Cargando…
PickT: A Decision-Making Tool for the Optimal Pickling Process Operation
This research approaches knowledge gaps related to the pickling process dynamic modelling (the lack of predictability and simplicity of existing models) and answers the practical need for a software tool to facilitate the optimum process operation (by delivering estimations of the optimum corrosion...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456836/ https://www.ncbi.nlm.nih.gov/pubmed/37629859 http://dx.doi.org/10.3390/ma16165567 |
_version_ | 1785096794950074368 |
---|---|
author | Crișan, Claudia Alice Timiș, Elisabeta Cristina Vermeșan, Horațiu |
author_facet | Crișan, Claudia Alice Timiș, Elisabeta Cristina Vermeșan, Horațiu |
author_sort | Crișan, Claudia Alice |
collection | PubMed |
description | This research approaches knowledge gaps related to the pickling process dynamic modelling (the lack of predictability and simplicity of existing models) and answers the practical need for a software tool to facilitate the optimum process operation (by delivering estimations of the optimum corrosion inhibitor addition, optimum pickling bath lifetime, corrosion rate dynamic evolution, and material mass loss). A decision-making tool, PickT, has been developed and verified with the help of measurements from two different pickling experiments, both involving steel in hydrochloric acid. The first round of experiments lasted 336 h (each pickling batch duration was 24 h) and Cetilpyridinium bromide (CPB) was the corrosion inhibitor in additions from 8% to 12%. The collected dataset served for the tool development and first verification. The second round of experiments lasted 10 h (each batch duration was 2 h) and involved metformin hydrochloride (MET) in additions between 3.3 g/L and 10 g/L. This dataset served to test the transferability of PickT to other operating conditions in terms of corrosion inhibitor type, additions, batch duration and pickling bath lifetime magnitude. In both cases PickT results are in accordance with experimental findings. The tool advantages consist of the straightforward applicability, the low amount of field data required for reliable forecasts and the accessibility for untrained professionals from the industry. |
format | Online Article Text |
id | pubmed-10456836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104568362023-08-26 PickT: A Decision-Making Tool for the Optimal Pickling Process Operation Crișan, Claudia Alice Timiș, Elisabeta Cristina Vermeșan, Horațiu Materials (Basel) Article This research approaches knowledge gaps related to the pickling process dynamic modelling (the lack of predictability and simplicity of existing models) and answers the practical need for a software tool to facilitate the optimum process operation (by delivering estimations of the optimum corrosion inhibitor addition, optimum pickling bath lifetime, corrosion rate dynamic evolution, and material mass loss). A decision-making tool, PickT, has been developed and verified with the help of measurements from two different pickling experiments, both involving steel in hydrochloric acid. The first round of experiments lasted 336 h (each pickling batch duration was 24 h) and Cetilpyridinium bromide (CPB) was the corrosion inhibitor in additions from 8% to 12%. The collected dataset served for the tool development and first verification. The second round of experiments lasted 10 h (each batch duration was 2 h) and involved metformin hydrochloride (MET) in additions between 3.3 g/L and 10 g/L. This dataset served to test the transferability of PickT to other operating conditions in terms of corrosion inhibitor type, additions, batch duration and pickling bath lifetime magnitude. In both cases PickT results are in accordance with experimental findings. The tool advantages consist of the straightforward applicability, the low amount of field data required for reliable forecasts and the accessibility for untrained professionals from the industry. MDPI 2023-08-10 /pmc/articles/PMC10456836/ /pubmed/37629859 http://dx.doi.org/10.3390/ma16165567 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Crișan, Claudia Alice Timiș, Elisabeta Cristina Vermeșan, Horațiu PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title | PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title_full | PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title_fullStr | PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title_full_unstemmed | PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title_short | PickT: A Decision-Making Tool for the Optimal Pickling Process Operation |
title_sort | pickt: a decision-making tool for the optimal pickling process operation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456836/ https://www.ncbi.nlm.nih.gov/pubmed/37629859 http://dx.doi.org/10.3390/ma16165567 |
work_keys_str_mv | AT crisanclaudiaalice picktadecisionmakingtoolfortheoptimalpicklingprocessoperation AT timiselisabetacristina picktadecisionmakingtoolfortheoptimalpicklingprocessoperation AT vermesanhoratiu picktadecisionmakingtoolfortheoptimalpicklingprocessoperation |