Abstract
Techniques recently shown to be effective in the analysis of electrochemical noise have been used to investigate the quantitative information to be gained from topographical profiles of corroding surfaces. Representation of both uncorroded and corroded surfaces by fractals has been examined and a comparison of traditional coastline plots with other methods of analysis carried out. A new method known as the Stochastic Pattern Detector is shown to be a particularly sensitive tool for highlighting high resolution changes to surface profile during corrosion of aluminium 2024. Correlation of conventional mechanical surface profile measurements and rescaled range analysis has been achieved.
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Trethewey, K.R., Roberge, P.R. (1994). Towards Improved Quantitative Characterization of Corroding Surfaces Using Fractal Models. In: Trethewey, K.R., Roberge, P.R. (eds) Modelling Aqueous Corrosion. NATO ASI Series, vol 266. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1176-8_21
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DOI: https://doi.org/10.1007/978-94-011-1176-8_21
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