Experimental and Modeling of CO2 Corrosion in Acidic Solutions at pH 5.5

Experimental and Modeling of CO2 Corrosion in Acidic Solutions at pH 5.5

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© 2025 by IJETT Journal
Volume-73 Issue-7
Year of Publication : 2025
Author : Yuli Panca Asmara, Suparjo, Firda Herlina, Kushendarsyah Saptaji, Lekan Taofeek Popoola
DOI : 10.14445/22315381/IJETT-V73I7P104

How to Cite?
Yuli Panca Asmara, Suparjo, Firda Herlina, Kushendarsyah Saptaji, Lekan Taofeek Popoola, "Experimental and Modeling of CO2 Corrosion in Acidic Solutions at pH 5.5," International Journal of Engineering Trends and Technology, vol. 73, no. 7, pp.26-33, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I7P104

Abstract
Empirical methods provide reliable corrosion rate predictions in multi-variable experiments and enable efficient execution of numerous tests, thereby promoting sustainability through cost reduction, minimizing environmental impact, and lowering industrial emissions. However, many of these empirical models lack statistical verifications due to data limitations, which affects the precision of the results. To address this issue, this research study utilizes Response Surface Methodology (RSM) to model and predict the empirical corrosion rates caused by CO₂ under different temperature, rotation speed, and acetic acid (HAc) conditions. The experiments were conducted in a CO₂-saturated 3% NaCl solution, with HAc concentrations of 0, 70, 170, 270, and 340 ppm. The tests covered a temperature range of 22 to 80°C and rotation speeds from 1000 to 6000 rpm, all maintained at a pH of 5.5. The data was analyzed using MINITAB® version 15. The chosen second-order polynomial regression model effectively captures the relationships between temperature, HAc concentration, and rotation speed. Additionally, no significant interactions were observed among these variables. Mathematical models and visual observations obtained through Response Surface Methodology (RSM) aid in the analysis of stationary values. RSM also allows for the capture of other aspects, including temperature of scaling, and the dynamics of flow rate. This methodology enables a more comprehensive analysis of both individual and interaction effects between variables.

Keywords
CO2 corrosion prediction, RSM, Carbon steels, pH 5.5, Acidic Solutions.

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