Research on a knowledge graph-based method for recommending machining process routes

To address the issues arising from the diverse sources, types, and models of technical documents in aerospace manufacturing, as well as the over-reliance on the expertise of process engineers in process route planning, a method for generating process routes with a broader adaptability is proposed. This method focuses on the process model and the process route knowledge graph. A systematic knowledge graph of machining process routes for large unmanned aerial vehicles (UAVs) is constructed, and process route planning is carried out based on the constraint satisfaction problem (CSP) model. A process knowledge graph is built using elements such as “operation”“operation group”“module”“route group”, and related rules. Based on process feature selection, a CSP model is established using subgraph isomorphism, and a backtracking algorithm is employed for solving the problem. The proposed method enables the recommendation of process routes. An instance is provided for the machining of a 30CrMnSiA material part to validate the model.