Fractal Characterization of Cavitation Erosion in Glycerol-Water Mixtures: Role of Viscosity in Aluminum Surface Failure

Fractal Characterization of Cavitation Erosion in Glycerol-Water Mixtures: Role of Viscosity in Aluminum Surface Failure | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Fractal Characterization of Cavitation Erosion in Glycerol-Water Mixtures: Role of Viscosity in Aluminum Surface Failure Osman Omran Osman, A. Abouel-Kasem, M. Heshmat, B. Saleh, S. M. Ahmed This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6057042/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study investigates how fluid viscosity modulates cavitation erosion in Al-99.92 aluminum surfaces by employing fractal analysis to quantify degradation patterns in water and glycerol-water mixtures (10–40 cSt). Fractal dimensions, calculated from power spectral density (PSD) slopes of SEM-derived surface topographies, correlate strongly with traditional erosion metrics (mean depth penetration, MDP). Both fractal dimension and MDP exhibit a viscosity-dependent decline, revealing reduced cavitation intensity in high-viscosity fluids. Critically, fractal trends remain scale-invariant across magnifications, confirming that viscosity governs surface texture complexity independently of imaging resolution. Detached particle morphology and surface features (cracks, plastic deformation) identify fatigue failure as the dominant erosion mechanism, with liquid viscosity exerting secondary influence. By bridging fractal metrics to mechanical erosion outcomes, this work establishes fractal analysis as a robust tool for predicting viscosity-dependent cavitation damage in aluminum alloys, offering insights for material selection in high-viscosity hydraulic systems. Cavitation Erosion Fractal Analysis Glycerol-Water Mixtures Al-99.92 Aluminum Fatigue Failure Surface Degradation Viscosity Effects Multifractality Scale-Invariant Analysis SEM Imaging Hydraulic Systems Material Fatigue Resistance Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6057042","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":417924000,"identity":"7d99c3bd-233a-41c3-be7b-8e74be95bac6","order_by":0,"name":"Osman Omran Osman","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Osman","middleName":"Omran","lastName":"Osman","suffix":""},{"id":417924001,"identity":"f78c5399-0fc0-4d6f-9533-39c97303122a","order_by":1,"name":"A. 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