An artificial intelligence approach for generating assembly sequences in CAD/CAM

摘要

This paper presents an innovative artificial intelligence approach for generating assembly sequences on a consortium of database emulating expert 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 processing through a set of heuristics and rules. The main tool here is an object-oriented concept as a means for managing geometrical data, topological data and abstraction. Abstractions added to data semantics help to build a knowledge base to meet assembly requirements. As a result, an AI paradigm supports knowledge processing for the search of good solutions and good decisions in the assembly process. An efficient implementation of the integrated system has been achieved and successfully demonstrated by results based on parts with varying complexities.