• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (7): 97-113.doi: 10.3901/JME.260366

• 特邀专栏:系统工程与数字化 • 上一篇    

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数字技术赋能风洞全生命周期体系

杨毅晟1,2, 李明2, 杨泽源1, 闫喜强2, 严思杰1, 丁汉1   

  1. 1. 华中科技大学智能制造装备与技术全国重点实验室 武汉 430070;
    2. 中国空气动力研究与发展中心设备设计与测试技术研究所 绵阳 621003
  • 收稿日期:2025-03-06 修回日期:2025-12-01 发布日期:2026-05-25
  • 作者简介:杨毅晟,男,1993年出生,博士研究生。主要研究方向为装备数字化设计运维。E-mail:ethan_yang@hust.edu.cn
    李明,男,1990年出生,博士。主要研究方向为结构设计与安全性评估。E-mail:mingl20160101@hotmail.com
    杨泽源(通信作者),男,1995年出生,博士。主要研究方向为大型构件机器人磨抛技术,多模态信息感知及自适应控制。E-mail:yangzeyuan@hust.edu.cn
    闫喜强,男,1987年出生,博士,副研究员。主要研究方向为机械装备设计优化、装备数字化设计运维。E-mail:707348278@qq.com
    严思杰,男,1965年出生,博士,博士生导师。主要研究方向为数字化制造技术、数控装备与技术、CAD/CAM、机器人技术等智能制造。E-mail:ysj@hust.edu.cn
    丁汉,男,1963年出生,教授,博士研究生导师,中国科学院院士。主要研究方向为机器人加工、数字化智能化制造等。E-mail:dinghan@mail.hust.edu.cn

Digital Technology Empowered Wind Tunnel Whole Life Cycle System

YANG Yisheng1,2, LI Ming2, YANG Zeyuan1, YAN Xiqiang2, YAN Sijie1, DING Han1   

  1. 1. State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430070;
    2. Facility Design and Instrument Institute, China Aerodynamics Research and Development Center, Mianyang 621003
  • Received:2025-03-06 Revised:2025-12-01 Published:2026-05-25

摘要: 风洞是开展空气动力学试验研究的重要设备,对支撑航空航天飞行器发展、构建飞行器装备自主发展体系具有重要意义,是国家科技实力的重要体现。基于装备数字化、智能化发展趋势,梳理了复杂装备数字化发展历程;结合新一代飞行器发展试验需求,针对现行模式下风洞设计质效不高、运维方法手段简单低效等现实问题,提出了贯穿需求、设计、建设、试验、运维全生命周期的风洞装备数字化框架体系。以低速风洞为例,给出了风洞数字样机1.0至3.0的典型应用,梳理了风洞全域状态监测、风洞虚拟试验和风洞预测性维护等数字孪生应用场景。最后展望了风洞数字化潜在研究方向,包括跨学科/多尺度建模仿真、飞行性能试验/研发一体化、数据模型标准体系,期望为风洞装备全生命周期数字化管控体系建设提供方向建议。

关键词: 风洞, 数字样机, 数字孪生, 机器学习

Abstract: Wind tunnel is the vital facility for aerodynamic evaluation and research, which plays a pivotal role in advancing the development of aerospace vehicles and the construction of an independent flight equipment development system. It is a tangible representation of a nation's scientific and technological capabilities. In light of the ongoing digitisation and intelligence development of equipment, we have outlined the historical trajectory of complex equipment digitisation. With the emergency of the next generation aircraft evaluation requirement, a digital framework for wind tunnel full life cycle research is proposed. Throughout the requirement, design, construction, operation, maintenance, the framework is to solve the current limitation, which include the unstable quality and inefficient design, simple but inefficient maintenance. In the case of low-speed wind tunnels, the typical applications of wind tunnel digital prototypes 1.0 to 3.0 are presented, and the main application scenarios of digital twins, such as wind tunnel state monitoring, wind tunnel virtual test and wind tunnel prognostics and health management, are outlined. Finally, potential research directions of wind tunnel digitisation are discussed, including interdisciplinary-multiscale modeling and silulation, flight performance evaluation and design integration, model and data standard system. Through this research, we hope to provides a suggestion to conduct further development for the construction of a digital control system for the entire life cycle of wind tunnel equipment.

Key words: wind tunnel, digital prototype, digital twin, machine learning

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