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The precipitation data were downloaded from the site www.cfd.calabria.it for the years 2002-2012.
To estimate the runoffvolume generated from the urban watershedand discharged into the detention tank, a software simulation of rainfall-runoff, the SWMM (Storm Water Management Model)is used.
The simulation time of SWMM was performed for the years 2002 to 2012 at hourly time steps on an annual basis.

In this paper, according to the working principle of electromagnetic valve, combining both magnetic circuit and circuit philosophy of injector, the mechanical movement of moving element of injector has been systematically analyzed, and the result of the theoretical analysis has been verified by using Finite Element Simulation of the electromagnetic field and flow field of injector. the results have positive significance for optimizing the design of injector.
a) δ=20μm b) δ=40μm c) δ=60μm d) δ=80μm Fig. 5 the cloud imagery of pressure for different δ by using the fluent CFD Fig. 5 show that heightening δ is benefit for increasing the fuel pressure, but it isn`t benefit for increasing F when δ is over than one value.
Optimization of Electronic Injector According to theoretical analysis and the finite element simulation, an original injector has been optimized as table1, and using the dynamic measurement system for test, optimization works well.

The optimal shape of the fin was also chosen through numerical simulation and tank test [6].
[8] Tetsuo Ichikizaki and Ikuo Yamamoto, “Development of High Performance Robotic Fish”, Proceedings of Techno- Ocean 2006 / 19th JASNAOE Ocean Engineering Symposium Kobe, JAPAN, October 18-20, Paper No.207,2006 [9] JSME: Technology samples Modulus of Elasticity of Metals p.99 [10] Biomechanical simulation Physical properties value Data base Japan Shizuoka Prefectural Industrial Technology Research Institute: http://cfd-duo.riken.go.jp/cbms-mp/ [11] Oppenheimer MJ, Mann FC: Intestinal capillary circulation during distention.

To be more precise, the variation of the thermoelectric parameters with temperature, thermoelectricity and heat flux at each control volume need to be considered, which will increase the complexity of simulations.
Turbulence Modeling for CFD.
Comparison of unstructured grid finite volume methods for cold gas hypersonic flow simulations.

Wu)* Keywords: Oscillatory Flow Reactor, Conic Ring Baffles, Temperature Field, 3-Dimensional Simulation.
The temperature field of conic baffled OFR was obtained by using the commercial CFD package CFX11.0.
Results and discussion Two groups of oscillatory Reynolds numbers are selected among a large number of simulation results which cover a range of Reo from 400 to 7000 with Reo=0 to illustrate the heat transfer mechanism in OFR.

For simulation the problem, a VOF method used and for verifying the accuracy of the simulation the results compared with two analytical researches and a good agreement was found.
The fluids considered in the simulations are water with viscosity and density and oil with viscosity and density.
Tan, "Theory and numerical simulation of droplet dynamics in complex flows-a review," Lab Chip, 4:25, 2004
Urbant, "Numerical simulations of drops in microchannels," M.Sc. thesis, Technion, 2006
Haynes, "On the CFD modeling of Taylor flow in microchannels," Chemical Engineering Science, 64, 2941-2950, 2009

This article investigates the effect of piston motion on combustion of four-stroke CNG FPE using a multidimensional simulation model.
A detailed expansion process model of free piston engine is derived and extensive simulation results were presented.
The simulations were performed with varied piston motion in the expansion process.
Fig.2 shows the computational mesh used in the simulations.
Simulation cases were setup for comparison the free piston motion velocity.

The different simulation models are established to calculate the performances of the MTUR.
During first simulation, the translating speed of the ribbon was 27 m/s, and the MTUR rotating velocity was 1475 rpm.
The air pressure force Fp is calculated by CFD (computer fluid dynamic) method with the ribbon length is 690 mm and air gap is 1mm, as shown in Fig. 5.
Magnetic flux density of the second take up step Simulation of the Second Take-up Step.
The second take-up simulation is to analyze the MAF whether enough to overcome the centrifugal force Fc.

Overview of MASTA software MASTA is a comprehensive CAE environment for the design, simulation & analysis of advanced transmission systems from concept through to manufacture.
Easily explore changes in transmission layout, component selection and/or design, materials and manufacturing processes in the convenience of a virtual environment Perform full system simulations for any transmission or driveline configuration Incorporate manufacturing simulation at the design stage to reduce process development time & cost Perform manufacturing tolerance studies  Major features of MASTA include: Design entire transmission and driveline systems using a comprehensive selection of components and design databases Gear tooth geometry optimization Durability analysis for gears, bearings, shafts & splines System deflection analysis & minimization System NVH analysis & optimization Loaded Tooth Contact Analysis Gear strength maximization Shaft Fatigue & Stress Analysis Shift Performance & Quality System Dynamics Gear Manufacturing Design and Simulation Housing & Shaft Deflection Gear Scuffing Analysis Drive Train Simulation Planetary Load Sharing Insight
The cutting-edge features within MASTA enable the rapid design, simulation and analysis of the entire system in order to meet these requirements [8].
It couples with CAD, finite element analysis (FEA), and computational fluid dynamics models (CFD) models of wind turbine systems, importing data on its housing, shaft, couplings, assembly, and boundary conditions to calculate bearing behavior based on real designs using actual nominal values, not estimates.
Smart Manufacturing Technology (SMT) is a world-leading company with a proven track record of supplying unique solutions and expertise for the design, simulation, analysis and development of complete transmission systems.

This paper reports the simulation and experimental results of a type of widely used load control valve.
The simulation results and the experiment data agree well and both results show a good performance of the valve.
According to the governing Eq. 1 ~ Eq. 9, the simulation model of the load control valve is developed in the modeling environment software package AMESim® (Advanced Modeling Environment for performing Simulations of engineering systems).
The simulation results of the displacement of the pilot spool and main spool are illustrated in Fig. 8.
The simulation results and experiment data agree well which allows further study on the valve by simulation.