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庄其鑫

硕士生导师

个人信息 更多+
  • 教师拼音名称: zhuangqixin
  • 所在单位: 机电工程学院
  • 学历: 博士研究生
  • 性别: 男
  • 学位: 博士学位
  • 在职信息: 在职
  • 主要任职: 准聘副教授

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A review of data-driven adaptive machining based on contact on-machine measurement

发布时间:2026-10-01
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所属单位:
机电工程学院
发表刊物:
Precision Engineering
关键字:
Data-driven adaptive machining; Contact on-machine measurement; Machining error modeling; Toolpath correction; Machining error suppression
摘要:
Contact on-machine measurement (COMM) plays a critical role in precision manufacturing by enabling high accuracy, high repeatability, and seamlessly integrated geometric data acquisition for complex structural parts. As a key driver of adaptive machining, COMM not only captures part geometry but also provides direct feedback for real-time toolpath correction and machining error compensation. Existing literature reviews on adaptive machining focus on intelligent fixture design and cutting parameter adjustment, while existing reviews on COMM primarily address measurement process planning and optimization. To date, a comprehensive review of COMM data-driven adaptive machining is lacking. Understanding how COMM data are processed, interpreted, and mapped to machining error correction is fundamental to advancing adaptive machining strategies. To bridge this gap, this paper presents the first comprehensive review of COMM data-driven adaptive machining, aiming to provide both a thorough reference and practical guidance for high-precision and intelligent manufacturing. This review begins by analyzing measurement data preprocessing and machining error modeling methods. On this basis, a detailed classification and comparative analysis of COMM data-driven strategies, including toolpath correction and machining error suppression, is provided, highlighting their respective principles, applicability, and performance in precision improvement. Finally, representative adaptive machining cases on complex structural parts are analyzed, and potential research directions and challenges are outlined. By systematically mapping the state-of-the-art, this review contributes to the advancement of precision engineering through deeper integration of COMM and closed-loop adaptive machining.
合写作者:
郭彦亨,万能,Soichi Ibaraki
第一作者:
成彬,庄其鑫
论文类型:
期刊论文
卷号:
102 (2026) 661–700
是否译文:
否
发表时间:
2026-07-23