6533b831fe1ef96bd129983c

RESEARCH PRODUCT

Taking digitized points quality into account in geometrical specification measurement by laser sensor

David JoannicJean-pierre GonnetJean François Fontaine

subject

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]EngineeringAccuracy and precisionbusiness.industrymedia_common.quotation_subject[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Real-time computingCloud computingLaserlaw.inventionMetrologylaw[ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph]Measurement uncertaintyComputer visionQuality (business)Statistical dispersionArtificial intelligencebusiness[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Throughput (business)media_common

description

International audience; Today, the new measurement techniques without contact like the laser sensors are used more and more in industrial applications. They allow to obtain many points in a short time. However these techniques have a less good accuracy than the classical process with contact probe for metrology application. The work presented in this paper, is part of a research project on the in-process product inspection. In the case of in-process product inspection, the throughput time must be the shortest with a good dimensional accuracy. So, it is necessary to increase the measurement accuracy of the points cloud for using the laser scanners. For this first approach, we suggest to build a measurement procedure based on the digitised points quality: the points having the required quality alone are kept for the numerical calculation. To do that, a quality cartography giving the measurement accuracy is developed. This one is based on the sensor dispersion modelling .We show, by a concrete example, how it is possible to increase the accuracy of the inspection results in introducing the local measurement uncertainty.

https://hal.archives-ouvertes.fr/hal-00803927