UMP Institutional Repository

Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas

Asmara, Y. P. and Sutjipto, A. G. E. and Siregar, J. P. and Kurniawan, Tedi and Jamiluddin, Jaafar (2019) Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas. International Journal of Mechanical Engineering and Robotics Research, 8 (3). pp. 374-379. ISSN 2278-0149

[img] Pdf
2019, YP Asmara et. al., Analyses Corrosion Prediction Software for CO2.pdf
Restricted to Registered users only

Download (1MB) | Request a copy

Abstract

The statistical formulas are capable tools to find a regression of corrosion rate effectively among combining factors. One type of statistical model which is response surface methodology (RSM) has shown a proven method in minimizing number of running. Through this technique, this research study predicting corrosion rate of carbon steel as effects of pH, CO 2 pressure and temperature. It can be used to run 3 dependent factors, 3 level experiment with only 16 number of running. The result reveals that NORSOK corrosion prediction software with second order model regression has 98 % of coefficient determination. Model prediction of Cassandra has 99.3% of coefficient determination. Second order model also has been verified with experimental data which shows a good correlation

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Carbon steel; CO2 Corrosion; Corrosion models
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Industrial Sciences And Technology
Faculty of Mechanical Engineering
Depositing User: Ir. Dr. Jamiluddin Jaafar
Date Deposited: 25 Oct 2019 08:35
Last Modified: 25 Oct 2019 08:35
URI: http://umpir.ump.edu.my/id/eprint/25500
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item