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    杨悦, 姚树磊, 刘长利, 张显程, 张成成. 叶片水射流表面强化工艺的数字孪生系统设计[J]. 华东理工大学学报(自然科学版), 2023, 49(2): 295-304. DOI: 10.14135/j.cnki.1006-3080.20220312002
    引用本文: 杨悦, 姚树磊, 刘长利, 张显程, 张成成. 叶片水射流表面强化工艺的数字孪生系统设计[J]. 华东理工大学学报(自然科学版), 2023, 49(2): 295-304. DOI: 10.14135/j.cnki.1006-3080.20220312002
    YANG Yue, YAO Shulei, LIU Changli, ZHANG Xiancheng, ZHANG Chengcheng. Design of Digital Twin System for Blade Water Jet Surface Strengthening Process[J]. Journal of East China University of Science and Technology, 2023, 49(2): 295-304. DOI: 10.14135/j.cnki.1006-3080.20220312002
    Citation: YANG Yue, YAO Shulei, LIU Changli, ZHANG Xiancheng, ZHANG Chengcheng. Design of Digital Twin System for Blade Water Jet Surface Strengthening Process[J]. Journal of East China University of Science and Technology, 2023, 49(2): 295-304. DOI: 10.14135/j.cnki.1006-3080.20220312002

    叶片水射流表面强化工艺的数字孪生系统设计

    Design of Digital Twin System for Blade Water Jet Surface Strengthening Process

    • 摘要: 水射流表面强化是一种有效提升航空发动机叶片疲劳寿命的工艺方法。针对水射流表面强化装备和工艺系统还不具备对强化工艺的监测、检测、预测和决策的能力,将数字孪生技术引入到水射流表面强化工艺。首先根据水射流强化工艺原理,明确了水射流表面强化的数字孪生系统的框架;其次在实体层、模型层、数据层、应用层以及数据传输5个层面上完成了数字孪生系统的设计,实现了物理系统的强化装备和工艺的虚拟映射,以及各层级之间的连接和交互。应用实例表明,所构建的数字孪生系统能够实时监测强化设备的工作状态、检测强化后叶片的表面完整性、预测特定强化工艺下的强化效果,为强化工艺的选择和优化提供决策支持。

       

      Abstract: Water jet surface strengthening is an effective way to improve the fatigue life of aeroengine blades. In view of the fact that the water jet surface strengthening equipment and process system have no ability to monitor, detect, predict and make decisions on the strengthening process, the digital twin technology is introduced into the water jet surface strengthening process. Firstly, according to the principle of water jet strengthening technology, the framework of digital twin system for water jet surface strengthening was defined; Secondly, the design of the digital twin system was completed at the five levels of physical level, model level, data level, application level and data transmission level, which realized the virtual mapping of the strengthening equipment and process in the physical world, as well as the connection and interaction between all levels. The application case showed that the developed digital twin system had the ability to monitor the condition of the strengthening equipment in real time, detect the surface integrity of the strengthened blade, predict the strengthening effect under the specific strengthening process, and provide decision support for the selection and optimization of the strengthening process.

       

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