Reduction of a RRTTT machine tool geometric model by combinatorial analysis to improve volumetric accuracy

F Viprey (1, 2) , S Lavernhe (1) , H Nouira (2) , Christophe Tournier (1)

1 LURPA - Laboratoire Universitaire de Recherche en Production Automatisée
2 LNE - Laboratoire National de Métrologie et d'Essais [Trappes]

To significantly improve manufacturing processes, the intrinsic geometric deviations of machine tool must be optimized. Despite the international standard ISO 230-1, many geometric errors model are developed in the literature. In this paper, the modeling of a RRTTT five-axis machine tool including geometric error related to the international standard is carried out. The reduction and determination of model parameters is based on a combinatorial analysis coupled with rank analysis. The goal is to find all groups of position and orientation axes errors to model the volumetric accuracy actually measured. This task is performed by probing a datum sphere with a touch probe integrated in the machine tool. Finally, a combination of optimal parameters is determined in order to better map volumetric accuracy.

Mots clés: Machine tool calibration; volumetric accuracy; geometric errors model; combinatorial analysis; indirect measurement

Domaines: Génie mécanique [physics.class-ph]

F Viprey, S Lavernhe, H Nouira, Christophe Tournier. Reduction of a RRTTT machine tool geometric model by combinatorial analysis to improve volumetric accuracy. Laser Metrology and Machine Performance (LAMDAMAP) 2015, Mar 2015, Huddersfield, United Kingdom. ⟨hal-01122531⟩