Fractal Characterization of Brass Corrosion in Cavitation Field in Seawater

Author:

Bărbulescu Alina1ORCID,Dumitriu Cristian Ștefan2

Affiliation:

1. Department of Civil Engineering, Transilvania University of Brașov, 5, Turnului Street, 900152 Brașov, Romania

2. Faculty of Mechanical Engineering and Robotics in Constructions, Technical University of Civil Engineering of Bucharest, 122, Lacul Tei Av., 020396 Bucharest, Romania

Abstract

Cavitation is a physical process that produces complex effects on the machines and components working in conditions where it acts. One effect is the materials-mass loss by corrosion–erosion when components are introduced into fluids under cavitation. The analysis of the damages produced by cavitation is generally performed by using different destructive and non-destructive experimental techniques. Most studies on materials’ behavior in cavitation refer to the erosion–corrosion mechanism, and very few investigate the fissure propagation by fractal methods. None have investigated the fractal characteristics of the sample surface after erosion–corrosion or the multifractal characteristics of materials’ mass variation in time in a cavitation field. Therefore, this research proposes a computational approach to determine the pattern of materials’ damages produced by ultrasound cavitation. The studied material is a brass, introduced in seawater. Fractal and multifractal techniques are applied to the series of the absolute mass loss per surface and the sample’s micrography after corrosion. Such an approach has not been utilized for such a material in similar experimental conditions. This study emphasizes that the box dimension of the series of the absolute mass loss per surface is close to one, and its behaviour is close to a non-/monofractal. It is demonstrated that the material’s surface corrosion is not uniform, and its multifractal character is highlighted by the f(α)− spectrum and the multifractal dimensions, which have the following values: the capacity dimension = 1.5969, the information dimension = 1.49836, and the correlation dimension = 1.4670.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference68 articles.

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3. Young, F.E. (1989). Cavitation, Mac Graw-Hill.

4. Rooney, J.A. (1988). Ultrasound: Its Chemical, Physical and Biological Effects, Suslick, VCH.

5. Bărbulescu, A., and Dumitriu, C.Ș. (2022). Modeling the Voltage Produced by Ultrasound in Seawater by Stochastic and Artificial Intelligence Methods. Sensors, 22.

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