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A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact

Electrochemical metal processing is a process that generates harmful pollution. An important goal often disregarded by researchers is not only the achievement of the best possible quality of electropolished surface, but also minimising the load of metal ions in the wastewater generated in the proces...

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Autores principales: Lochyński, Paweł, Charazińska, Sylwia, Karczewski, Maciej, Łyczkowska-Widłak, Edyta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093221/
https://www.ncbi.nlm.nih.gov/pubmed/33941801
http://dx.doi.org/10.1038/s41598-021-88731-5
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author Lochyński, Paweł
Charazińska, Sylwia
Karczewski, Maciej
Łyczkowska-Widłak, Edyta
author_facet Lochyński, Paweł
Charazińska, Sylwia
Karczewski, Maciej
Łyczkowska-Widłak, Edyta
author_sort Lochyński, Paweł
collection PubMed
description Electrochemical metal processing is a process that generates harmful pollution. An important goal often disregarded by researchers is not only the achievement of the best possible quality of electropolished surface, but also minimising the load of metal ions in the wastewater generated in the process. The conducted experiments on the electropolishing of stainless steel in laboratory conditions, varied time, temperature and current density conditions, as well as process bath contamination (ranging from 0 to 6% Fe mass) allowed us to develop a multi-factorial mathematical model. This model offers the possibility of being able to select the process parameters recommended for achieving the desired effects. It takes into account such surface quality parameters as roughness and gloss, process duration and current density that determine power consumption, as well as the weight loss of the electropolished element that influence the rate of contamination in processing baths and wastewater. The study presents the composition of a passive film of stainless steel after the electropolishing process at the initial and final stages of the process bath’s exploitation. The results obtained from XPS tests were then correlated with the results of corrosion tests and resistance to pitting corrosion in the environment of 0.1 M NaCl.
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spelling pubmed-80932212021-05-05 A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact Lochyński, Paweł Charazińska, Sylwia Karczewski, Maciej Łyczkowska-Widłak, Edyta Sci Rep Article Electrochemical metal processing is a process that generates harmful pollution. An important goal often disregarded by researchers is not only the achievement of the best possible quality of electropolished surface, but also minimising the load of metal ions in the wastewater generated in the process. The conducted experiments on the electropolishing of stainless steel in laboratory conditions, varied time, temperature and current density conditions, as well as process bath contamination (ranging from 0 to 6% Fe mass) allowed us to develop a multi-factorial mathematical model. This model offers the possibility of being able to select the process parameters recommended for achieving the desired effects. It takes into account such surface quality parameters as roughness and gloss, process duration and current density that determine power consumption, as well as the weight loss of the electropolished element that influence the rate of contamination in processing baths and wastewater. The study presents the composition of a passive film of stainless steel after the electropolishing process at the initial and final stages of the process bath’s exploitation. The results obtained from XPS tests were then correlated with the results of corrosion tests and resistance to pitting corrosion in the environment of 0.1 M NaCl. Nature Publishing Group UK 2021-05-03 /pmc/articles/PMC8093221/ /pubmed/33941801 http://dx.doi.org/10.1038/s41598-021-88731-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lochyński, Paweł
Charazińska, Sylwia
Karczewski, Maciej
Łyczkowska-Widłak, Edyta
A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title_full A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title_fullStr A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title_full_unstemmed A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title_short A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
title_sort multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093221/
https://www.ncbi.nlm.nih.gov/pubmed/33941801
http://dx.doi.org/10.1038/s41598-021-88731-5
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