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contributor authorDing, Cong
contributor authorQiao, Zhizhao
contributor authorPiao, Zhongyu
date accessioned2025-04-21T10:32:43Z
date available2025-04-21T10:32:43Z
date copyright12/17/2024 12:00:00 AM
date issued2024
identifier issn1087-1357
identifier othermanu_147_3_031007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306415
description abstractTo enhance the corrosion resistance of aluminum alloy exposed to marine environment, a novel Peano fractal micro-nano texture was introduced. The Peano micro-nano textures with three depths were prepared by laser etching technology, and the textured surfaces were modified using an ethanol solution of 1H, 1H, 2H, 2H-perfluorodecyltriethoxysilane (PFDS). The hydrophobic properties of aluminum alloy surfaces with Peano textures were measured. The wetting mechanism was analyzed via X-ray photoelectron spectroscopy (XPS) characterization, and the electrochemical experiments were performed to explore the corrosion resistance of a superhydrophobic surface. The results showed that LS-d30 (laser processed specimen with depth of 30 μm) exhibited the optimal superhydrophobicity, with a water contact angle of 169.3 deg and a sliding angle of 3.9 deg. The Peano micro-nano texture facilitated the adsorption of PFDS, resulting in the creation of CF2–CF2 and CF3–CF3 functional groups on the surface. These functional groups contributed to the enhancement of hydrophobic properties. The LS-d30 surface exhibited a superior corrosion inhibition rate of 84.16%. Additionally, electrochemical impedance spectroscopy (EIS) revealed a significant increase in the corrosion resistance of the Peano fractal micro-nano texture surface.
publisherThe American Society of Mechanical Engineers (ASME)
titleSuperhydrophobic Property and Corrosion Resistance of 1100 Aluminum Alloy With Peano Fractal Micro-Nano Textures
typeJournal Paper
journal volume147
journal issue3
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4067327
journal fristpage31007-1
journal lastpage31007-11
page11
treeJournal of Manufacturing Science and Engineering:;2024:;volume( 147 ):;issue: 003
contenttypeFulltext


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