Author
Listed:
- Klaus Wolf
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- Pascal Bayrasy
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- Carsten Brodbeck
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- Ilja Kalmykov
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- André Oeckerath
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
- Nadja Wirth
(Fraunhofer Institute for Algorithms and Scientific Computing SCAI)
Abstract
In this paper, the general concepts of multiphysical and multidisciplinary simulations are described. Concurrently, the neutral interface software tool set MpCCI is presented, which has been developed at Fraunhofer SCAI. The main tool MpCCI CouplingEnvironment offers the possibility to simulate the bi-directional interaction between different physical phenomena or disciplines. It builds a neutral interface where specialized simulation tools from different vendors can be coupled at run-time. The capabilities of the tool are illustrated for typical application domains, starting from fluid-structure interactions, through vehicle dynamics modeling, automotive thermal management and up to electrical engineering. The software MpCCI FSIMapper is a file-based tool, which allows to transfer data from a fluid dynamics or electromagnetic simulation result to a structural simulation. The mapped data serve as initial or boundary condition or as loading and thus lead to more realistic structural simulations. The third tool MpCCI Mapper enables to consider the whole manufacturing history of a component in a final proof simulation. Local material properties induced by metal forming and their influence to a crash load case or the local fiber orientation in composites in consequence of draping and molding are presented amongst others.
Suggested Citation
Klaus Wolf & Pascal Bayrasy & Carsten Brodbeck & Ilja Kalmykov & André Oeckerath & Nadja Wirth, 2017.
"MpCCI: Neutral Interfaces for Multiphysics Simulations,"
Springer Books, in: Michael Griebel & Anton Schüller & Marc Alexander Schweitzer (ed.), Scientific Computing and Algorithms in Industrial Simulations, pages 135-151,
Springer.
Handle:
RePEc:spr:sprchp:978-3-319-62458-7_7
DOI: 10.1007/978-3-319-62458-7_7
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