Optimization of Surface Cleaning and Painting Methods for DIC Measurements on Automotive and Railway Aluminum Materials
Author(s): |
Szabolcs Szalai
(Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary)
Viktória Fehér (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) Dmytro Kurhan (Department of Transport Infrastructure, Ukrainian State University of Science and Technologies, UA-49005 Dnipro, Ukraine) Attila Németh (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) Mykola Sysyn (Department of Planning and Design of Railway Infrastructure, Technical University Dresden, D-01069 Dresden, Germany) Szabolcs Fischer (Central Campus Győr, Széchenyi István University, H-9026 Győr, Hungary) |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Infrastructures, February 2023, n. 2, v. 8 |
Page(s): | 27 |
DOI: | 10.3390/infrastructures8020027 |
Abstract: |
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. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
6.76 MB
- About this
data sheet - Reference-ID
10722745 - Published on:
22/04/2023 - Last updated on:
10/05/2023