Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas
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 pred...
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| Format: | Article |
| Language: | English |
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International Journal of Mechanical Engineering and Robotics Research
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/25500/ http://umpir.ump.edu.my/id/eprint/25500/1/2019%2C%20YP%20Asmara%20et.%20al.%2C%20Analyses%20Corrosion%20Prediction%20Software%20for%20CO2.pdf |
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| author | Asmara, Y. P. Sutjipto, A. G. E. Siregar, J. P. Kurniawan, Tedi Jamiluddin, Jaafar |
| author_facet | Asmara, Y. P. Sutjipto, A. G. E. Siregar, J. P. Kurniawan, Tedi Jamiluddin, Jaafar |
| author_sort | Asmara, Y. P. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-15T02:38:58Z |
| format | Article |
| id | ump-25500 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:38:58Z |
| publishDate | 2019 |
| publisher | International Journal of Mechanical Engineering and Robotics Research |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-255002019-10-25T08:35:24Z http://umpir.ump.edu.my/id/eprint/25500/ Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas Asmara, Y. P. Sutjipto, A. G. E. Siregar, J. P. Kurniawan, Tedi Jamiluddin, Jaafar TJ Mechanical engineering and machinery 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 International Journal of Mechanical Engineering and Robotics Research 2019-05 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25500/1/2019%2C%20YP%20Asmara%20et.%20al.%2C%20Analyses%20Corrosion%20Prediction%20Software%20for%20CO2.pdf 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. (Published) https://doi.org/10.18178/ijmerr.8.3.374-379 10.18178/ijmerr.8.3.374-379 |
| spellingShingle | TJ Mechanical engineering and machinery Asmara, Y. P. Sutjipto, A. G. E. Siregar, J. P. Kurniawan, Tedi Jamiluddin, Jaafar Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title | Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title_full | Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title_fullStr | Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title_full_unstemmed | Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title_short | Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas |
| title_sort | analyses corrosion prediction software for co2 corrosion of carbon steel using statistical formulas |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/25500/ http://umpir.ump.edu.my/id/eprint/25500/ http://umpir.ump.edu.my/id/eprint/25500/ http://umpir.ump.edu.my/id/eprint/25500/1/2019%2C%20YP%20Asmara%20et.%20al.%2C%20Analyses%20Corrosion%20Prediction%20Software%20for%20CO2.pdf |