Knowledge Graph-Based Machining Process Route Generation Method

被引:0
|
作者
Guo, Jiawei [1 ]
Wu, Jingjing [1 ]
Bian, Jixuan [2 ]
He, Qichang [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
[2] China North Vehicle Res Inst, Transmiss Syst Technol Dept, Beijing 100072, Peoples R China
关键词
Machining process knowledge; Knowledge graph; Machining feature topology; Process route template;
D O I
10.1007/978-3-031-35132-7_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
To address the problem that machining process instance documents cannot be effectively reused, the machining process knowledge graph was established, which classifies the machining process knowledge into multiple dimensions and defines the domain conceptual knowledge model using entities, entity attributes and entity relations in each dimension. The machining process model was established based on the machining feature topology of parts, and the knowledge management was carried out on the machining process examples of typical parts. The matching rules of machining features were formulated, the similarity calculation method of the feature topology of parts was designed, the most similar process route template was matched, and the process of the machining standard features was reused. Finally, the method was verified effectively in a machining process design of a shaft part.
引用
收藏
页码:35 / 48
页数:14
相关论文
共 50 条
  • [31] The Method of Machining Process Parameter Generation Based on MBD
    Ding, Pengpeng
    Zheng, Xiaohu
    Zhang, Jie
    Liu, Shimin
    Ren, Changwei
    [J]. 2018 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND TECHNOLOGIES (AIAAT 2018), 2018, 435
  • [32] Evolving Knowledge Graph-Based Knowledge Diffusion Model
    Yang, Caiyi
    Fu, Luoyi
    Gan, Xiaoying
    [J]. 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [33] PlagueKD: a knowledge graph-based plague knowledge database
    Li, Jin
    Gao, Jing
    Feng, Baiyang
    Jing, Yi
    [J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2022, 2022
  • [34] Knowledge Graph-Based Assembly Resource Knowledge Reuse towards Complex Product Assembly Process
    Shi, Xiaolin
    Tian, Xitian
    Gu, Jianguo
    Yang, Fan
    Ma, Liping
    Chen, Yun
    Su, Tianyi
    [J]. SUSTAINABILITY, 2022, 14 (23)
  • [35] An Explanation User Interface for a Knowledge Graph-Based XAI Approach to Process Analysis
    Fuessl, Anne
    Nissen, Volker
    Heringklee, Stefan Horst
    [J]. ADVANCED INFORMATION SYSTEMS ENGINEERING WORKSHOPS, CAISE 2024, 2024, 521 : 72 - 84
  • [36] Knowledge graph-based manufacturing process planning: A state-of-the-art review
    Xiao, Youzi
    Zheng, Shuai
    Shi, Jiancheng
    Du, Xiaodong
    Hong, Jun
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2023, 70 : 417 - 435
  • [37] Graph-based software process management
    Heimann, P
    Krapp, CA
    Westfechtel, B
    Joeris, G
    [J]. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 1997, 7 (04) : 431 - 455
  • [38] Graph-Based Process Model Matching
    Tsagkani, Christina
    [J]. BUSINESS PROCESS MANAGEMENT WORKSHOPS( BPM 2014), 2015, 202 : 573 - 577
  • [39] Graph-Based Method for Fault Detection in the Iron-Making Process
    An, Ruqiao
    Yang, Chunjie
    Pan, Yijun
    [J]. IEEE ACCESS, 2020, 8 : 40171 - 40179
  • [40] An automatic machining process decision-making system based on knowledge graph
    Guo, Liang
    Yan, Fu
    Lu, Yuqian
    Zhou, Ming
    Yang, Tao
    [J]. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2021, 34 (12) : 1348 - 1369