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Numerical simulation, combined with experimental investigation, is therefore a key tool for understanding the crystallisation process, and optimizing it.
The purpose of the present work is to present an experimental furnace for directional crystallisation of silicon, and its analysis by means of numerical simulation.
The thermal field has been computed by a CFD tool, taking into account important phenomena such as radiation and convection in the melt.
Numerical simulation, combined with experimental investigation, is therefore a key tool for analysing the cooling procedure, and optimizing the casting process [1-3].
The mesh used in the simulation is shown in Figure 1(a) [4].

The simulation model of the power capsule Fig 5:Three-dimensional simulation model of power capsule Given the above test, we build the simulation model of the power capsule including the intake and exhaust grille, radiator, inlet volute, fan, outlet volute.
For the symmetrical arrangement of the fan, we use half model to do the simulation.
Table 3 shows the contrast between experiment’s results and the simulation’s.
Fig.6: Static nephogram of the profile of cooling system Fig.7: The velocity vector diagram of the profile of cooling system The thermal state simulation of the cooling system in the power capsule Given the validity of the simulation model, we make a thermal state simulation of the cooling system.
Evaluation of Cooling Air Duct Comprehensive Performance in Vehicle Based on CFD Analysis [J]. 2012，33（3）：50-53 [3] Bi X P, Liu X X, Zhao Y X, et al.

Numerical Simulation of Dissolved Oxygen Transfer in an Aerated Pond Guanglin Wu1, a, Liangsheng Zhu2, b*, Fangcheng Li3, c 1,2College of Civil and Transportation Engineering, South China University of Technology, Guangzhou, Guangdong, China 1,3College of Engineering, Guangdong Ocean University, Zhanjiang, Guangdong, China aemail:zjwuguanglin@163.com, b*corresponding author: email:lszhu2000@vip.163.com, cemail:gdzjlfc@126.com Keywords: dissolved oxygen; water-wheel aerator; water pond; mass transfer; hydrodynamics Abstract.
CFD models Single phase governing equations of fluid dynamics are adopted here as follow.
Numerical simulation methods A water pond of 130 meters long and 90 meters wide is taken as research object.
The solution solver based on incompressible viscous fluid, 2 dimension dynamic k-e turbulent model in this simulation, and pressure-implicit with splitting of operators (PISO) arithmetic.

Numerical Simulation 4.1 Model and Boundary Conditions In order to facilitate simulation analysis and calculation, we have simplified CPU chip for using a constant heat source to substitute for it.
The two-dimensional model established on the CFD software is shown in Figure 1.
Conclusion In the numerical simulation, surface monitor is lies on the top of chip to record the temperature shift.
Compared numerical simulation of the CPU surface temperature with experimental results, although there are differences between these two, the trend is same, which also verify the correctness of the experimental test results.
The main cause of the different between numerical simulation and experimental results is model error.

General numerical solvers such as FEM and CFD can be used in most situations, but may suffer from solving difficulties with some problems, which are conventionally called numerical noisy. [10] Thus, the numerical noisy is a shortcoming for MDF because the strategy largely depends on the MDA.
Comparison of optimization procedures on the MDF, MDF-RSM and MDF-update-RSM Optimization procedure Search strategy of design space iteration result （x1，x2，f） Precise on result (1,1,0) outer inner MDF NLPQL 57 —— 0.988,0.976, 0.000152 0.015% MDF-RSM NLPQL —— 17 -0.0150,2.647, 6052.970 Not converge MDF-update-RSM NLPQL 8 96 0.977, 0.952, 0.000560 0.056% In addition, it is worth mentioning that the quadric approximate function is smooth up to avoid the numerical noise for engineering problem involving the numerical simulation.
Consequently, facing the numerical simulation used by FEM and CFD, the MDF-update-RSM can gain better result than the MDF procedure.
Consequently, the MDA uses the loosely coupling method in the FEM in which the aerodynamics and temperature will be boundary condition on the pressure and suction of blade interpolated from the CFD result.

Study on the external insulation system with curtain wall for fire prevention based on numerical simulation Miao Zhang1,2,a, Wenhua Song1, Zhaopeng Ni3 and Xin Huang3 1Environment and Chemistry College, Tianjin Polytechnic University Tianjin, 300387, China 2Hebei District Fire Brigade,Tianjin, 300100, China 3Tianjin Fire Research Institute of Ministry of Public Security,Tianjin, 300381, China azhangmiao713@126.com Keywords: building curtain wall; external insulation system; fire protection; FDS; numerical simulation Abstract.
Heat insulation effect of three fire prevention construction Numerical simulation of external insulation system fire A.
Simulation tool FDS is a computational fluid dynamics (CFD) model whose simulation object is fluid motion in fire.
This model uses numerical method to solve N-S equation of low Mach number flow simulation driven by fire buoyancy, and focus on the calculation of smoke and heat transfer process [5].
Simulation results are displayed dynamically by Smokeview software, and its correctness and validity have been validated by a large number of experiments and practical application.

Numerical Simulation of the Oscillating Water Column inside a Vertical Cylinder in Regular Waves Using IHFOAM J.M.P.
In simulations without porous zone solves only the RANS equations.
In the simulation presented was used the version 2.2.2 of OpenFOAM®, installed in the Ubuntu 14.04LTS operating system.
For this, in future work, simulations will be conducted contemplated that influence.
[16] OpenFOAM, The Open Source CFD Tollbox – User Guide v.2.2.2, OpenCFD, 2013

Numerical Simulations of the Fluid Flow and Heat Transfer during a Solidification Phase Change of a Polymer in a Die Shixiong RenaP, Shasha DangPbP, Tao LuPc, TF∗FPT, Kuisheng WangPd PPSchool of Mechanical and Electricial Engineering, Beijing University of Chemical Technology, Beijing 100029, China PaPrenshx@mail.buct.edu.cn, PbPdangshas@163.com, PcPlikesurge@sina.com, PdPwangks@mail.buct.edu .cn Keywords: Numerical Simulation, Fluid Flow, Heat Transfer, Solidifying Phase Change, Polymer, Die Abstract.
Numerical simulation provides a reliable method to optimize the design of the die, the choice of metallic material for the die, and the operating conditions of the polymer pelletizing under water.
In recent years, a considerable amount of progress has been made in the analysis and simulations of polymer flow for non-Newtonian fluids undergoing solidification, in order to optimize the process and improve the product quality.
In this work, the temperatures, velocity distributions and phase changes for dies with different temperatures of the inlet polymer and the cooling water, and different convection heat transfer coefficients of the thermal oil were obtained by numerical simulation with the CFD software, Fluent.
Governing equations Figure 2 Heat transfer in the die Simulations of the heat transfer in the die shown in Figure 2 are described.

Thermal Analysis of Cold Plate for Motor Controller Based on Fluent Guilin Lin1, 2, a, Guoqing Xu1, 2, 3, b, Weimin Li1, 2, c and Binbin Liu1, 2, d 1 Shenzhen Institutes of Advanced Technology, The Chinese Academy of Sciences, Shenzhen, 518055, China 2 Shenzhen Key Laboratory of Electric Vehicle Powertrain Platform and Safety Technology, Shenzhen, 518055, China 3 Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong, China agl.l@siat.ac.cn, bgq.xu@siat.ac.cn, cwm.li@siat.ac.cn, dff.liu@siat.ac.cn Keywords: Motor Controller; Cold Plate; Thermal Analysis; Fluent; Numerical Simulation Abstract.
Along with the development of computer technology and numerical method, CFD (computational fluid dynamics) was more extensive application in recent years.

Thermal modeling based on FEA-CFD is carried out by using ANSYS and FLUENT.
The simulation results demonstrate that the innovative tooling design concept can effectively reduce tool temperature away from the extremely high temperature and sensing the cutting temperature at tool tip.
Different mechanical load conditions have been analysed using the simulation software ANSYS to size and optimise the cutting insert.
The simulations showed that a thickness of 1mm of the insert and a wall thickness 0.7mm towards the flank face are sufficient to withstand the moderate mechanical loads.
The simulation parameters used are listed in Table 1.