• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 62 ›› Issue (6): 65-86.doi: 10.3901/JME.260137

• 特邀专栏:轧制技术与智能化 • 上一篇    

扫码分享

高端装备大型环件网络协同智能轧制成形技术研发及应用

邓加东1,2,3,4, 关山月1,2,4, 汪小凯1,2,4, 钱东升1,3,5, 刘超6, 刘伟7, 华林1,2,4   

  1. 1. 武汉理工大学高温轻合金及应用技术全国重点实验室 武汉 430070;
    2. 武汉理工大学现代汽车零部件技术湖北省重点实验室 武汉 430070;
    3. 武汉理工大学湖北省材料绿色精密成形工程技术研究中心 武汉 430070;
    4. 武汉理工大学汽车工程学院 武汉 430070;
    5. 武汉理工大学材料科学与工程学院 武汉 430070;
    6. 无锡派克新材料科技股份有限公司 无锡 214100;
    7. 武汉理工大学计算机与人工智能学院 武汉 430070
  • 收稿日期:2025-09-30 修回日期:2025-12-26 发布日期:2026-05-12
  • 作者简介:邓加东,男,1988年出生,博士,副教授,博士研究生导师。主要研究方向为环类零件精密轧制技术。mail:dengjd@whut.edu..com
    关山月,男,1994年出生,博士,博士后。主要研究方向为超声无损检测技术。E-mail:gsyawesome@163.com
    汪小凯,男,1982年出生,博士,教授,博士研究生导师。主要研究方向为智能测控与无损检测技术。E-mail:wxk0919@whut.edu.cn
    钱东升(通信作者),男,1982年出生,博士,教授,博士研究生导师。主要研究方向为高性能构件成形制造技术。E-mail:qiands@whut.edu.cn
    刘超,男,1994年出生,学士,中级工程师,技术中心主任。主要研究方向为大型环件轧制技术。E-mail:869439095@qq.com
    刘伟,男,1978年出生,博士,副教授,硕士研究生导师。主要研究方向为智能算法与软件开发。E-mail:wliu@whut.edu.cn
    华林,男,1962年出生,博士,教授,博士研究生导师。主要研究方向为高性能成形制造技术与装备。E-mail:hualin@whut.edu.cn
  • 基金资助:
    国家重点研发计划(2024YFB3714200)、高等学校学科创新引智计划(B17034)、教育部创新团队发展计划(IRT_17R83)、国家自然科学基金(52475397)和湖北省中央引导地方科技发展专项(2023EGA010)资助项目。

Development and Application of Network Collaborative and Intelligent Ring Rolling Technology for High-end Equipment Large Rings

DENG Jiadong1,2,3,4, GUAN Shanyue1,2,4, WANG Xiaokai1,2,4, QIAN Dongsheng1,3,5, LIU Chao6, LIU Wei7, HUA Lin1,2,4   

  1. 1. State Key Laboratory of Light Superalloys, Wuhan University of Technology, Wuhan 430070;
    2. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070;
    3. Hubei Engineering Research Center for Green&Precision Material Forming, Wuhan University of Technology, Wuhan 430070;
    4. School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070;
    5. School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070;
    6. Wuxi Paike New Materials Technology Co., Ltd., Wuxi 214100;
    7. School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070
  • Received:2025-09-30 Revised:2025-12-26 Published:2026-05-12

摘要: 大型环件常用于航空、航天、能源等高端装备,其规格种类多、制造流程长、批量变化大,传统轧环制造中工艺设计、过程测控、质量检测等环节对人工经验依赖度高,会导致工艺稳定性差、产品质量波动大以及能耗高效率低等问题。为满足我国高端装备环件高质高效低碳制造需求,针对高端装备大型环件开展了网络协同智能轧制成形技术研究,突破了多品种变批量环件轧制数字化智能化工艺设计、过程测控、质量检测和网络协同运行等关键技术,开发了工业网络环境下计算机辅助工艺设计、过程测控、质量检测系统和设计-制造-检测全流程集成管控平台,建设了多条大型环件网络协同智能轧环示范产线,促进我国轧环生产从人工辅助半自动化模式到智能自动化模式升级。

关键词: 大型环件, 环件轧制, 智能设计, 智能测控, 智能检测, 网络协同

Abstract: Large rings are widely used in high-end equipment such as aviation,aerospace and energy. They have many specifications,long manufacturing process and large batch changes. The process design,process measurement and control,and quality inspection of traditional ring rolling production are mainly dependent on manual experience,which will lead to poor process stability,large product quality fluctuation,high energy consumption and low efficiency. In order to meet the needs of high-qality,high-efficiency and low-carbon manufacturing of high-end equipment rings in China,the research on network collaborative and intelligent ring rolling technology for large-scale rings of high-end equipment was carried out. The key technologies such as digital intelligent process design,process measurement and control,quality inspection and network collaborative operation of multi-variety and variable-batch ring rolling were broken through. The computer-aided process design,process measurement and control,quality inspection system and design-manufacturing-detection integrated management and control platform for the whole process under the industrial network environment were developed. Several large-scale ring network collaborative intelligent ring rolling demonstration production lines were constructed,which promoted the upgrading of ring rolling production from manual-assisted semi-automatic mode to intelligent automation mode in China.

Key words: large rings, ring rolling, intelligent process design, intelligent measurement and control, intelligent detection, network collaboration

中图分类号: