EIS Studies of Protective Polymer Coatings on Low-Carbon Steel in Sulfuric Acid

2021 ◽  
Vol 57 (7) ◽  
pp. 1368-1374
Author(s):  
V. A. Golovin ◽  
S. A. Dobriyan
Keyword(s):  
Sulfuric Acid ◽  
Carbon Steel ◽  
Low Carbon Steel ◽  
Polymer Coatings ◽  
Low Carbon ◽  
Protective Polymer

Effect of sulfuric acid solutions on the cyclic and static properties of low-carbon steel

1993 ◽  
Vol 28 (2) ◽  
pp. 203-204
Author(s):  
Kh. M. Khanukhov ◽  
A. E. Voronetskii ◽  
M. Yu. Nasonov
Keyword(s):  
Sulfuric Acid ◽  
Carbon Steel ◽  
Low Carbon Steel ◽  
Acid Solutions ◽  
Low Carbon ◽  
Static Properties ◽  
Sulfuric Acid Solutions

The Effect of Flue Gas Environment on the Corrosion Behavior of the Sulfuric Acid Dew-Point Corrosion Resistant Steel

2018 ◽  
Vol 941 ◽  
pp. 1705-1709
Author(s):  
Byoung Ho Lee ◽  
Min Ho Jo ◽  
Yun Ha Yoo
Keyword(s):  
Corrosion Resistance ◽  
Sulfuric Acid ◽  
Carbon Steel ◽  
Low Carbon Steel ◽  
Immersion Test ◽  
Dew Point ◽  
Corrosion Resistant Steel ◽  
Resistant Steel ◽  
Low Carbon ◽  
Corrosion Resistant

In order to compare the corrosion resistance of conventional low carbon steel, Cu containing low carbon steel for sulfuric acid dew-point corrosion inhibition, and stainless 409L, immersion tests were carried out in 50 wt.% sulfuric acid. The effects of HCl concentraion on the corrosion behavior in a fixed sulfuric acid concentration (16.9 vol.%) was also investigated by immersion test. In addition to immersion test, field test in a thermal plant was carried out for 10 months. As a result, it was confirmed that Cu-containing dew-point corrosion resistent steel has the highest corrosion resistance compared with other materials. To verify superior corrosion resistence of dew-point corrosion resistant steel, surface morpology after various test was observed by SEM. It was found that surface corroded product of the dew-point corrosion resistant steel was much denser and thicker compared with the other steel.

scholarly journals Electrochemical evidence of the influence of light on the corrosion processes of low-carbon steel in diluted sulfuric acid

1993 ◽  
Vol 15 (15) ◽  
pp. 35
Author(s):  
Reinaldo Simões Gonçalves ◽  
Roni Fábio Dalla Costa
Keyword(s):  
Sulfuric Acid ◽  
Carbon Steel ◽  
Corrosion Rate ◽  
Low Carbon Steel ◽  
Potential Range ◽  
Low Carbon ◽  
Anodic Current ◽  
Anodic Potential ◽  
Density Values ◽  
Steel Electrodes

Two different electrochemical methods confirm the influence of ligth on the anodic current values observad when low carbon steel electrodes were polarizad in deaerated 1.0 N H2SO4 solutions in the anodic potential range. The highest density values were obtained when the system is under illumination. The effect of natural illumination conditions on the weigh-loss experiments in aerated 1.0 N H2SO4, confirms that the corrosion rate is higher in an illuminated medium than in the dark.

scholarly journals Influence of Heat Treatment on Corrosion of Low Carbon Steel in Sulfuric Acid Solutions

2019 ◽  
Vol 4 (4) ◽  
pp. 64-69
Author(s):  
Jafar Ghani Majeed ◽  
Yasir K. Ibrahim ◽  
Ghada A. Abd Al-Aziz
Keyword(s):  
Heat Treatment ◽  
Sulfuric Acid ◽  
Carbon Steel ◽  
Corrosion Rate ◽  
Room Temperature ◽  
Linear Models ◽  
Low Carbon Steel ◽  
Acid Solutions ◽  
Low Carbon ◽  
Sulfuric Acid Solutions

Different heat treatments such as (Annealing, Normalizing, Hardening in oil, and Hardening in water) of low carbon steel (LCS) specimens were performed in electrical furnace at constant temperature of (850ºC). The aim of this work was to estimate the effect of each heat treatment of LCS specimens on their corrosion rate (CR) in sulfuric acid solutions at constant room temperature of (25±5ºC). The CR was measured, while the acid concentration (Cacid) and immersion time (T) were changed according to experimental plan. Computer program (Statgraphics/Experimental Design) was used to calculate the fitted linear model of corrosion rate of low carbon steel in terms of (Cacid, and T) for each heat treatment separately. The fitted linear models of CR were adequate, while the interactions of the operating parameters were negligible. The R- square statistic indicates that the models as fitted explain 81-93% of the variability in corrosion rate.

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