Knowledge Graph Construction and Rule Matching Approach for Aerospace Product Manufacturability Assessment

作     者：Ziyan Liu Zujie Zheng Lebao Wu Zuhua Jiang 

作者机构：School of Mechanical Engineering Shanghai Jiao Tong University Shanghai Spaceflight Precision Machinery Institute 

出 版 物：《Journal of Harbin Institute of Technology(New series)》 (哈尔滨工业大学学报(英文版))

年 卷 期：2024年

学科分类：08[工学] 081203[工学-计算机应用技术] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Sponsored by the National Key Research and Development Program from Ministry of Science and Technology of the People’s Republic of China (Grant No.2020YFB1711403) 

摘      要：As representatives of high-precision parts， aerospace products are characterized by complex structures， long production cycles and high precision requirements. After the design of aerospace products is completed， a manufacturability assessment needs to be conducted based on 3D model features in terms of modeling quality and process design， otherwise the cost of design changes will be increased. Due to the poor structure and reusability of product manufacturing feature information and assessment knowledge in the current aerospace product manufacturability assessment process， it is difficult to realize automated manufacturability assessment. To address these issues， this paper first establishes a domain ontology model for aerospace product manufacturability assessment. On this basis， a structured representation method of manufacturability assessment knowledge and a knowledge graph data layer construction method are proposed. Based on the semantic information and association information expressed by the knowledge graph， a rule matching method based on subgraph matching is proposed to improve the precision and recall. Finally， applications and experiments based on the software platform verify the effectiveness of the proposed knowledge graph construction and rule matching method.