Adapted Fringe Projection Sequences for Changing Illumination Conditions on the Example of Measuring a Wrought-Hot Object Influenced by Forced Cooling.

fringe projection profilometry harsh conditions hot measurement object

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
25 Feb 2021
Historique:
received: 22 12 2020
revised: 15 02 2021
accepted: 22 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

Optical 3D geometry reconstruction, or more specific, fringe projection profilometry, is a state-of-the-art technique for the measurement of the shape of objects in confined spaces or under rough environmental conditions, e.g., while inspecting a wrought-hot specimen after a forging operation. While the contact-less method enables the measurement of such an object, the results are influenced by the light deflection effect occurring due to the inhomogeneous refractive index field induced by the hot air around the measurand. However, the developed active compensation methods to fight this issue exhibits a major drawback, namely an additional cooling of the object and a subsequent transient illumination component. In this paper, we investigate the cooling and its effect on temporal phase reconstruction algorithms and take a theoretical approach to its compensation. The simulated compensation measures are transferred to a fringe projection profilometry setup and are evaluated using established and newly developed methods. The results show a significant improvement when measuring specimens under a transient illumination and are easily transferable to any kind of multi-frequency phase-shift measurement.

Identifiants

pubmed: 33668803
pii: s21051599
doi: 10.3390/s21051599
pmc: PMC7956746
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : 252662854

Références

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pubmed: 32902422
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pubmed: 29047550
Sensors (Basel). 2018 Dec 10;18(12):
pubmed: 30544732

Auteurs

Lorenz Quentin (L)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Rüdiger Beermann (R)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Carl Reinke (C)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Pascal Kern (P)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Markus Kästner (M)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Eduard Reithmeier (E)

Institute of Measurement and Automatic Control, Leibniz Universität Hannover, Nienburger Str. 17, D-30167 Hannover, Germany.

Classifications MeSH