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Simulation Study about Impact of Building Density on Heat Island Effect Xiao-yu LUO1,a *, Jian GE1,b and Yun ZHANG1,c 1 Room506, Yueya Buiding, Zijinggang Campus, Zhejiang University, China a120819598@qq.com, bgejian1@zju.edu.cn, c35136794@qq.com *Corresponding author Keywords: Numerical simulation, Heat island effect, Building density.= Abstract.
In this research the relationship between the heat island effect and the building density has been studied by CFD software with other factors such as the building height and construction shape unchanged.
Through a series of simulation and data analysis it is revealed that the effect of building density on the thermal conductivity is obvious.
The simulation of temperature changes was made only regarding building density, which ranges from 8% to 46%.
In the study, the computational simulation software we applied was Phoenics.

CFD Analysis on Fire Feature of Subway Station with Different Location of Ticket Machine Xin Han1, Chongyu Li2, and Beihua Cong3 Shanghai Institute of Disaster Prevention and Relief, Tongji University, Shanghai 200092, China Tongji Antai R&D Center of Engineering Disaster Prevention, Shanghai 200032, China 1hanxin@tongji.edu.cn, 2lichoyou@163.com, 3bhcong@tongji.edu.cn Keywords: subway station; ticket machine; fire; space; FDS Abstract.
The total simulation time of fire scenario is 1200s. 2.2 Setting of Measuring Points Three measuring points A, B and C are set up during the fire simulation, as shown in Fig. 1.
The height of these points is 2m above the floor ground and the simulating results of fire temperature, smoke density and visibility could be given out. 3 FDS Simulation Results and Analysis Through the simulation calculation of four different operation scenarios, s=12m, s=15m, s=18m, s=21m (s is the space between the ticket machine fire and evacuation exit), the corresponding simulation results of ticket machine fire in the subway station are demonstrated, including fire temperature, smoke density distribution as well as visibility, as shown in in Fig.2, Fig.3 and Fig.4 while the simulation time is 900s.
From the simulation analysis, some results could be concluded.
Through FDS simulation, the fire feature is analyzed considering different location of ticket machine.

Analysis of the full flow field of Torque Converter Yulong Lei 1, a,Chang Wang 1,b ,Zhengjie Liu 1,c and Xingzhong Li 1,d 1 State Key Laboratory of Automatic Dynamic Simulation, Jilin University (Campus Nan Ling), Renmin Str. 5988, 130025 Changchun, China aleiyl@jlu.edu.cn, bwang.c1987@163.com, c lzj10082838@163.com, dwhdxjx@126.com Keywords: Torque Converter, full passage, single passage, flow field Abstract.
As complexity of the structure and the flow field of the Torque Converter, its designation is mainly based on the simplified one-dimensional beam theory, experience data, and the CFD simulation with single-flow model, which ignores the impact of the cascade area that the oil flow in a single channel to do rotary movement, assumes one oil flow completely flows into another channel, ignores the non-cascade diffusion zone, ignores the interaction between the two flow channel, and then get a simplified computational model.
Full-flow modeling CFD Simulation is based on the Finite-volume grid computing system.
By the external characteristics experiment can get the experimental external characteristics curve of torque converter, shown in Fig.7 Fig.7.Experimental and calculated curves Through the comparison with experimental results in Fig.7 can verify the correctness of simulation results.The full passage flow model is more closer than the single passage approaching the experiment date.
[3] Chinwon Lee, Wookjin Jang, Jang Moo Lee, Won Sik Lim: Three Dimensional Flow Field Simulation to Estimate Performance of a Torque Converter.SAE 2000-01-1146.

Most of the experiments use the principle, and makes simulation tests relative to inside of proportion nozzle model.
There are few literatures basically that apply CFD methods for synthetic air flow-field.
This is because the use of UDF makes the function of main nozzle in synthesis air-flow decrease, and the follow-up flight of weft mainly depends on air-flow from auxiliary nozzles, which is consistent with relay-weft-insertion principles in air-jet looms [8]. 4 Conclusions From the results and analysis above-mentioned, the following conclusions can be drawn: (1) For synthetic flow-field of main and auxiliary nozzles in air-jet loom, it is feasible to make numerical simulation analysis by using CFD combined with experimental verification.
(3) Best spray angle of auxiliary nozzle is set by the combination of numerical simulation and experimental studies.
(4) For the numerical simulation of synthetic airflow field, boundary condition setting is particularly important and should better combine with the actual situation as far as possible.

Simple geometric shape, ellipsoid, is selected to carry out numerical simulation.
Numerical simulation of the nonlinear waves generated by a submerged ellipsoid [J].
[7] Wang Fujun.Computational Fluid Dynamics Analysis—Software principles and applications of CFD [M].Beijing: Tsinghua university press,2004
A study on the current generating system of the deepwater offshore basin using CFD[J].
[9] Xie Junyuan, Ma Ling, Hu Zhen.Motion simulation research on deep-sea human occupied vehicle[J].

Numerical Simulation of Effect of X-Shape Submerged Nozzle on Flow of Molten Steel in Mold Xiaochao Cui1, a, Yanjuan Jin1, b and Yanxia Chen1, c 1School of Applied Science, Taiyuan University of Science and Technology, Waliu Road 66, China 030024 acuixiaochao@sohu.com, bjinyanjuan2003@163.com, ctjpcyx@yahoo.com.cn Keywords: X-Shape Submerged Nozzle, Molten Steel Flow Field, Numerical Simulation Abstract.
The numeric simulation of effect of X-shape submerged nozzle on flow of molten steel in a mold for 160mm×160mm concasting billet has been carried out by viscous fluid mechanics theory and CFD software Fluent.
Fig. 1 X-shape submerged nozzle Numeric Simulation of The Flow of Molten Steel Integral equation of controlling volume consists of continuity equation, momentum equation, energy equation, turbulent kinetic energy equation and turbulent kinetic energy dissipation rate equation.
The assumptions of numeric simulation are as follows: (1) The flow of molten steel is steady, viscous and incompressible; (2) The influence of gravity on the flow of molten steel is taken into account, but the influence of mould vibration is ignored; (3) In the process of solidification of molten steel, heat conduction and convection are taken into account, but radiation is ignored; (4) Ignore the influence of solidification shell in the mould on flow field.
Numeric Simulation of Effect of X-Shape Submerged Nozzle on Flow of Molten Steel in Mold The Flow Status of Molten Steel in X-Shape Submerged Nozzle and Mold.

., Hangzhou 311122, China ajzj@zju.edu.cn Keywords: Pressure reducing valve, Fluid dynamics, Aerodynamic noise, Numerical simulation.
Since numerical simulation methods have been developed well, many studies applied CFD method to aerodynamic noise analysis [4,5].
Wang investigated the noise characteristics of valve by numerical simulation and the results showed that turbulence at the throttling outlet is the main reason to produce flow-induced noise and the vortex noise is the main kind of the valve noise [6].
This paper uses Fluent, the CFD numerical analysis software, to build a 3D model of the steam flow in the high parameter PRV.

The present paper presents simulation result of heatsink orientation as presented in different models.
In the other hand, CFD featured in detail about developed flow, therefore engineer could reap next level of considerations.
All simulations were performed with double-precision to solve the round of error caused by the iterative procedure.
Lin, “A CFD modeling of CPU cooling by eco-friendly nanofluid and fin heat sink passive cooling techniques,” Adv.
Suandi, “Heatsink 3D By Cfd Analysis of Cooling System in a Pc Desktop,” Rekayasa Mek.

arodrigues.iran@hotmail.com, bamico@ufrgs.br, cjasouza@furg.br, dfelipe.luz@ufrgs.br, erodbj1986@gmail.com, fgilson@dem.ufcg.edu.br Keywords: RTM, flow simulation, linear injection, pressure Abstract.
The non-dedicated commercial software commonly used to study CFD (Computational Fluid Dynamics) are Ansys CFX® and FLUENT, both from ANSYS and Abaqus CFD from Simula Abaqus, which are simulation tools for fluid mechanics and heat transfer problems, capable of working with complex geometries and simulate the resin’s advancement and curing within the mold.
In all simulations it was assumed an incompressible fluid flow through a porous medium.
To validate the simulation obtained with PAM-RTM, the results were compared with experimental data, as shown in Figs. 3, 4 and 5.
Amico: Numerical Simulation of Infiltration in Manufacturing Process for Composite RTM.

In order to obtain the conditions of the simulation analysis, the grinding force simulation are implemented, and using CFD method, the oil temperature is analyzed.
Grinding Force Simulation.
The simulation is carried out under the conditions of ap= 0.3 mm.
The simulation condition is up-gringding and dry grinding.
Using the CFD software Fluent to calculate the temperature of the oil film, the result with the spindle speed can be seen in Fig. 8.