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Numerical thin liquid layer simulation For the numerical approach we used a commercial available CFD code, termed STAR-CCM+ from the company cd-adapco.
Figure 12: Numerical result of a typical liquid layer thickness distribution at 2 curved solid surfaces at t = 20 s Since an effective simulation means an optimal spatial and temporal resolution in combination with the real time effort of one simulation including post processing, verification simulations with different resolutions of the numeric mesh and transient time steps were performed (Fig. 13).
Since the computational resources were limited, the simulation time ended with 20 seconds in each simulation run.
This is due to the ideal initial conditions in the numerical simulation.
Furthermore, the simulation shows the liquid layer thickness distribution on the curved part of a solid, too.

China a jy0321scl@163.com, b bqgu@njut.edu.cn, c xlhngd@163.com Keywords: Volute casing, Strength, Stiffness, Centrifugal pump, Numerical simulation Abstract.
The strength and stiffness of the volute casing made of PMMA used for PIV measurement were investigated by fluid-structure interaction (FSI) simulation in consideration of the impeller-volute interaction.
Because the deformation of the volute casing has a relatively small effect on the flow field in centrifugal pumps, CFD and FEA solutions can be conducted independently, with loads transferred in only one direction.
The fluid pressure and shear stress obtained by CFD analysis were loaded on the inner surfaces of volute casing and suction chamber.
The method for calculating the strength and stiffness of the volute casing by fluid-structure interaction simulation using FLUENT and ABAQUS software was proposed, and a volute casing suitable for the present research was designed.

Numerical simulation Abstract.
This article simulation studies the thermal Characteristics of a lower temperature phase change materials (PCMs) using in the building energy storage by two different models.
In the process of phase change, liquid phase is used as two ways of heat exchange: pure heat conduction and natural convection, and we exploit CFD software to carry out numerical simulation.
Simulation of working conditions can be seen in table 1, thermal properties of the phase change materials as shown in table 2. 2 Comparing of Different Models Simulation Results At the same time under the conditions, in the process of melting solidification, the simulation results of two models: pure heat conduction and natural convection are shown in Fig 1 and Fig2, it is showed: Under the same heating temperature, natural convection model simulation results in the proportion of liquid-phase (the red part) is large than pure heat conduction model, described phase change materials melt fast, showed that the natural convection in the melting process is to accelerate the speed of melting.
Hea Transfer. 1982(2):75-80 [4] Marilena,Giangi.Phase change problems with free convection: fixed grid numerical simulation.

Three different turbulence models namely the standard k-, Shear Stress Transport (SST) and Scale Adaptive Simulation Shear Stress Transport (SAS SST) were tested for their ability to predict the flow structure generated by a synthetic jet.
Yao et al. [2] performed experiments to provide a detailed flow field database of the formation of synthetic jet in quiescent air for the CFD validation study.
(a) (b) (c) Figure 4 Instantaneous velocity vectors in the maximum expulsion stage: (a) Standard k-, (b) SST and (c) SAS SST Figure 5 depict the velocity profiles based on simulation predicted from different turbulent models.
(a) (b) (c) Figure 6 Instantaneous velocity vectors in the maximum suction stage: (a) Standard k-, (b) SST and (c) SAS SST Figure 7 Velocity profile in the middle of the orifice during the maximum suction stage Summary Numerical simulation of the turbulent synthetic jet interacting with cross flow in a microchannel has been invesgated.
Harris, Synthetic Jet Flow Field Database for CFD Validation, 2nd AIAA Flow Control Conference, Portland, Oregon (2004)

asonghaow@hotmail.com, bkatamaybus@hotmail.com, cleowu@moldex3d.com,dtranmanh12@gmail.com Keywords: Re-design, Virtual Manufacturing, CFD, Moldex, Simulation, Plastic Injection Abstract.
With the reverse design method, the real geometry after manufacturing process (by simulation) was predicted.
Based on the results from simulation, it is clear that 4 pin gates are better choice.
In conclusion, original designed parameters could be modified, with the help of virtual manufacturing (by simulation) to make the assembly more accurately efficiently.
Conclusions This study is using reverse design method to calculating the real geometry after manufacturing process (by simulation).

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].

For the numerical solution it is used the computational fluid dynamic (CFD) code, based on the finite volume method (FVM).
For the numerical solution it is used the computational fluid dynamic (CFD) code FLUENT®, based on the finite volume method (FVM).
In the simulations of this study, two different phases are considered: air and water.
For the numerical solution it was used the computational fluid dynamic (CFD) code, based on the finite volume method (FVM).
Elangovan, Simulation of irregular waves by CFD, World Academy of Science, Engineering and Technology, V. 5, pp- 427-431, 2011

Along with the rapid development of China's economy, the CFD technology has become an indispensable new technology in industrial production, and it plays an important role in the development of industry.
The investigation was carried out in a mixer, which its internal flow of the 3-d numerical simulation.
Through the simulation result, can conclude that the numerical simulation method can truly reflect the interior complicated flow state of mixing machine, and can provide theory basis for the design and improvement of the mixing equipment.
The mixer 3-d model and grid partition This research based on FLUENT6.3 simulation software, analogue simulation selected mixer geometrical modeling and the grid division by GAMBIT software.
The technology progress of computational fluid dynamics simulation in mixing machine[J].

Feng et al.7 conducted the measurement and numerical simulation of the periodical flow in the guide vane of a low specific speed centrifugal pump with the mixed guide vane, which provided abundant data for the further optimization of the guide vane/blade interferences.
Nowadays, more and more CFD and experimental studies are devoted to very small details of the machine performance, such as the interaction between the guide vane and the impeller.
[3] Bonaiuti D., Zangeneh M., Artojarvi R., Parametric design of a waterjet pump by means of inverse design, CFD Calculations and experimental analyses[J].
[7]Feng, J.J., Benra F.K., Dohmen, H.J., Investigation of periodically unsteady flow in a radial pump by CFD simulations and LDV measurements[J].
[8] Huang, S., Mohamad, A.A., Nandakumar, K., et al., Numerical simulation of unsteady flow in a multistage centrifugal pump using sliding mesh technique[J].

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