Vogl, G.
, Rexford, A.
, Li, Z.
, Landers, R.
, Kinzel, E.
, Donmez, A.
and Chalfoun, J.
(2023),
Vision-based thermal drift monitoring method for machine tools, CIRP Annals-Manufacturing Technology, [online], https://doi.org/10.1016/j.cirp.2023.04.053, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936220
(Accessed October 10, 2025)
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Vision-based thermal drift monitoring method for machine tools
Published
Author(s)
, Ainsley Rexford, Zongze Li, Robert Landers, Edward Kinzel, ,
Abstract
A method is presented to measure machine tool thermal drift for error compensation. A wireless microscope within a tool holder in the spindle is used to capture videos of image targets attached to the worktable. For each target, one video is captured during spindle rotation orthogonal to the worktable and another video is captured during axis translation orthogonal to the worktable. Data are collected periodically so that the three-dimensional thermal error at each target location is determined via image analysis. Experiments verify that the method measures micrometer-level tool-to-workpiece thermal drift for error model development and thermal drift compensation.Citation
CIRP Annals-Manufacturing Technology
Volume
72
Pub Type
Journals
Download Paper
Keywords
Thermal error, Machine tool, Monitoring
Citation
Issues
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Created April 15, 2023, Updated October 5, 2023