Please use this identifier to cite or link to this item: doi:10.22028/D291-38614
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Title: Application of Ultraviolet (UV) Radiation and Fluorescence for DIC Measurements - Quality Improvement
Author(s): König, Kristian
Reis, Martin
Vielhaber, Michael
Jung, Anne
Language: English
Title: Optics and lasers in engineering
Volume: 158
Publisher/Platform: Elsevier
Year of Publication: 2022
Free key words: Digital image correlation
Ultraviolet
Fluorescence
Phosphorescence
Lighting system
Metal foam
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
Abstract: Digital image correlation (DIC) is a widely used method in materials science and experimental mechanics for full-field surface displacement or strain measurements. It is an optical method, which calculates displacement or strain fields from images taken during deformation of the test specimen and is able to achieve a sub-pixel accuracy in case of proper operation. However, the theoretical accuracy is strongly reduced by effects such as surface reflections or shadows resulting from a not ideal illumination or lighting system. This is especially the case for complex 3D structured specimen geometries such as for metal foams or other cellular materials. The present study investigates the usage of ultraviolet (UV) light illumination in combination with phosphorescent or fluorescent pigments used to apply the needed speckle pattern for high accuracy DIC. A method to optimise the lighting system in combination with the used background pigments is presented. Fluorescent pigments provide much better results than phosphorescent pigments. The application of UV lighting in combination with fluorescent background pigments strongly improves DIC accuracy not only for normal tensile specimens but also for complex 3D shaped metal foams by avoiding surface reflections and shadows.
DOI of the first publication: 10.1016/j.optlaseng.2022.107140
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S0143816622001920
Link to this record: urn:nbn:de:bsz:291--ds-386146
hdl:20.500.11880/34954
http://dx.doi.org/10.22028/D291-38614
ISSN: 0143-8166
Date of registration: 20-Jan-2023
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Materialwissenschaft und Werkstofftechnik
NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Diebels
NT - Prof. Dr. Michael Vielhaber
NT - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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