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

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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Main Authors: Asmara, Y. P., Sutjipto, A. G. E., Siregar, J. P., Kurniawan, Tedi, Jamiluddin, Jaafar
Format: Article
Language:English
Published: International Journal of Mechanical Engineering and Robotics Research 2019
Subjects:
TJ Mechanical engineering and machinery
Online Access: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
id ump-25500
recordtype eprints
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 https://doi.org/10.18178/ijmerr.8.3.374-379 10.18178/ijmerr.8.3.374-379
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
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
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
format Article
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.
title 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_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_sort analyses corrosion prediction software for co2 corrosion of carbon steel using statistical formulas
publisher International Journal of Mechanical Engineering and Robotics Research
publishDate 2019
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
first_indexed 2023-09-18T22:39:11Z
last_indexed 2023-09-18T22:39:11Z
_version_ 1777416799781912576

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