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Knowledge Support for Virtual Modelling and Simulation

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Virtual Nonlinear Multibody Systems

Part of the book series: NATO ASI Series ((NAII,volume 103))

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Abstract

The paper describes an approach to providing knowledge support for virtual modelling and simulation (VMS). The design methodology, based on multidisciplinary virtual modelling and subsequent simulation, is essential for contemporary engineering design [1], but specifically for the design of complex mechatronic machines [3]. Additionally, current engineering design is multidisciplinary and therefore based on team work. The teams are often geographically distributed and would benefit from greater support for collaboration. Engineering design also draws heavily on previous experience and therefore it is essentially to build and maintain comprehensible and re-usable archives of previous cases. This is also true of simulation models.

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References

  1. Zdráhal, Z., Valášek, M. (1996) Modeling Tasks in Engineering Design, Cybernetics and Systems 27, 105–118.

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  2. Schön, D.A. (1988) Designing: rules, types and worlds, Design Studies 9, 181–190.

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  3. Valášek, M.(1998) Mechatronic System Design Methodology - Initial Principles Based on Case Studies, In J. Adolfsson and J. Karlsen (eds.), Mechatronics 98, Pergamon, Amsterdam, pp. 501-506

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  4. Valášek, M., Steinbauer, P., Zdráhal, Z. (2001) Knowledge Supported Conceptual Control Design Methodology Of Mechatronic Systems, In: Proc. of 2n1 Int. Conf. on Advanced Engineering Design, AED 01, Univ. of Glasgow, Glasgow, pp. 237–242.

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© 2003 Springer Science+Business Media Dordrecht

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Steinbauer, P., Valášek, M., Zdrahal, Z., Mulholland, P., Šika, Z. (2003). Knowledge Support for Virtual Modelling and Simulation. In: Schiehlen, W., Valášek, M. (eds) Virtual Nonlinear Multibody Systems. NATO ASI Series, vol 103. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0203-5_13

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  • DOI: https://doi.org/10.1007/978-94-010-0203-5_13

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-1340-9

  • Online ISBN: 978-94-010-0203-5

  • eBook Packages: Springer Book Archive

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