Protection of Metals and Physical Chemistry of Surfaces, Volume (54), No (5), Year (2018-5) , Pages (884-892)

Title : ( Corrosion Inhibition of Carbon Steel in Aqueous HCl Solutions by Acid Pre-Magnetization Technique: Experimental Study and Modelling )

Authors: هاشمی زاده , عامری , Babak Aminshahidy , Mostafa Gholizadeh ,

Citation: BibTeX | EndNote

Abstract

The effect of magnetization of acid before usage (pre-magnetization technique) on the corrosion inhibition of carbon steel (CS) in 7.5, 10 and 12.5 wt.% (2.2, 3.0 and 3.8 M) HCl solutions were investigated by means of gravimetric weight loss method. Response Surface Methodology (Box-Behnken design) has been used to study and modelling the effects of magnetic field (MF) intensity, acid concentration, and elapsed time on inhibition efficiency. The experiments reveal that pre-magnetization is a suitable inhibitor in HCl solutions. The maximum percentage inhibition efficiency was found to be 93% for 12.5 wt.% HCl. The results showed that the inhibition efficiency rises with increasing MF intensity. The surface structure of the CS was examined by SEM (scanning electron microscopy) both in the normal and magnetized HCl solutions.

Keywords

, Corrosion Inhibition, HCl, Carbon Steel, Magnetic Field.
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@article{paperid:1066192,
author = {هاشمی زاده and عامری and Aminshahidy, Babak and Gholizadeh, Mostafa},
title = {Corrosion Inhibition of Carbon Steel in Aqueous HCl Solutions by Acid Pre-Magnetization Technique: Experimental Study and Modelling},
journal = {Protection of Metals and Physical Chemistry of Surfaces},
year = {2018},
volume = {54},
number = {5},
month = {May},
issn = {2070-2051},
pages = {884--892},
numpages = {8},
keywords = {Corrosion Inhibition; HCl; Carbon Steel; Magnetic Field.},
}

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%0 Journal Article
%T Corrosion Inhibition of Carbon Steel in Aqueous HCl Solutions by Acid Pre-Magnetization Technique: Experimental Study and Modelling
%A هاشمی زاده
%A عامری
%A Aminshahidy, Babak
%A Gholizadeh, Mostafa
%J Protection of Metals and Physical Chemistry of Surfaces
%@ 2070-2051
%D 2018

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