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Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors

Chamanthi Denisha Jayaweera (UGent) , David Fernandes del Pozo (UGent) , Ivaylo Plamenov Hitsov (UGent) , Maxime Van Haeverbeke (UGent) , Thomas Diekow, Arne Verliefde (UGent) and Ingmar Nopens (UGent)
(2024) NPJ MATERIALS DEGRADATION. 8(1).
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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.
Keywords
MILD-STEEL, CARBON-STEEL, BENZOTRIAZOLE, SELECTION, COPPER, PHOSPHATE, ALLOYS

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MLA
Jayaweera, Chamanthi Denisha, et al. “Assessing the Feasibility of Using a Data-Driven Corrosion Rate Model for Optimizing Dosages of Corrosion Inhibitors.” NPJ MATERIALS DEGRADATION, vol. 8, no. 1, 2024, doi:10.1038/s41529-024-00545-8.
APA
Jayaweera, C. D., Fernandes del Pozo, D., Hitsov, I. P., Van Haeverbeke, M., Diekow, T., Verliefde, A., & Nopens, I. (2024). Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors. NPJ MATERIALS DEGRADATION, 8(1). https://doi.org/10.1038/s41529-024-00545-8
Chicago author-date
Jayaweera, Chamanthi Denisha, David Fernandes del Pozo, Ivaylo Plamenov Hitsov, Maxime Van Haeverbeke, Thomas Diekow, Arne Verliefde, and Ingmar Nopens. 2024. “Assessing the Feasibility of Using a Data-Driven Corrosion Rate Model for Optimizing Dosages of Corrosion Inhibitors.” NPJ MATERIALS DEGRADATION 8 (1). https://doi.org/10.1038/s41529-024-00545-8.
Chicago author-date (all authors)
Jayaweera, Chamanthi Denisha, David Fernandes del Pozo, Ivaylo Plamenov Hitsov, Maxime Van Haeverbeke, Thomas Diekow, Arne Verliefde, and Ingmar Nopens. 2024. “Assessing the Feasibility of Using a Data-Driven Corrosion Rate Model for Optimizing Dosages of Corrosion Inhibitors.” NPJ MATERIALS DEGRADATION 8 (1). doi:10.1038/s41529-024-00545-8.
Vancouver
1.
Jayaweera CD, Fernandes del Pozo D, Hitsov IP, Van Haeverbeke M, Diekow T, Verliefde A, et al. Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors. NPJ MATERIALS DEGRADATION. 2024;8(1).
IEEE
[1]
C. D. Jayaweera et al., “Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors,” NPJ MATERIALS DEGRADATION, vol. 8, no. 1, 2024.
@article{01JFHS2296CY3CGXSPHE0KN2EH,
  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.}},
  articleno    = {{127}},
  author       = {{Jayaweera, Chamanthi Denisha and Fernandes del Pozo, David and Hitsov, Ivaylo Plamenov and Van Haeverbeke, Maxime and Diekow, Thomas and Verliefde, Arne and Nopens, Ingmar}},
  issn         = {{2397-2106}},
  journal      = {{NPJ MATERIALS DEGRADATION}},
  keywords     = {{MILD-STEEL,CARBON-STEEL,BENZOTRIAZOLE,SELECTION,COPPER,PHOSPHATE,ALLOYS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{12}},
  title        = {{Assessing the feasibility of using a data-driven corrosion rate model for optimizing dosages of corrosion inhibitors}},
  url          = {{http://doi.org/10.1038/s41529-024-00545-8}},
  volume       = {{8}},
  year         = {{2024}},
}
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