AN ARTIFICIAL-INTELLIGENCE APPROACH FOR GENERATING ASSEMBLY SEQUENCESIN CAD CAM/

This paper presents an innovative artificial intelligence approach for generating assembly sequences on a consortium of database emulating e xpert systems. Procedures include shape and feature recognition using a model-based CAD (computer-aided design) analyser, data structure and data modeling, knowledge-based representation, and inference processi ng through a set of heuristics and rules. The main tool here is an obj ect-oriented concept as a means for managing geometrical data, topolog ical data and abstraction. Abstractions added to data semantics help t o build a knowledge base to meet assembly requirements. As a result, a n AI paradigm supports knowledge processing for the search of good sol utions and good decisions in the assembly process. An efficient implem entation of the integrated system has been achieved and successfully d emonstrated by results based on parts with varying complexities.