Semantic Techniques for Representation and Identification of Part Families

The paper deals with the automatic feature recognition of workpieces and families formation. To generate part families, the used approach utilizes a frame based representation system both for data and for features. A clustering method is used to toke into account the morphology, the dimensions as well as the manufacturing sequences of parts. Being the procedure a self learning one, the introduction of new parts into the families is relatively simple.