Title :
Knowledge-Intensive Process Modelling in Engineering Design
Author :
Mayer, Wolfgang ; Muhlenfeld, A. ; Stumptner, Markus
Author_Institution :
Adv. Comput. Res. Centre, South Australia Univ., Adelaide, SA
Abstract :
While design processes in certain domains have shifted towards early adoption of simulation and virtualization techniques, processes monitoring and reuse is not well-integrated into current development practices. We introduce a framework to integrate Multidisciplinary design optimisation processes using ontological engineering, where artefact and simulation models are exploited to yield more effective optimisation-driven development. We show how meta-modelling techniques can overcome representational and semantic differences between analysis disciplines and execution environments.
Keywords :
CAD; digital simulation; engineering computing; ontologies (artificial intelligence); optimisation; engineering design; knowledge-intensive process modelling; meta-modelling techniques; multidisciplinary design optimisation process; ontological engineering; optimisation-driven development; process monitoring; process reuse; simulation techniques; virtualization techniques; Automotive engineering; Computational modeling; Design engineering; Design optimization; Engineering management; Information analysis; Knowledge engineering; Manufacturing processes; Ontologies; Process design; Ontologies; Process Modelling;
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-0-7695-3299-8
DOI :
10.1109/DEXA.2008.130