User-Defined Machining Feature Recognition Based on Semantic Reasoning for B-rep Models

Machining features play a crucial role in the integration of CAD and CAM. Owing to the diversity of product structures, machining methods, equipment and tools, it is necessary to develop an open, shareable and extensible machining feature recognition methods. This paper employs ontology-based semantic technology and proposes an open knowledge-driven machining feature recognition method. Using ontology and knowledge rules users can define the machining features to be recognized according to specific shape structures, machining methods, and tools. The recognition system converts the part B-rep model into a set of machining face knowledge graphs labeled by ontology, and then performs semantic reasoning for the created knowledge graphs according to the defined knowledge rules. Finally a set of machining features are recognized based on reasoning results. The presented recognition approach has been realized using C++ programming in NX system. The testing results of case study demonstrate feasibility and good openness of the presented method. © 2023 CAD Solutions, LLC.