TY - JOUR
T1 - Research progress on deformation control in milling process of large metal thin-walled components
AU - Gao, Quan
AU - Li, Rui
AU - Gao, Hanjun
AU - Song, Hechuan
AU - Yang, Shangru
AU - Hou, Xuesi
AU - Yang, Kai
AU - Zhang, Bin
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2026.
PY - 2026/5
Y1 - 2026/5
N2 - To provide researchers with a deeper understanding of and solutions to the prominent deformation control challenges in milling of large metal thin-walled components (LMTWC), this paper focuses on the milling of these components and systematically reviews recent research progress. First, it provides a detailed analysis of the key factors and intrinsic mechanisms that induce deformation in LMTWC during milling, including chatter, clamping force, cutting force/heat coupling, and residual stress, along with corresponding suppression strategies. The application and challenges of finite element analysis, machine learning, and on-machine measurement technologies for prediction and detection in LMTWC machining are then discussed. Building on this, the paper focuses on the need for efficient and precise machining, reviewing the principles, applications, and challenges of advanced deformation control strategies, including flexible clamping, adaptive machining, mirror milling, and ultrasonic assisted milling. This paper aims to provide systematic theoretical support and technical reference for deepening the understanding of deformation mechanisms in milling of LMTWC, developing high-precision deformation prediction and compensation technologies, and advancing the engineering application of advanced control strategies.
AB - To provide researchers with a deeper understanding of and solutions to the prominent deformation control challenges in milling of large metal thin-walled components (LMTWC), this paper focuses on the milling of these components and systematically reviews recent research progress. First, it provides a detailed analysis of the key factors and intrinsic mechanisms that induce deformation in LMTWC during milling, including chatter, clamping force, cutting force/heat coupling, and residual stress, along with corresponding suppression strategies. The application and challenges of finite element analysis, machine learning, and on-machine measurement technologies for prediction and detection in LMTWC machining are then discussed. Building on this, the paper focuses on the need for efficient and precise machining, reviewing the principles, applications, and challenges of advanced deformation control strategies, including flexible clamping, adaptive machining, mirror milling, and ultrasonic assisted milling. This paper aims to provide systematic theoretical support and technical reference for deepening the understanding of deformation mechanisms in milling of LMTWC, developing high-precision deformation prediction and compensation technologies, and advancing the engineering application of advanced control strategies.
KW - Deformation control
KW - Deformation mechanism
KW - Large metal thin-walled components
KW - Machining deformation
KW - Milling
UR - https://www.scopus.com/pages/publications/105036006395
U2 - 10.1007/s00170-026-18059-9
DO - 10.1007/s00170-026-18059-9
M3 - 文献综述
AN - SCOPUS:105036006395
SN - 0268-3768
VL - 144
SP - 3077
EP - 3114
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 5-6
ER -