Multi-sensor approach for multi-scale machining defect detection

Lorène Dubreuil (1) , Yann Quinsat (1) , Claire Lartigue (1)

1 LURPA - Laboratoire Universitaire de Recherche en Production Automatisée

Several measuring systems used in industries are most often used in a separated way and not efficiently. Multi-scale multi-sensor measurements are nowadays challenging to improve quality and decrease measuring time. However, this requires that each class of defects can be link with the appropriate measuring system. This paper deals with a comparative study of several measuring techniques for the measurement of multi-scale machining defects. In particular, an attention is paid to a new measuring method based on stereo-correlation along with classical measuring technique such as laser scanner, touch probe and confocal interferometry. Considering some well-known defects, the comparative study assesses the ability of each system to measure a class of defects. This study constitutes the first stage towards the definition of a multi-sensor multi-scale measuring system.

Domaines: Génie mécanique [physics.class-ph]; Génie mécanique [physics.class-ph]

Lorène Dubreuil, Yann Quinsat, Claire Lartigue. Multi-sensor approach for multi-scale machining defect detection. Joint Conference On Mechanical, Jun 2014, Toulouse, France. pp.1. ⟨hal-01058272⟩