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...
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| Format: | Article |
| Language: | en |
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International Journal of Mechanical Engineering and Robotics Research
2019
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| Online Access: | http://eprints.uthm.edu.my/7158/1/J14208_f2ea060f53dd6e7ae3a94a8cc5201855.pdf http://eprints.uthm.edu.my/7158/ https://doi.org/10.18178/ijmerr.8.3.374-379 |
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| author | Asmara, Y. P. Sutjipto, A. G. E. J. P., Siregar T., Kurniawan Jaafar, Jaafar |
| author_facet | Asmara, Y. P. Sutjipto, A. G. E. J. P., Siregar T., Kurniawan Jaafar, Jaafar |
| author_sort | Asmara, Y. P. |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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, CO2
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. |
| format | Article |
| id | my.uthm.eprints-7158 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2019 |
| publisher | International Journal of Mechanical Engineering and Robotics Research |
| record_format | eprints |
| spelling | my.uthm.eprints-71582022-06-14T02:10:45Z http://eprints.uthm.edu.my/7158/ Analyses corrosion prediction software for CO2 corrosion of carbon steel using statistical formulas Asmara, Y. P. Sutjipto, A. G. E. J. P., Siregar T., Kurniawan Jaafar, Jaafar T Technology (General) 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, CO2 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 Article PeerReviewed text en http://eprints.uthm.edu.my/7158/1/J14208_f2ea060f53dd6e7ae3a94a8cc5201855.pdf Asmara, Y. P. and Sutjipto, A. G. E. and J. P., Siregar and T., Kurniawan and Jaafar, 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 https://doi.org/10.18178/ijmerr.8.3.374-379 |
| spellingShingle | T Technology (General) Asmara, Y. P. Sutjipto, A. G. E. J. P., Siregar T., Kurniawan Jaafar, 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 | T Technology (General) |
| url | http://eprints.uthm.edu.my/7158/1/J14208_f2ea060f53dd6e7ae3a94a8cc5201855.pdf http://eprints.uthm.edu.my/7158/ https://doi.org/10.18178/ijmerr.8.3.374-379 |
| url_provider | http://eprints.uthm.edu.my/ |