Communication of Design Data in Manufacturing Democratization

Part design is the principal source of communicating intent to manufacturing and inspection. Design data are often communicated through computer-aided (CAD) systems. Modern analytics tools artificial intelligence integration into have significantly advanced machine recognition specification constraints. These algorithms require be uniformly structured easily consumable; however, represented in a graphical structure contain nonuniform structure, which limits use learning for variety tasks. This paper proposes an algorithm extracting dimensional from three-dimensional (3D) part designs manner. The extracts face dimensions their relationships with other faces, enabling underlying patterns expanding applicability various extracted can stored dimension-based numeric extensible markup language (XML) file, allowing easy storage machine-readable formats. resulting XML file provides representation based on features. proposed reads respect each design, preserving relevance. uniform facilitates processing by algorithms, detection hidden development pattern-based predictive algorithms.