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Root-cause analysis of wear-induced error motion changes of machine tool linear axes

Published

Author(s)

Gregory W. Vogl, Jordan Jameson, Andreas Archenti, Karoly Szipka, M A. Donmez

Abstract

Manufacturers need online methods that give updated information of system capabilities to know and predict the performance of their machine tools. Use of an inertial measurement unit (IMU) is attractive for on-machine condition monitoring, so methods based on spatial filters were developed to determine rail wear conditions of linear guideways of a carriage from its IMU-based error motion. It was shown that rail wear-induced changes in translational and angular error motions as small as 1.5 µm and 3.0 µrad, respectively, could be resolved. A corresponding two-part root-cause analysis procedure was developed to determine the rail locations of spalling degradation as well as the most probable physical location of spalling that causes the detected error motion changes. Another analysis method determined the root cause of non-localized degradation along each rail. These approaches support the development of smart machine tools that provide actionable intelligence to manufacturers for early warnings of system change.
Citation
International Journal of Machine Tools & Manufacture
Volume
143

Keywords

Machine tool, Error, Diagnostics

Citation

Vogl, G. , Jameson, J. , Archenti, A. , Szipka, K. and Donmez, M. (2019), Root-cause analysis of wear-induced error motion changes of machine tool linear axes, International Journal of Machine Tools & Manufacture, [online], https://doi.org/10.1016/j.ijmachtools.2019.05.004 (Accessed July 1, 2022)
Created May 23, 2019, Updated July 22, 2019