Modelling and characterisation of geometric errors on 5-axis machine-tool
Article dans une revue avec comité de lecture
Author
VIPREY, Fabien
1051092 Laboratoire Universitaire de Recherche en Production Automatisée [LURPA]
127742 Laboratoire Bourguignon des Matériaux et Procédés [LABOMAP]
538485 Laboratoire commun de métrologie LNE-CNAM [LCM-CNAM]
1051092 Laboratoire Universitaire de Recherche en Production Automatisée [LURPA]
127742 Laboratoire Bourguignon des Matériaux et Procédés [LABOMAP]
538485 Laboratoire commun de métrologie LNE-CNAM [LCM-CNAM]
NOUIRA, Hichem
538485 Laboratoire commun de métrologie LNE-CNAM [LCM-CNAM]
866 Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
538485 Laboratoire commun de métrologie LNE-CNAM [LCM-CNAM]
866 Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) [FEMTO-ST]
Abstract
This research work deals with the geometric modelling of 5-axis machine tool based on a standard-ised 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 intercom-parison, 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.
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