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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.

., CFD analysis of a propeller flow and cavitation.
[4] Homer, A.F.S., Simulation of original versions.

In the MDA analysis loop, the 3D turbulent and steady flow characteristic is predicted by CFD software NUMECA firstly.
The dots in Fig.4 represent the real values of simulation, and the variables are the vane angles of blade profile.

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.

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.

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.

However, the application to natural river flow simulation is seldom.
The CE/SE method is not an incremental improvement of a previously existing CFD method, and it is different in both concept and methodology from well-established traditional numerical methods (such as finite difference method, finite element method, finite volume method etc.).

Numerical Studies on the Flow Field of Stator and Air Gap for Large Air-cooled Turbo-generator Jiade Han1,a, Guangyu Hong1,b, Lu Tang1,c and Yiping Lu1,d 1School of Mechanical & Power Engineering, Harbin University of Science and Technology, Harbin, China ajdhan110@yahoo.com.cn,bhong.guangyu@tom.com,ctl807705719@163.com Keywords: turbo-generators; cooling; air gap; fluid field; numerical simulation Abstract.
Numerical simulation was carried out by the finite volume method according computational fluid dynamics (CFD) principle, based on some corresponding boundary conditions and assumptions.
The simulation results reveals the regulation of the interaction among stator radial air supply, rotor swirl jet and axial flow in air gap.
The wall of rotating fluid zone is set up as rotating wall before simulation.

Using the numerical simulation method analyze the free diffusion process of poison gas (chlorine) and the effect that control - exhaust type emergency ventilation system on gas diffusion and transport in large space buildings.
this paper aims at emergency gas diffusion and transport control problems in large space buildings with obstacles, the application of CFD numerically simulates indoor obstacles affect of gas free diffusion, discusses the control-exhaust emergency ventilation technology with obstacles in large space buildings on gas diffusion and transport process control function.
Ventilating and air conditioning system would be shut down in the simulation considering it mainly analyzed the influence of the indoor obstacles on poison gas diffusion (as shown Fig. 1).
Numerical Simulation of Diffusion Process of Cl2 in Large Space Buildings with Obstacles The diffusion process and concentration distribution principle of Cl2 in control-exhaust mode of emergent ventilation.
The numerical simulation results of chlorine diffusion process and concentration distribution in the static air were shown in Fig. 6 and Fig. 7.