Identification of machine tool squareness errors via inertial measurements
Karoly Szipka, Andreas Archenti, Gregory W. Vogl, Alkan Donmez
The accuracy of multi-axis machine tools is affected to a large extent by the behaviour of the system's axes and their error sources. In this paper, a novel methodology using circular inertial measurements quantifies changes in squareness between two axes of linear motion. Conclusions are reached through direct utilization of measured accelerations, without the need for double integration of sensor signals. Results revealed that the new methodology is able to identify squareness values verified with traditional measurement methods. The work supports the integration of sensors into machine tools in order to reach higher levels of measurement automation.
, Archenti, A.
, Vogl, G.
and Donmez, A.
Identification of machine tool squareness errors via inertial measurements, CIRP Annals-ManufacturingTechnology, [online], https://doi.org/10.1016/j.cirp.2019.04.070, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=927684
(Accessed December 10, 2023)