Evaluation of measurement uncertainties of digital volume correlation applied to laminography data

Autor: Lukas Helfen, Thilo F. Morgeneyer, Thibault Taillandier-Thomas, François Hild, Ante Buljac
Přispěvatelé: Centre des Matériaux (MAT), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mécanique et Technologie (LMT), École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS), European Synchrotron Radiation Facility (ESRF)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Strain Analysis for Engineering Design
Journal of Strain Analysis for Engineering Design, SAGE Publications, 2018, 53, pp.49-65. ⟨10.1177/0309324717748097⟩
ISSN: 0309-3247
DOI: 10.1177/0309324717748097⟩
Popis: International audience; The effect of different data acquisition parameters on the displacement and strain uncertainties of kinematic fields is assessed via digital volume correlation applied to three-dimensional data sets imaged by synchrotron laminography. The measurement uncertainty is estimated for (1) different materials and associated varying contrast; (2) repeated scans, that is, uncertainty due to the imaging system and three-dimensional reconstruction; (3) rigid body motions between two subsequent scans; (4) rescaling of the gray level histogram during 32-bit floating point to 8-bit integer data conversion; (5) changes in the beam properties, that is, use of a monochromator or an undulator; and (6) changes in camera/detector characteristics. It is found that the amount of image contrast is not the only parameter that controls uncertainties for different materials. Furthermore, the rigid body motion procedure should be preferred over repeated scans as it provides more conservative measurement uncertainty values. The applied 32- to 8-bit conversion procedure, beam tuning and detector characteristics hardly affect the measurement uncertainty.
Databáze: OpenAIRE