{"title":"Unveiling the multifaceted incorporation of epoxy-maize cob nanoparticle composite coating of mild steel in mixed acid environment","authors":"Victor Sunday Aigbodion","doi":"10.1016/j.cdc.2023.101097","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":269,"journal":{"name":"Chemical Data Collections","volume":"48 ","pages":"Article 101097"},"PeriodicalIF":2.2180,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical Data Collections","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405830023001088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
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.
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.