Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors
Abstract Optimizing dosages of corrosion inhibitors requires experimental data gathered from time-consuming methods. The current study examines the feasibility of optimizing inhibitor dosages using a model trained for predicting corrosion rates more easily measured using linear polarization resistan...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-024-00545-8 |
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| _version_ | 1846112370841092096 |
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| author | Chamanthi Denisha Jayaweera David Fernandes del Pozo Ivaylo Plamenov Hitsov Maxime Van Haeverbeke Thomas Diekow Arne Verliefde Ingmar Nopens |
| author_facet | Chamanthi Denisha Jayaweera David Fernandes del Pozo Ivaylo Plamenov Hitsov Maxime Van Haeverbeke Thomas Diekow Arne Verliefde Ingmar Nopens |
| author_sort | Chamanthi Denisha Jayaweera |
| collection | DOAJ |
| description | Abstract Optimizing dosages of corrosion inhibitors requires experimental data gathered from time-consuming methods. The current study examines the feasibility of optimizing inhibitor dosages using a model trained for predicting corrosion rates more easily measured using linear polarization resistance in a full-scale cooling water system. A comprehensive study on variable selection showed that linearly correlated variables are necessary to predict corrosion trends. The Sobol sensitivity of inhibitors is trivialized by variables linearly correlated to the corrosion rate. The study highlights the importance of achieving high model prediction accuracy and high Sobol sensitivity of inhibitors to the corrosion rate, for using the model for inhibitor dosage optimization. |
| format | Article |
| id | doaj-art-c779bc8443cd45b4ad72519cdbb11209 |
| institution | Kabale University |
| issn | 2397-2106 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Materials Degradation |
| spelling | doaj-art-c779bc8443cd45b4ad72519cdbb112092024-12-22T12:39:03ZengNature Portfolionpj Materials Degradation2397-21062024-12-018111210.1038/s41529-024-00545-8Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitorsChamanthi Denisha Jayaweera0David Fernandes del Pozo1Ivaylo Plamenov Hitsov2Maxime Van Haeverbeke3Thomas Diekow4Arne Verliefde5Ingmar Nopens6CAPTURE - Centre for advanced process technology for urban resource recovery, Frieda Saeysstraat 1CAPTURE - Centre for advanced process technology for urban resource recovery, Frieda Saeysstraat 1CAPTURE - Centre for advanced process technology for urban resource recovery, Frieda Saeysstraat 1KERMIT – Knowledge-based systems, Department of data analysis and mathematical modeling, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653Dow Olefinverbund GmbHCAPTURE - Centre for advanced process technology for urban resource recovery, Frieda Saeysstraat 1CAPTURE - Centre for advanced process technology for urban resource recovery, Frieda Saeysstraat 1Abstract Optimizing dosages of corrosion inhibitors requires experimental data gathered from time-consuming methods. The current study examines the feasibility of optimizing inhibitor dosages using a model trained for predicting corrosion rates more easily measured using linear polarization resistance in a full-scale cooling water system. A comprehensive study on variable selection showed that linearly correlated variables are necessary to predict corrosion trends. The Sobol sensitivity of inhibitors is trivialized by variables linearly correlated to the corrosion rate. The study highlights the importance of achieving high model prediction accuracy and high Sobol sensitivity of inhibitors to the corrosion rate, for using the model for inhibitor dosage optimization.https://doi.org/10.1038/s41529-024-00545-8 |
| spellingShingle | Chamanthi Denisha Jayaweera David Fernandes del Pozo Ivaylo Plamenov Hitsov Maxime Van Haeverbeke Thomas Diekow Arne Verliefde Ingmar Nopens Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors npj Materials Degradation |
| title | Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| title_full | Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| title_fullStr | Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| title_full_unstemmed | Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| title_short | Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| title_sort | assessing the feasibility of using a data driven corrosion rate model for optimizing dosages of corrosion inhibitors |
| url | https://doi.org/10.1038/s41529-024-00545-8 |
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