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Fractal Characterization of Brass Corrosion in Cavitation Field in Seawater

Author

Listed:
  • Alina Bărbulescu

    (Department of Civil Engineering, Transilvania University of Brașov, 5, Turnului Street, 900152 Brașov, Romania)

  • Cristian Ștefan Dumitriu

    (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.

Suggested Citation

  • Alina Bărbulescu & Cristian Ștefan Dumitriu, 2023. "Fractal Characterization of Brass Corrosion in Cavitation Field in Seawater," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3816-:d:1074428
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    References listed on IDEAS

    as
    1. López, J.L. & Veleva, L., 2022. "2D-DFA as a tool for non-destructive characterisation of copper surface exposed to substitute ocean water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    2. S. Davies & P. Hall, 1999. "Fractal analysis of surface roughness by using spatial data," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 3-37.
    3. Yidong Xu & Chunxiang Qian & Lei Pan & Bingbing Wang & Chi Lou, 2012. "Comparing Monofractal and Multifractal Analysis of Corrosion Damage Evolution in Reinforcing Bars," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-8, January.
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    Cited by:

    1. Yang Yang & Baibai Fu, 2023. "Spatial Heterogeneity of Urban Road Network Fractal Characteristics and Influencing Factors," Sustainability, MDPI, vol. 15(16), pages 1-16, August.

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