Manufacturing feature recognition method based on graph and minimum non-intersection feature volume suppression

Automatic manufacturing feature recognition (AFR) is a critical technology for realizing CAD/CAPP/CAM integration in the era of intelligent manufacturing. Despite numerous approaches that have been proposed, intersecting features remains challenge. The most important reason boundaries and their geometric topological information are altered or destroyed when interacting with other features. To address this problem, paper proposes method based on graph minimum non-intersection volume suppression. Firstly, part extracted represented as an attributed adjacency graph. Then, subgraph isomorphism algorithm designed to recognize corresponding each subgraph. After that, construct suppress recognized introduced repair On basis, separated at different stages. experimental results indicate proposed approach effective recognizing intersection Moreover, result incorporates surface feature, providing enriched engineering applications.