Towards Improved Quantitative Characterization of Corroding Surfaces Using Fractal Models

Autor:	P. R. Roberge, K. R. Trethewey
Rok vydání:	1994
Předmět:	Hurst exponent Electrochemical noise Materials science Fractal chemistry Aluminium Detector chemistry.chemical_element Biological system Fractal dimension Corrosion Characterization (materials science)
Zdroj:	Modelling Aqueous Corrosion ISBN: 9789401045131
DOI:	10.1007/978-94-011-1176-8_21
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::201f693f12df3843ea75453a8c638343 https://doi.org/10.1007/978-94-011-1176-8_21 Zobrazit plný text záznamu