DocumentCode :
2308517
Title :
Towards a knowledge based design assistance system
Author :
Goldhammer, L. ; Woyand, H.-B.
Author_Institution :
Dep. D, Mech. Eng., Univ. of Wuppertal, Wuppertal, Germany
fYear :
2011
fDate :
23-25 June 2011
Firstpage :
269
Lastpage :
274
Abstract :
Information and knowledge have become an important factor in product development. The approach of a CAD assistance system is for many companies a major step towards the future. For a successful integration of knowledge systems, the factors: knowledge management, KBE, object-oriented modeling, CAx-Automation and a multifunctional programming language, play a decisive role. In this paper we present an approach for a CAD assistance system based on the programming language Python. Python can control the CAD system CATIA V5 via Windows COM interface and also edit CAD data. An object-oriented modeling of CAD components facilitates a knowledge-based design. Simultaneously the knowledge of design can be created and formalized in a knowledge base (ontology). This ontology is also based on the programming language Python. Thus, an opportunity in Python has been created in which the CAD system and the knowledge management can be controlled and used in one level. Therefore this approach paves the way for a CAD-Automation or a CAD assistance system.
Keywords :
CAD; knowledge based systems; knowledge management; object-oriented programming; ontologies (artificial intelligence); product development; production engineering computing; programming languages; user interfaces; CAD assistance system; CAD system CATIA V5; CAD-Automation; Python programming language; Windows COM interface; knowledge based design assistance system; knowledge management; multifunctional programming language; object-oriented modeling; ontology; product development; Decision support systems; Helium; Knowledge based systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Conference_Location :
Poprad
Print_ISBN :
978-1-4244-8954-1
Type :
conf
DOI :
10.1109/INES.2011.5954757
Filename :
5954757
Link To Document :
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