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Numerical simulations during the design stage of the selected centres of the modules identified (Table 1) confirmed the correctness of the assumed solutions.
Stand modules to be tested identified during prototype control Module Components Technical parameters Tests commissioned Calorimetric chamber Cooling system Tmin = 243 K Tmax = 343 K ΔT = 2 K Temperature and humidity tests Heating system Flaps Torque load system Gravity load system M = 30 Nm, Δ M = 0.5 Nm -90º ≤ α ≤ 90º Movement control in the entire range of inclination, moment control Electromechanical load system Linear load system Gravity load system F = 5 kN Δ F = 5 N S = 1400 mm Δ S = 0.5 mm Movement control during the shift, force control Electromechanical load system This concerns both MES analysis of individual modules responsible for the execution of mechanical loads and CFD thermal calculations for a calorimetric chamber.
The initial algorithm of the control of the test chamber was developed with the use of CFD analysis results.

Establishment of Simulation Model As a simulation software of engine performance, GT-Power could be applied to the coupled simulation of the process of the acoustics performance and air dynamic characteristics with the graphical processing program GEM3D and various noise and acoustic analysis modules.
Fig. 1 Improved design of original exhaust Fig. 2 3D acoustic mode of original exhaust muffler muffler Establishment of Engine Model, Through the 1D CFD simulation of the GT-Power software, the engine system is divided into different functional modules of object-oriented programming, and the template library is established by storing the general function modules.
Then form a simulation program related input/output parameters of practical engine by connecting these objects for organic integration.
Engine power simulation value is 7.76 kw (6000 rpm) and the actual test results for 8.02 kw (6000 rpm), the maximum torque simulation value is 13.6 N.m (4600 rpm) and the actual maximum torque testing value for 14.2 N.m (4000 rpm).
So, the power error and torque error are less than 5%, it makes this simulation model of engine working process valid for the analysis of exhaust.

Design and Experimental Research of a New Horizontal Wave and Flow Generation Device Shiming Wang a,Daotao Lei*b College of Engineering, Shanghai Ocean University,Shanghai, China aemail: smwang@shou.edu.cn, bemail:465363502@qq.com Keywords: Energy crisis, Ocean energy, Model simulation, Turbine, Power generation Abstract.
Figure 5 (a), (b) are given a five-blade and six-blade flow field analysis to use fluent6.3[8-10]software for a two-dimensional flow field numerical simulation ,which makes comparison of the influence of diffenent number of blades on flow field.
ANSYS13.0 Workbench numerical simulation technology[M].
Fluent12 fluid analysis and engineering simulation [M].
The design of ocean data buoys on CFD [J].

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.

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.

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.

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.

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.

Studies on the carbon dioxide microchannle heat exchanger of scholers all over the world mainly concentrated on the numerical simulation analysis with measurable mathematical models.
For example, Tso, Mahulikar and Brinkman [4], Weisberg [5], Liao [6] , Rao zhenghua and Liao shengming et al [7], Huang dongping and Ding guoliang et al [8], Kirkwood [9], Lu Ping and Chen Jingping et al [10], Stief [11], Peles [12], Jabardo [13], Yin and Bau [14] et al have done researches on the microchannel heat exchanger theoretically with texture parameters numerical simulation and simulation with CFD method.
Numerical simulation and performance optimization of the carbon dioxide microchannel gas cooler[J]．Chemical engineering journal, 2005, 56(9):1721-1726
Lu ping, Chen Jingping．Numerical Simulation of Flow Distribution in the Microchannel Parallel Flow Gas Cooler [J]．Applied science journal, 2007, 25(3)

All parameters were simulated using computational fluid dynamic, CFD.
In addition, the fluid-particle interaction was considered in these simulations.
The average particle size of 205 mm was applied to be the representative particle in all simulations.
Effect of inlet diameter on separation efficiency from the simulations The plot of simulation results between separation efficiency and feed flow rate at various inlet diameters of 5, 6, and 7 mm were shown in Fig. 6.
Effect of body diameter on separation efficiency from the simulations The simulation of body diameter affecting on the separation efficiency of hydrocyclone was also studied as shown in Fig. 9.