Peter Harman
deltatheta uk limited, UK
Download article
http://dx.doi.org/10.3384/ecp09430045Published in: Proceedings of the 7th International Modelica Conference; Como; Italy; 20-22 September 2009
Linköping Electronic Conference Proceedings 43:73, p. 637-640
Published: 2009-12-29
ISBN: 978-91-7393-513-5
ISSN: 1650-3686 (print), 1650-3740 (online)
An engineering process comprises stages of design; analysis and optimization; often with specialist tools and engineers in each of these areas. We look at how the interaction and communication between these stages can be tailored to maximize the robustness of the overall process; and what the role of Modelica is in achieving this. This is described for industrial examples. We then discuss the additional requirements of Modelica tools and libraries for such a process.
Engineering process; simulation strategy; parameter management; Product Lifecycle Management (PLM)
[1] Tiller; M. “An Analysis of Physical Modeling Requirements and Techniques”; SAE 2009
[2] Breitenecker; F. “Software for Modelling and Simulation - History; Developments; Trends and Challenges”; Simulation and Visualization 2006
[3] Stark; J. “Product Lifecycle Management (PLM): 21st Century Paradigm for Product Realisation”
[4] Jeffreys; M. “The Challenge of Introducing Product Lifecycle Management in Formula 1 and lessons for other organizations and sectors”. Matthew Jeffreys Consulting Ltd; 2007.
[5] Engelson; V. “Tools for Design; Interactive-Simulation; and Visualization of Object-Oriented Models in Scientific Computing”; Linköpings Universitet 2000
[6] “MODELISAR Project Profile” 2008 [online] http://www.itea2.org/public/project_leaflets/MODELISAR_profile_oct-08.pdf