DocumentCode :
3502851
Title :
Knowledge-based system for assembly process-planning
Author :
Rabemanantsoa, M.
Author_Institution :
Dept. de Genie Ind., Ecole Poly. de Montreal, Que.
fYear :
1993
fDate :
30 Aug-3 Sep 1993
Firstpage :
267
Lastpage :
272
Abstract :
The paper discusses the feasibility of coupling AI (artificial intelligence) with an object-oriented database in the CAD/CAM environment. The products or parts are designed with the parametric and feature-based solid modeling Pro/Engineer. The authors go beyond data structures to integrate information about the assembly knowledge base. They design an object-oriented database called SISDES for modeling the data along with handling logic based reasoning of graph representation. The output is a knowledge-based system which integrates automated feature-recognition plus position and orientation needed for part mating. In this context, they define the possibility of contact and relative mobility for each pair of components. This latter becomes part of an AI module called XGEN (Assembly Sequences Generation) developed for knowledge processing and generating assembly sequence, i.e. the CAM activities
Keywords :
CAD/CAM; computer aided production planning; deductive databases; knowledge based systems; object-oriented databases; AI; Assembly Sequences Generation; CAD/CAM environment; Pro/Engineer; SISDES; XGEN; artificial intelligence; assembly knowledge base; assembly process-planning; data structures; feature-based solid modeling; feature-recognition; graph representation; logic based reasoning; object-oriented database; part mating; Artificial intelligence; Assembly systems; CADCAM; Computer aided manufacturing; Design automation; Design engineering; Knowledge based systems; Object oriented databases; Solid modeling; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering Standards Symposium, 1993. Proceedings., 1993
Conference_Location :
Brighton
Print_ISBN :
0-8186-4240-8
Type :
conf
DOI :
10.1109/SESS.1993.263943
Filename :
263943
Link To Document :
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