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Optimization of Surface Cleaning and Painting Methods for DIC Measurements on Automotive and Railway Aluminum Materials

Autor(en): (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
(Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
ORCID (Department of Transport Infrastructure, Ukrainian State University of Science and Technologies, UA-49005 Dnipro, Ukraine)
ORCID (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
ORCID (Department of Planning and Design of Railway Infrastructure, Technical University Dresden, D-01069 Dresden, Germany)
ORCID (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Infrastructures, , n. 2, v. 8
Seite(n): 27
DOI: 10.3390/infrastructures8020027
Abstrakt:

The preparatory operations of DIC (Digital Image Correlation) tests were investigated in this study, with special emphasis on specimen cleaning and painting operations. As it is well known, DIC tests are non-contact and applied in materials research, the analysis of complex structures, and, nowadays, the construction industry. The use of DIC technologies has seen a dynamic increase in all scientific fields. In our study, aluminum body panels for automotive and railway applications were tested using this technique. There are many articles on proper patterning in the literature but fewer on preparation and priming. These are critical for a successful DIC measurement. This paper looks at different surface cleaners and primers with different grading procedures and will also determine the time window within which the paint should be applied. Finally, the GOM ARAMIS system was applied to measure and characterize the painted surface and visible deformation defects resulting from inadequate painting.

Copyright: © 2023 the Authors. Licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10722745
  • Veröffentlicht am:
    22.04.2023
  • Geändert am:
    10.05.2023
 
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