主管单位:中华人民共和国工业和信息化部
主办单位:西北工业大学  中国航空学会
地       址:西北工业大学友谊校区航空楼
航空发动机制造领域数字孪生技术的应用现状与展望
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1.中国航发动力股份有限公司;2.西北工业大学 航空发动机高性能制造工信部重点实验室;3.西北工业大学 航空发动机高性能制造工信部重点实验室 西安

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V37

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Digital Twin Technology in Aero-Engine Manufacturing: Current Applications and Future Prospects
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Affiliation:

1.AECC Aviation Power Co., Ltd;2.Northwestern Polytechnical University

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    摘要:

    数字孪生技术作为工业4.0时代的关键使能技术,在航空发动机制造领域具有重要的应用价值。本文系统地综述了数字孪生技术在航空发动机制造领域的应用现状、关键技术及发展趋势。首先,阐述了数字孪生技术的基本理论框架,详细分析了其五维模型特征以及在航空发动机制造领域的系统构建原则。其次,重点探讨了数字孪生技术在智能制造与工艺优化、质量控制与追溯、装配过程数字化管理等方面的具体应用。通过对发动机核心部件制造、涡轮叶片智能制造等典型案例的分析,深入阐述了数字孪生技术在提升制造效率、保证产品质量、降低制造成本等方面的显著效果。同时,文章系统总结了当前面临的数据获取与处理、模型精度与实时性、系统集成与互操作性等技术挑战,并对智能化与自主决策、全生命周期管理、跨领域融合应用等未来发展趋势进行了展望。研究表明,数字孪生技术的应用将显著推动航空发动机制造向智能化、精准化、高效化方向发展,对提升航空发动机制造水平具有重要的理论指导意义和实践价值。

    Abstract:

    As a key enabling technology in the era of Industry 4.0, digital twin technology has important application value in the field of aero-engine manufacturing. This paper systematically reviews the application status, key technologies, and development trends of digital twin technology in the field of aero-engine manufacturing. Firstly, the basic theoretical framework of digital twin technology is expounded, and its five-dimensional model characteristics and the principles of system construction in the field of aero-engine manufacturing are analyzed in detail. Secondly, the specific applications of digital twin technology in intelligent manufacturing and process optimization, quality control and traceability, and digital management of the assembly process are mainly discussed. Through the analysis of typical cases such as the manufacturing of core components of engines and the intelligent manufacturing of turbine blades, the remarkable effects of digital twin technology in improving manufacturing efficiency, ensuring product quality, and reducing manufacturing costs are elaborated in depth. At the same time, this paper systematically summarizes the current technical challenges such as data acquisition and processing, model accuracy and real-time performance, system integration and interoperability, and looks forward to the future development trends such as intelligent and autonomous decision-making, full life cycle management, and cross-domain integrated applications. The research shows that the application of digital twin technology will significantly promote the development of aero-engine manufacturing towards intelligence, precision, and high efficiency, and it has important theoretical guiding significance and practical value for improving the manufacturing level of aero-engines.

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历史
  • 收稿日期:2025-03-04
  • 最后修改日期:2025-06-16
  • 录用日期:2025-06-18
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