Chapter . Automatic formation of rules for feature recognition in solid models
S.S. Dimov[a], E.B. Brousseau[a], R.M. Setchi[a]
Abstract
This paper discusses the application of inductive learning techniques for creation of rule sets that could be utilised for Automatic Feature Recognition (AFR) in 3D solid models. AFR techniques are an important tool for achieving a true integration of Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) processes. In particular, AFR systems allow the identification in CAD models of high-level geometrical entities, features that are semantically significant for manufacturing operations. In this paper, a method is proposed to meet the specific requirements imposed by the utilisation of inductive learning ...
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