RT Journal Article
T1 Tool wear detection in dry high-speed milling based upon the analysis of machine internal signals
A1 Rivero, A.
A1 López de Lacalle, L. N.
A1 Penalva, Ma Luz
AB Unattended machining plants require intelligent monitoring systems, able to detect the different events that can happen during the machining process. In particular, the control of tool wear is an important objective of a monitoring system when dry machining is applied. This work evaluates the suitability of a tool wear monitoring system based on machine tool internal signals. It presents a sensorless monitoring procedure for the dry and high-speed milling of aerospace aluminium alloys. Dry high-speed experiments were performed using aluminium Al 7075-T6 workpieces. The sensor data from internal signals were compared and analyzed, assessing the deviation in representative variables in time and frequency domains. The signal analysis confirmed the relevance of cutting force signals for tool wear monitoring in the high-speed milling of aluminium alloys.
SN 0957-4158
YR 2008
FD 2008-12
LK https://hdl.handle.net/11556/3110
UL https://hdl.handle.net/11556/3110
LA eng
NO Rivero , A , López de Lacalle , L N & Penalva , M L 2008 , ' Tool wear detection in dry high-speed milling based upon the analysis of machine internal signals ' , Mechatronics , vol. 18 , no. 10 , pp. 627-633 . https://doi.org/10.1016/j.mechatronics.2008.06.008
NO The research was sponsored by the Basque Government project Advance Manufacturing Technologies and Coordinated by the marGUNE Cooperative Research Center. Authors wish to thank to Gorka Aramendi for the performed tests and Prof. Justino Fernández (Universidad de Navarra) for his useful help and discussions, and J.C. Yurre of Aotek for his valuable suggestions.
DS TECNALIA Publications
RD 1 ago 2024