A Feature Indexing and Case Retrieval Method of Sheet Metal Parts for CAD

Abstract

This paper presents a feature indexing and case retriveal method of machine parts for computer aided design (CAD) based on case-based reasoning (CBR). CBR is a promising method for assisting knowledge acquisition of expert systems. The new method is for standardization and efficient design of sheet metal parts using the CBR. Feature indexing and similarity calculation are key techniques for feasible CBR. A new feature indexing method and a new method of calculating similarities of sheet metal parts are described in this paper. Fuzzy measure is introduced for incorporating human measure of similarities of the parts. Using the indices, case retrieval is carried out.