TY - JOUR
T1 - Process Monitoring Challenges in Five-axis Milling of Thin-walled Parts
T2 - 10th Conference on High Performance Cutting, CIRP-HPC 2026
AU - Bai, Lele
AU - Villarrazo, Nagore
AU - Wang, Jun
AU - de Lacalle, Luis Norberto López
AU - Pereira, Octavio
AU - Munoa, Jokin
AU - Zhang, Jun
N1 - Publisher Copyright:
Copyright © 2026. Published by Elsevier B.V.
PY - 2026
Y1 - 2026
N2 - The five-axis milling process for thin-walled parts exhibits complex behavior, in which tool orientation, cutter-workpiece engagement, cutting forces, vibration, and tool wear are critical factors determining surface roughness and dimensional accuracy. This study presents an experimental investigation on the cutting behavior of thin-walled parts under varying tool tilt angles and part thicknesses. Experimental results confirmed that chatter occurs when the tilt angle is large; increasing the part thickness will mitigate the chatter. It’s revealed that the chatter and part deflection masked the accumulated evolution of the tool wear process in both force and vibration signals. Furthermore, cutting force signals demonstrate weaker position-dependent characteristics compared to acceleration signals. The difference between the force and vibration data’s peak-to-peak indicator is significant. The study further identifies key challenges for real-time process monitoring. Therefore, by capturing dynamic interactions such as chatter and part deflection through multi-sensor signals, this investigation provides essential insights for the development of robust process monitoring methods and systems for the five-axis milling of thin-walled components.
AB - The five-axis milling process for thin-walled parts exhibits complex behavior, in which tool orientation, cutter-workpiece engagement, cutting forces, vibration, and tool wear are critical factors determining surface roughness and dimensional accuracy. This study presents an experimental investigation on the cutting behavior of thin-walled parts under varying tool tilt angles and part thicknesses. Experimental results confirmed that chatter occurs when the tilt angle is large; increasing the part thickness will mitigate the chatter. It’s revealed that the chatter and part deflection masked the accumulated evolution of the tool wear process in both force and vibration signals. Furthermore, cutting force signals demonstrate weaker position-dependent characteristics compared to acceleration signals. The difference between the force and vibration data’s peak-to-peak indicator is significant. The study further identifies key challenges for real-time process monitoring. Therefore, by capturing dynamic interactions such as chatter and part deflection through multi-sensor signals, this investigation provides essential insights for the development of robust process monitoring methods and systems for the five-axis milling of thin-walled components.
KW - chatter
KW - five axis machining
KW - process monitoring
KW - tool wear monitoring
UR - https://www.scopus.com/pages/publications/105042631688
U2 - 10.1016/j.procir.2026.03.011
DO - 10.1016/j.procir.2026.03.011
M3 - 会议文章
AN - SCOPUS:105042631688
SN - 2212-8271
VL - 141
SP - 586
EP - 591
JO - Procedia CIRP
JF - Procedia CIRP
Y2 - 17 June 2026 through 19 June 2026
ER -