Optimization of Surface Preparation and Painting Processes for Railway and Automotive Steel Sheets

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Abstract

The article deals with DIC (Digital Image Correlation) tests on steel plates used in the automotive and railway industries, as well as in the construction industry. The most critical part of DIC tests is the quality of proper surface preparation, painting, and random patterns. The paint mediates the deformation of the optical systems, and its quality is paramount. The authors’ goal in this research is to determine the optimal dye–cleaning–drying time parameters for DIC studies. Commercially available surface preparation and cleaning agents were tested alongside commercially available spray paints. Standard and specific qualification procedures were applied for the measurements. Once the appropriate parameters were determined, the results were validated and qualified by GOM ARAMIS tests. Based on the results, DIC measurements can be performed with higher accuracy and safety in laboratorial and industrial conditions, compared to the traditional deformation measurements executed by dial gauges or linear variable differential transformers.

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APA

Szalai, S., Szívós, B. F., Kurhan, D., Németh, A., Sysyn, M., & Fischer, S. (2023). Optimization of Surface Preparation and Painting Processes for Railway and Automotive Steel Sheets. Infrastructures, 8(2). https://doi.org/10.3390/infrastructures8020028

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