Issue |
Mechanics & Industry
Volume 20, Number 6, 2019
|
|
---|---|---|
Article Number | 605 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/meca/2019034 | |
Published online | 05 September 2019 |
Regular Article
Modelling and characterisation of geometric errors on 5-axis machine-tool
1
LURPA, ENS Paris-Saclay, Univ. Paris-Sud, Université Paris-Saclay,
94235
Cachan,
France
2
Laboratoire Commun de Métrologie (LNE-Cnam), 1, rue Gaston Boissier,
75724
Paris Cedex 15,
France
* e-mail: fabien.viprey@ensam.eu
Received:
7
January
2019
Accepted:
16
May
2019
This research work deals with the geometric modelling of 5-axis machine tool based on a standardised parameterisation of geometric errors with the aim to decrease the volumetric error in the workspace. The identification of the model’s parameters is based on the development of a new standard thermo-invariant material namely the Multi-Feature Bar. Thanks to its calibration and a European intercomparison, it now provides a direct metrological traceability to the SI metre for dimensional measurement on machine tool in a hostile environment. The identification of three intrinsic parameters of this standard, coupled with a measurement procedure ensures a complete and traceable identification of motion errors of linear axes. An identification procedure of location and orientation errors of axes is proposed by probing a datum sphere in the workspace and minimising the time drift of the structural loop and the effects of the previously identified motion errors. Finally, the developed model partially identified, allows the characterisation of 95% of the measured volumetric error. Therefore, the mean volumetric error not characterised by the model only amounts to 8 μm.
Key words: 5-axis machine tool / modelling / identification / geometric errors / material standard
© F. Viprey et al., published by EDP Sciences 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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