Ragini L. Minagalavar , S.K. Rajappa , Manohar R. Rathod , Ashok M. Sajjan
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引用次数: 0
Abstract
The current study focuses on investigating the corrosion-inhibitory characteristics of the Schiff base (E)-N-benzylidene-4-nitrobenzenamine. The efficacy of the compound in preventing mild steel (MS) corrosion in a 1 M HCl solution was assessed using mass loss, potentiodynamic polarization, and electrochemical impedance spectroscopy techniques (EIS). In addition, measurements of polarization resistance suggested that the substance functions as a mixed-type inhibitor, primarily functioning as a cathodic inhibitor. EIS revealed that the compound impedes corrosion by increasing the charge transfer resistance at the interfaces between the metal and solution. The (E)-N-benzylidene-4-nitrobenzenamine compound conformed to the Langmuir adsorption isotherm. Additional confirmation of the development of a protective layer on MS surfaces was established through examinations using SEM (Scanning Electron Microscopy), and AFM (Atomic Force Microscopy). DFT (Density Functional Theory) studies and MD simulations were utilized to augment comprehension of corrosion inhibition mechanisms and adsorption characteristics.
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.