design This paper selects the numerical simulation tool FDS5.0 (Fire Dynamics Simulator) developed by NIST, which is a Computational Fluid Dynamics (CFD) simulation model of fire-driven flow.
The critical velocities in all cases are shown in Fig.3: Fig.3 shows the simulation values of Gu Zhenghong, it can be seen that the two curves match very well, which also verifies simulation results in this paper.
Gu Zhenghong fitted his simulation values linearly, and put forward the prediction model of critical velocity.
The FDS simulation results show that when HRR was increased to 25MW, the critical wind speed just increases slightly, and gradually becomes constant.
The simulation results of 30MW also consistent with the linear law, which also verifies the rationality of the Eq.9.

Heat Dissipation Capacity of Heat Sink Assembly with/without Vortex Generators Sheam-Chyun Lin1,a,Cheng-Ju Chang1,b, Fu-Yin Wang1,c, Horng-Ching Hsiao1,d Shiuh‐Kuang Yang2,e, Chun-Yu Hsiao1,f 1National Taiwan University of Science and Technology, Taipei, Taiwan 2National Sun Yat-Sen University, Kaohsiung, Taiwan asclynn@mail.ntust.edu.tw, bD9603301@mail.ntust.edu.tw, cD9703302@mail.ntust.edu.tw, dhsiao@ee.ntust.edu.tw,eskyang@mail.nsysu.edu.tw, fD9607101@mail.ntust.edu.tw Keywords: Vortex generators, Heat sink assembly, Numerical simulation, Thermal resistance Abstract.
In this research, numerical simulation is adopted to study the cooling characteristic of a bracket-type heat sink assembly.
As a result, the numerical simulations show thatapparent reductions on source temperature (from 348.0K to 346.2K) and thermal resistance (from 0.266 K/W to 0.253 K/W) are observed for a 150W power input.
The winglet vortexis placed in front of 3X5 modules with a 20° attack angle to enhance heat transfer coefficients, reduce thermal wake and module temperatures significantly.Leu et al.[5] used CFD and test meansto analyze heat transfer and flow field in the plate-fin and tube heat exchangers equippedwith vortex generators.
Numerical results of prototype CPU air cooler In this research, numerical simulation is adopted to analyze the heat dissipation capacity of prototype heat sink assembly (Fig. 1) under the high power input, say 150W.

While the numerical simulation be of economy, flexibility and widely applied in parachute research.
The representative researches are: Purvis simplified the structure, flow field model and the result of two-dimensional is obtained, but the numerical model used in his calculation is rough and sensitive to damping coefficient; In 1993, Benny and Stein proposed the CFD/MSD (Mass Spring Damper) coupling model, which ignore the influence of fabric characteristics, and the research result had no test to verified; Since 2005, Benjamin based on ALE simulated the three-dimensional parachute opening process, and the results are verified by test [2].
Fig. 3 Comparison between simulation and experiment Calculation Analysis The dynamic results in parachute inflating, including equivalent stress, flow velocity and pressure, are shown in Fig. 4.

This paper aims to estimate the best energy saving operational parameters of supply air and meanwhile ensuring comfort by simulating reasonable air parameters under part-load operating conditions with CFD simulation software.
A typical conditioned room in the perimeter zone on the third floor was selected for simulation study.
Simulation parameters of supply air are chosen based on Tab. 2.
Other simulation profiles of 11 conditions are omitted here.
Other simulation profiles of 11 conditions are omitted here.

China ajjliouu@163.com, bandy-cheng2008@live.cn Keywords: Hypersonic, Turbulence model, Numerical simulation, Heat transfer Abstract.
Numerical simulations of hypersonic compression ramp flow were then performed using the current improved SST model and the original SST two-equation turbulence model.
In addition, comparing simulation results to experimental data, the one using the improved SST model were found to agree better.
Wilcox: Turbulence Modeling for CFD ( DCW Industries Publications, USA 2000) [9] F.
Liu: Development of High-Mach-Number RANS Turbulence Model and Numerical Simulation of Hypersonic Flows(PhD.

The computation was performed by using coupled fluid-thermal FEM simulation of FLOTRAN module in ANSYS 6.0.
Accounting of both the nozzle and front-box fields will yield more accurate simulation results.
Based on industrial experiments and simulation, the problem of mismatch will become acute with higher speed of roll cast.
Multiphase Phenomena and CFD Modeling and Simulation in Materials Processes Symposium. (2004), p. 325-34
[10] Liang Tao: Research on Numerical Simulation of Heat Transfer and Thermal Crowning of Roll Shell during Twin-roll Casting, Ph.D. thesis.

The third one is simulation and discussion.
Simulation and Discussion We use ESI-CFD+ software package for simulation.
As in Figs. 4(a) and 4(b) for the geometric dimensions of hemi-spherical and square chambers, the thermal sensors can be put at either one of the three points to be trade-off by simulation.

The external wall and window’s heat load ratio to the total heat load case case 1 case 2 case 3 case 4 case 5 the external wall heat load ratio 20% 30% 40% 50% 60% the external window’s heat load ratio 80% 70% 60% 50% 40% Simulations The physical model.
The room space used in the CFD is 5.0 m in length, 4.0 m in width and 3.0 m in height.
This model is popular in industrial flow and heat transfer simulations because it is robustness, economy, and reasonable accuracy for a wide range of turbulent.
The simulation boundary conditions.
The parameter result of the different case case case 1 case 2 case 3 case 4 case 5 the total heating load (w) 407 407 407 407 407 the heat load of the external wall (w) 81.4 122.1 162.8 203.5 244.2 the heat load of the external window (w) 325.6 284.9 244.2 203.5 162.8 the external wall’s heat transfer coefficient (w/m2·k) 0.383 0.575 0.766 0.958 1.149 the external window’s heat transfer coefficient (w/m2·k) 3.261 2.853 2.446 2.038 1.631 the internal surface temperature of the external wall (˚C) 16.86 16.28 15.71 15.14 14.57 the internal surface temperature of the external window (˚C) 8.25 9.47 10.69 11.91 13.13 the supply-return heat water mean temperature (˚C) 52.59 52.59 52.59 52.59 52.59 The simulation results.