Unveiling the multifaceted incorporation of epoxy-maize cob nanoparticle composite coating of mild steel in mixed acid environment

IF 2.218 Q2 Chemistry
Victor Sunday Aigbodion
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引用次数: 0

Abstract

The surface components of mild steel used in field applications are always subject to wear and corrosion attacks. Epoxy coatings serve to improve the surface properties of mild steel; nonetheless, they do not deliver a multiplexed advantage compared to their coating with inert non-metallic particles. The parametric addition of maize cob ash nanoparticles modified with 0.5 wt% silver nanoparticles in the epoxy coating of mild steel was investigated. The coating was done using the spraying method. The transmission and scanning electron microscope, X-ray diffraction and electrochemical test in mixed acid environment were used in the characterization of the developed composites coating. A 42.86 and 96.16 % improvement in hardness values and corrosion resistance of mild steel was obtained at modified 8 wt% maize cob ash nanoparticles/epoxy coating. The corrosion potential of the coated samples tends to be higher, whereas that of the uncoated mild steel is lower. This study demonstrates that epoxy-8 wt% maize cob ash nanoparticles modified with 0.5 wt% silver nanoparticles can be used to enhance the anti-corrosion of mild steel in a mixed acid environment.

揭示了环氧-玉米芯纳米复合涂层在混酸环境下的多方位结合
在现场应用中使用的低碳钢的表面成分总是受到磨损和腐蚀。环氧涂料用于改善低碳钢的表面性能;然而,与惰性非金属颗粒涂层相比,它们并没有提供多路复用的优势。研究了0.5 wt%银纳米粒子改性玉米芯灰纳米粒子在低碳钢环氧涂层中的参数添加。采用喷涂法进行涂层处理。采用透射电镜、扫描电镜、x射线衍射和混合酸环境下的电化学测试对制备的复合涂层进行了表征。改性后的玉米芯灰/环氧涂层的硬度和耐蚀性分别提高了42.86%和96.16%。涂层试样的腐蚀电位较高,而未涂层试样的腐蚀电位较低。本研究表明,用0.5 wt%银纳米粒子修饰环氧-8 wt%玉米芯灰纳米粒子可以增强低碳钢在混合酸环境中的抗腐蚀能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chemical Data Collections
Chemical Data Collections Chemistry-Chemistry (all)
CiteScore
6.10
自引率
0.00%
发文量
169
审稿时长
24 days
期刊介绍: Chemical Data Collections (CDC) provides a publication outlet for the increasing need to make research material and data easy to share and re-use. Publication of research data with CDC will allow scientists to: -Make their data easy to find and access -Benefit from the fast publication process -Contribute to proper data citation and attribution -Publish their intermediate and null/negative results -Receive recognition for the work that does not fit traditional article format. The research data will be published as ''data articles'' that support fast and easy submission and quick peer-review processes. Data articles introduced by CDC are short self-contained publications about research materials and data. They must provide the scientific context of the described work and contain the following elements: a title, list of authors (plus affiliations), abstract, keywords, graphical abstract, metadata table, main text and at least three references. The journal welcomes submissions focusing on (but not limited to) the following categories of research output: spectral data, syntheses, crystallographic data, computational simulations, molecular dynamics and models, physicochemical data, etc.
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