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

Release time:2026-10-01  Hits:

• Affiliation of Author(s):机电工程学院
• Journal:Precision Engineering
• Key Words:Data-driven adaptive machining; Contact on-machine measurement; Machining error modeling; Toolpath correction; Machining error suppression
• Abstract: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.
• Co-author:郭彦亨,万能,Soichi Ibaraki
• First Author:chengbin,zhuangqixin
• Indexed by:Journal paper
• Volume:102 (2026) 661–700
• Translation or Not:no
• Date of Publication:2026-07-23