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: Chamanthi Denisha Jayaweera, David Fernandes del Pozo, Ivaylo Plamenov Hitsov, Maxime Van Haeverbeke, Thomas Diekow, Arne Verliefde, Ingmar Nopens
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-024-00545-8
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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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