Co-Simulation is a general approach to simulate coupled technical systems. In a master-slave concept the slaves simulate sub-problems whereas the master is responsible for both coordinating the overall simulation as well as transferring data. To unify the interface between master and slave the FMI for Co-Simulation was developed. Using FMI a master was implemented with simple and advanced algorithms which can be applied depending on the properties of the involved slave simulators. The master was tested amongst others by coupling with SimulationX.
Functional Digital Mock-up (FDMU) and Functional Mock-up Interface (FMI) are two keywords arising in the last years in simulation technology. In this paper, we would like to show that both principles, aiming at a comprehensive investigation of heterogeneous systems, e.g. from mechatronics, are not necessarily competing with each other but may be combined to benefit from the ideas behind. The approaches are based on different ideas and cover different aspects of the interaction of modern simulation tools. For that reason different constraints have to be considered, which do not make things easier. Both principles have advantages and disadvantages. However, by combining both ways, a powerful framework for handling a broad variety of simulation tasks can be formed. In the paper, a possible approach for integrating both technologies will be shown.
Design of micro systems, MEMS or mechatronic systems is dominated by the interaction of effects from different physical domains. One important approach to decrease the number of design cycles significantly is system level modeling and simulation. The main challenges for the efficient use of modeling and simulation are a systematic approach for behavioral modeling, automated model generation as well as powerful simulation frameworks. Especially for the latter flexible handling of different models of computation is crucial.
Functional aspects as well as the influence of integration technology on the system behavior have to be considered in the 3D integration design process of micro systems. Therefore, information from different physical domains has to be provided to designers. Due to the variety of structures and effects of different physical domains, efficient modeling approaches and simulation algorithms have to be combined. The article describes a modular approach which covers detailed analysis with PDE solvers and model generation for system level simulation
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