DocumentCode :
492238
Title :
Knowledge Representation for Knowledge-based Generative CAPP
Author :
Wang, Jun ; Meng, Qingzhi
Author_Institution :
Dept. of Mech. Eng., Yanshan Univ., Qinhuangdao
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
1010
Lastpage :
1013
Abstract :
In this paper we discuss the features and knowledge representation issues involved in knowledge-based generative CAPP because CAPP is not only related to CAD and but also knowledge about manufacturing. As many forms of knowledge are needed in knowledge-based generative CAPP, with the features we defined based on the cutting tools for the feature machining, we discuss the knowledge representation about the part description, and manufacturing resources knowledge which are manufacturing operations, cutting tools, machine tools. All this knowledge is connected by the features defined to help knowledge-based generative process planning and also this knowledge can have a link to the feature-based part modeling. With the features defined, all knowledge is no longer stand alone knowledge so that it can support knowledge-based generative CAPP well.
Keywords :
CAD/CAM; computer aided production planning; cutting tools; knowledge based systems; knowledge representation; machine tools; manufacturing resources planning; process planning; CAD/CAM; computer aided process planning; cutting tool; feature machining; knowledge representation; knowledge-based generative CAPP; machine tool; manufacturing resources knowledge; Computer aided manufacturing; Cutting tools; Fixtures; Knowledge representation; Machine tools; Machining; Manufacturing processes; Process planning; Production facilities; Pulp manufacturing; feature; generative CAPP; knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
Type :
conf
DOI :
10.1109/KAMW.2008.4810663
Filename :
4810663
Link To Document :
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