A multi-factorial mathematical model for the selection of electropolishing parameters with a view to reducing the environmental impact.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
03 05 2021
03 05 2021
Historique:
received:
27
08
2020
accepted:
12
04
2021
entrez:
4
5
2021
pubmed:
5
5
2021
medline:
5
5
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33941801
doi: 10.1038/s41598-021-88731-5
pii: 10.1038/s41598-021-88731-5
pmc: PMC8093221
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
9443Références
Sci Rep. 2020 Jul 22;10(1):12244
pubmed: 32699372
Materials (Basel). 2020 Jun 04;13(11):
pubmed: 32512733
Sci Rep. 2019 Mar 14;9(1):4475
pubmed: 30872666
J Mater Sci Mater Med. 2006 Jul;17(7):647-57
pubmed: 16770550
J Environ Manage. 2016 Sep 1;179:1-20
pubmed: 27149285
Sci Rep. 2020 May 13;10(1):7915
pubmed: 32404871