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作 者:Ziyan Liu Zujie Zheng Lebao Wu Zuhua Jiang
机构地区:[1]School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China [2]Shanghai Spaceflight Precision Machinery Institute,Shanghai 201600,China
出 处:《Journal of Harbin Institute of Technology(New Series)》2025年第1期1-14,共14页哈尔滨工业大学学报(英文版)
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:After the design of aerospace products is completed,a manufacturability assessment needs to be conducted based on 3D model's features in terms of modeling quality and process design,otherwise the cost of design changes will increase.Due to the poor structure and low 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,a domain ontology model is established for aerospace product manufacturability assessment in this paper.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.
关 键 词:knowledge graph aerospace product manufacturability assessment rule matching
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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