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Quantifying abrasive-blasted surface roughness profiles using scanning electron microscopy

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Abstract

Rough surface profiles are specified for metal surfaces so that corrosion preventative coatings adhere well and provide long-term protection. Simple stylus scans and replica tape are widely used in industry to characterize surfaces and control the quality of surface preparation. Unfortunately, a scientific, quantitative connection between adhesion and surface profile parameters remains unclear. Stereo-pair images from scanning electron microscopy, SEM, were used to digitally reconstruct and then characterize 3D surfaces, which is a technique that seems previously unreported in coatings applications. SEM results were consistent with those from a stylus profilometer, but the data from a surface scan are much more numerous than from a line scan, and SEM can provide very high magnifications. 3D surfaces at high magnification gave larger values for the increase in area developed by the abrasive blasting than were determined at lower magnifications and by the stylus profilometer. Nevertheless, both techniques showed that the surface roughness height and ramification was far less than might be expected from illustrations in the existing literature on coatings’ adhesion. Quantified characterization, with details shown at high magnification, may provide scientific insight into how the various features of a roughened surface enhance the adhesion of protective coatings.

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Acknowledgments

One of the authors (SGC) would like to thank his colleagues and contacts in industry, especially at Northwest Pipe and the Bureau of Reclamation, for many discussions and helping with materials and samples. This material is based on the work supported by the National Science Foundation under Grant No. 0619098.

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Correspondence to Stuart G. Croll.

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Croll, S.G., Payne, S.A. Quantifying abrasive-blasted surface roughness profiles using scanning electron microscopy. J Coat Technol Res 17, 1231–1242 (2020). https://doi.org/10.1007/s11998-020-00342-3

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