Vogl, G.
, Donmez, M.
and Archenti, A.
(2016),
Diagnostics for geometric performance of machine tool linear axes, CIRP Annals-ManufacturingTechnology, [online], https://doi.org/10.1016/j.cirp.2016.04.117
(Accessed October 31, 2024)
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Diagnostics for geometric performance of machine tool linear axes
Published
Author(s)
, , Andreas Archenti
Abstract
Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is mainly a manual and time-consuming process. Thus, manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of translational and angular error changes due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of resolving linear axis errors with acceptable test uncertainty ratios.Citation
CIRP Annals-ManufacturingTechnology
Volume
65
Pub Type
Journals
Download Paper
Keywords
Machine tool, Error, Diagnostics
Citation
Issues
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Created April 29, 2016, Updated November 10, 2018