Journal of Qingdao University(Engineering & Technology Edition), Volume. 40, Issue 2, 52(2025)

The Constructing of Knowledge Graph for Workpiece Machining Distortion

QI Hao1, LI Xiaoyue1、*, SUN Zhaoze1, GUO Yue2, and TAO Qiang1
Author Affiliations
  • 1College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 266071, China
  • 2Qingdao Haier Biomedical Co., Ltd., Qingdao 266000, China
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    References(4)

    [1] [1] AKHTAR W, LAZOGLU I, LIANG S Y. Prediction and control of residual stress-based distortions in the machining of aerospace parts: a review[J]. Journal of Manufacturing Processes, 2022, 76: 106-122.

    [6] [6] KO H, WITHERELL P, LU Y, et al. Machine learning and knowledge graph based design rule construction for additive manufacturing[J]. Additive Manufacturing, 2021, 37: 101620.

    [7] [7] DING C, QIAO F, LIU J, et al. Knowledge graph modelling method for product manufacturing process based on human-cyber-physical fusion[J]. Advanced Engineering Informatics, 2023, 58: 102183.

    [13] [13] CUI Y M, CHE W X, LIU T, et al. Pre-training with whole word masking for chinese bert[J]. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2021, 29: 3504-3514.

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    QI Hao, LI Xiaoyue, SUN Zhaoze, GUO Yue, TAO Qiang. The Constructing of Knowledge Graph for Workpiece Machining Distortion[J]. Journal of Qingdao University(Engineering & Technology Edition), 2025, 40(2): 52

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    Paper Information

    Received: Nov. 10, 2024

    Accepted: Aug. 22, 2025

    Published Online: Aug. 22, 2025

    The Author Email: LI Xiaoyue (xiaoyuelee@qdu.edu.cn)

    DOI:10.13306/j.1006-9798.2025.02.008

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