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This article introduced the using of computer simulation to analysis the design progress in 3 aspects: space efficiency, low running energy-consumption and innocuous design of the life-cycle of building; discussed the method of using appropriate low-cost technologies to save energy and make comfortable indoor environment of college sports buildings, and finally argued that using low-cost technologies is effective way to design a green college sports building.
In order to achieve the best energy-saving effect, the project took advantages of CFD simulation technology.
Fig.6 Indoor wind field simulation Fig.7 Thermal pressure ventilation simulation Fig. 8 Natural ventilation contrast between windows installed wind diflactors and not The transmittance of membrane material of the stadium is more than 15%, associated with high side windows, the lighting demand can be satisfied during the day.

Thermal Flow Simulation The schematic drawing of vertical type twin-roll casting process is shown in Fig. 1.
Based on the assumptions steady-state simulations were performed.
The above simulation results show that the temperature distribution was non-uniform because of fixed dams and the different heat flux along roll width.
Experiments and simulation of thermal flow and solidification has verified the casting conditions and strip quality.
Tavares, Inter Conf on CFD in Mineral & Metal Processing and Power Generation CSIRO 1997, p. 41

Using a simulation environment is a key tool that reducing the relevance of the problems mentioned above.
Thus, the equal operation of control system units in simulation and in real tests is realized.
Simulation of AUV environment with obstacles as well as three-dimensional visualization is a separate simulator's module.
Fig.  4: “Fault Diagnostic” view In the search process simulation indication of object recognition is implemented.
"CFD-based method for simulation of marine-vehicle maneuvering." 35th AIAA Fluid Dynamics Conference and Exhibit, Toronto, Ontario Canada. 2005.

Developing Aerodynamics or Fluid Mechanics virtual experiment software by applying modern CFD[3] and computer technologies, letting students carry on experiments under virtual circumstances, is an effectual approach to solve the above problem, and development and application of virtual experiments will influence practical teaching revolutionarily.
Based on virtual environments (simulation platforms), virtual experiments are focusing on interactive operations and simulation of experimental results[5].The emergence of virtual experiments helps to develop students' learning interest, broaden the students' knowledge, and boost theoretical knowledge studying effectively.
In order to enhance emulational degree, the numerical simulation results based on computational fluid dynamics were corrected by consulting the real experimental results and a variety of professional documents.
For example, if the air flowed through the wing with sound effects, and equipments were introduced with a voice narration, the simulation effect would be better.
The Role of Computer Simulation Experiments in Physics Experiments Teaching.

Computational Fluid Dynamics, CFD, analysis is conducted for ventilation purposes to analyze air flow in overall surface.
CFD delivers fast design iteration and parametric studies to achieving accurate air flow predictions robustly and reliably.
CFD analysis takes place for all the variations.
CFD analysis gives ability to evaluate the velocity and pressure by the wind created in the outer shell to achieve accurate airflow predictions robustly and reliably.
In every generation, ‘differentiation’ is created from the process of creating varieties using computational modeling and simulation, from a simple anticlastic Hyperbolic Paraboloid surface.

The experiments depicted above are simulated using CFD software FLUENT.
The correctness of the numerical model is proved by preliminary simulation with silicon-oil.
The goal of this step was to show if the simulation with this set of parameters provides the same values for the rotational velocity ω and torque M. 1 1,2 1,4 1,6 1,8 2 2,2 20 30 40 50 60 Rotational velocity ωωωω [rad/s] Torque, M [mNm] Experiment Simulation, initial set of paramters Simulation, modified set of paramters Fig. 3: Comparison of the experimental results for torque M(ω) with the numerical results using initial and modified parameter set The results of the numerical simulations are shown in Fig. 3.
The grey curve in the diagram in Fig. 3 shows the results of the simulation with the modified parameter values.
Petera: Modelling and simulation of forming processes of metallic suspensions under non-isothermal conditions, J.

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.

The κ equation is derived in accordance with the strict equation derivation simulation, the ε equation is simulated by dimensionless analysis, analog and experience [5].
Fig 3 The three-dimensional mesh of poppet valve Fig 4 The grid in the xy plane of poppet valve 3.2.1 Simulation of Different Valve Element Internal Volume The volume of the valve plug inner cavity take V = 0mm3, 275mm3, 550mm3, 825mm3, shown in simulation diagram such as 6, 7and 8 are V = 275mm3, there are pressure, speed and kinetic energy of the poppet valve.
To sum up the valve element cavity volume should selected in the V = 275mm3. 3.2.2 Simulation of Different Valve Element Fillet The valve element fillet take R = 1mm, 1.4mm, 1.8mm, 2.2mm,when R = 1.4mm poppet valve’s pressure, velocity and kinetic energy of the simulation shown in figure such as 8, 9, and 10.
CFD Calculations of The Internal Flow Field of The Valve Element Movement of The Poppet Valve[D].Taiyuan,Taiyuan University of Science & Technology,2005
Examples and Applications of Fluid Engineering simulation[M].Beijin, Press of Beijin University of Science & Technology,2007

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).

By implementing Computerized Fluid Dynamic (CFD) method, Coanda-effect was introduced to get better flow characteristic (radial and tangential pressure - velocity profiles) on surface particle cleaning in AMR application.
The second phase of simulation and experiment of physical configuration.
The given parameters of the two-dimensional particle removal prototype for the numerical simulations are described in Table 5.
This was done by selecting a set of data from several design space through series of simulations.
Through the combination of decoupled form of CFD methods and key design parameters, the authors had successfully modelled and predicted the surface flow on fluids.