Alexander Siemers
Dept. of Computer and Information Science, Linköpings universitet, Sweden
Dag Fritzson
SKF Engineering Research Centre, MDC, RKs-2
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Ingår i: The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007); 30-31 October; 2007; Göteborg (Särö)
Linköping Electronic Conference Proceedings 27:13, s. 109-116
Publicerad: 2007-12-21
ISBN:
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
A general approach for modeling of mechanical system co-simulations is presented that is built upon the previously defined general framework for TLM cosimulations and co-simulation meta-modeling.
Co-simulation is one technique for coupling different simulators into one coherent simulation. Existing cosimulation applications are often capable of interconnecting two specific simulators where a unique interface between these tools is defined. However; a more general solution is needed to make co-simulation modeling applicable for a wider range of tools. Any such solution must also be numerical stable and easy to use to be applicable by a larger group of people.
In this work the concept of meta-modeling is applied to mechanical co-simulation. Several tool-specific simulation models can be integrated and connected by means of a meta-model; where the meta-model defines the physical interconnections of these models.
A general meta-modeling process is described that represents the basis for this work. A meta-modeling language (MML) has been defined to support the modeling process and store the meta-model structure. Besides elements for physical interconnections; etc.; the language also defines graphical elements that can be used for meta-model visualization. All proposed solutions are general and simulation tool independent.
A general meta-modeling process is described that represents the basis for this work. A meta-modeling language (MML) has been defined to support the modeling process and store the meta-model structure. Besides elements for physical interconnections; etc.; the language also defines graphical elements that can be used for meta-model visualization. All proposed solutions are general and simulation tool independent.
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