Geometric feature extraction in manufacturing based on a knowledge graph

In times of global crises, the resilience production chains is becoming increasingly important. If a supply chain interrupted, cost-effective solution must be established quickly. context Industry 4.0, concept smart manufacturing offers for fast and automated decision-making in planning. The core idea digitalization product life cycle linking individual phases this cycle. Computer Aided Process Planning (CAPP) plays an important role as connecting element between design manufacturing. An prerequisite CAPP analysis 3D models components. aim work development automatic feature recognition (AFR) -method to recognize geometric features their properties from 3D-models then store them knowledge base. that way, result can automatically analysed compared with information afterwards order achieve process Geometric topological model (STEP-AP242 format) generated by CAD systems extracted Python-script developed stored ontology-based data using identify features. To provide comprehensive extensibility model, are defined according layered hierarchical structure.