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The authors established a closed-loop control system of greenhouse temperature for multi-index optimization by CFD modeling [2].
Simulations and Results In the previous sections, we propose a greenhouse fuzzy neural network controller.
The simulation curves are demonstrated in Fig. 4.
The humidity simulation curves of our controller and PID controller are shown in Fig. 5.
Multi-index GA Optimal Control of Greenhouse Temperature Based on CFD Model, Transactions of the Chinese Society for Agricultural Machinery, Vol.3, 2013, pp. 035

Over the last decades, attempts have been made to predict the melt pool shape of an ESR ingot using CFD models [4-6].
The required modeling equations are implemented in the commercial CFD software, FLUENT-ANSYS v.14.5, using User-Defined Functions (UDF).
The simulation results were verified against experimental ingot (Fig. 2(c)).
Different interdendritic melt flow and different shape of the melt pool were predicted in the two simulations.
Holzgruber, CFD Modeling and simulation in materials processing, Wiley publication, USA, 2012, pp. 139-148

The cloud simulation platform can provide professional online water environment simulation to customers by submitting their basic information.
Cloud Simulation Platform.
It provides online simulation services through the established professional water quality simulation model[3].
Technology Roadmap Call FLUENT With C# The FLUENT is a kind of CFD (Computational Fluid Dynamics) software launched by the company named FLUENT (USA).
New Scheme of Simulation Summary The purpose of this paper is to establish a water environment cloud simulation platform.

The other two compartments are always safe during the simulation time.
Simulation Method Large eddy simulation is the default mode of FDS and chosen as the simulation method in this paper.
In views of temperature, other compartments are always safe until the end of the simulation.
In views of visibility, other compartments are always safe until the end of the simulation.
"CFD simulation and assessment of life safety in a subway train fire."

Though current digital simulation still seems inaccuracy in the calculation of detailed wind pressure on building surfaces, it has assumed fine accuracy and employment value on the reproduction of overall wind condition, thus can be applied to the simulation analysis of settlement wind conditions.
Among all the software for wind condition simulation and analysis, Fluent and Phoenics are relatively widely used.
But an overall evaluation of the design proposal or built environment of a settlement involves various key technologies, such as the thermal environment simulation, computational fluid dynamics (CFD), property analyses of the dwelling under-laying surface etc, At the same time, we can utilize Gis to analyze and evaluate whether the topographical environment suits the growth and development of a settlement, thus serve as the reference for location choosing.
[7] Murakami Wednesday，CFD and building environmental design，Beijing: China Building Industry Press，2007
[8] Ma Jian, Chen Guobiao; Mao Yalang，Study of wind environment around building complex based on CFD,Journal of Zhejiang University of Technology,2007,6：351-354

CFD simulations to determine the effect of the slot angle show that the performance of Savonius wind turbines with slotted blades decreases at a high tip speed ratio and a small slot angle (β = 5 °) results in better performance at a low tip speed ratio [6].
On The Effect of Slotted Blades on Savonius Wind Generator Performances by CFD analysis.
Slotted Blades Savonius Wind Turbine Performances Analysis by CFD.

Numerical Simulation of Atmospheric Flow Field around Highways Ying Jia 1, a, Chaochao Zheng 2,b 1,2School of Civil Engineering, Beijing Jiaotong University, 100044, China ajiaying1963@sina.com, bzhengchao.chao@163.com Keywords: Highways, Atmospheric Flow Field, Numerical Simulation Abstract.
Adopting the model of SST k-ω，this paper carries out a numerical simulation of the atmospheric flow field around the highway.
The theory core of simulating wind load is fluid dynamics (CFD) and corresponding numerical methods.
The control equation which the numerical simulation technology depends on is a set of partial differential equations [1], by which the flow of fluid in space can be described.
Numerical simulation the wind load and response of structure which based on the of the RANS [D].

Numerical Simulation of a Shell-and-tube Heat Exchanger with Special Form Helical Baffles Can Zheng1, a, Fei Wang1,b and Yonggang Lei1,c 1Taiyuan University of Technology, Taiyuan 030024,China aCarter153@126.com, bwfwfsir@126.com, c yongganglei@yahoo.cn Keywords: Helical baffle, Heat exchanger, Numerical simulation, Air fluid Abstract.
Comparative study, through numerical simulation, was undertook between the new helical baffles heat exchanger and segmental baffle board heat exchanger in shell side flow and heat exchange characteristics.
After models of both the new type helical baffles heat exchanger and segmental baffles heat exchanger with same geometric structure were set up ,numerical simulation was undertook in its shell side flow and heat exchange characteristic by CFD method[5].
The results of numerical simulation Flow field analysis.
(a) (b) Fig.5: (a) Pressure drop and heat transfer rate versus mass flow rate (b) Heat transfer rate under unit pressure drop versus mass flow rate Conclusion In this paper, the shell side of helical baffles heat exchangers on heat transfer characteristics analysis with numerical simulation method, comparing with segmental baffle board heat exchangers which have the same geometry structure.

Finally, this analysis was re-run using the custom shaped MFCs and the results of the thermal FEM analysis were imported into ANSYS Fluent in order to conduct a CFD analysis on the actuated geometry.
Table 1: Comparison of FEM results Fblock [N] Fblock, corrected [N] εfree [ppm] εfree, corrected [ppm] Manufacturer 923 1800 MFC Abaqus 715.8 915.4 1443 1814 % Error 22.4% 0.8% 19.8% 0.07% Thermal Abaqus 715.5 914.8 1376 1764 % Error 22.5% 0.9% 23.6% 2% Computation of Aerodynamic Forces (CFD Analysis) ANSYS Fluent was used for this CFD analysis to predict the aerodynamic forces in low Reynolds number flow generated on the deformed geometry in sideslip conditions.
Simulations were run at a wind speed of 10m/s over a wide range of sideslip angles (0<β<70).
Numerical Model The numerical simulations were conducted using a half-scale model of the full geometry due to the asymmetric nature of actuation.
The simulations were performed using a three dimensional time-steady CFD analysis for low-speed incompressible flow.

The Aerodynamic Characteristics of Bus in Different Lateral Locations of Steel Box-Girder Bridge Jiguo Zhou, Zhaotong Hu School of Highway, Chang’an University, Xi’an 710064, Shanxi, China Zhoujiguo_1986@126.com Keywords: vehicle-bridge system; numerical simulation; aerodynamic characteristics; critical wind speed; traffic safety Abstract: Choosing bus as the research object, the aerodynamic characteristics of bus in the coupling of wind-vehicle-bridge system were analyzed by CFD (Computational Fluid Dynamics) numerical algorithm.
Choosing the bus driving on the steel box girder bridge as the research model and applying CFD (Computational Fluid Dynamics) numerical simulation method, the main goal of this paper is to analysis the differences of aerodynamic characteristics of vehicle in different lateral lanes on steel box-girder bridge under the natural wind loads.