Abstract
During product development, automatic feature recognition (AFR) techniques are an important tool for achieving a true integration of design and manufacturing stages. In particular, AFR systems offer capabilities for the identification in computer-aided design (CAD) models of high-level geometrical entities, features that are semantically significant for manufacturing operations. However, the recognition performances of most of the existing AFR systems are limited to the requirements of specific manufacturing applications. This chapter presents a new AFR method that facilitates the deployment of such systems in different application domains. In particular, the method provides a formal reasoning mechanism that combines the advantages of inductive and deductive techniques for feature recognition from Boundary Representation (B-Rep) part models. The proposed AFR method is implemented within a prototype feature recognition system and its capabilities are verified on a benchmarking part.
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