Alar, Vesna and Žmak, Irena and Runje, Biserka and Horvatić Novak, Amalija (2016) Development of models for prediction of corrosion and pitting potential on AISI 304 stainless steel in different environmental conditions. = Development of models for prediction of corrosion and pitting potential on AISI 304 stainless steel in different environmental conditions. International Journal of Electrochemical Science, 11. pp. 7674-7689. ISSN 1452-3981. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q3 (2016). Točan broj autora: 4.
Full text not available from this repository.Abstract
Stainless steels are found in various aerated aqueous electrolytes in a passive state which protects them from corrosion. In many aggressive solutions, stainless steels are easily depassivated, which can lead to different types of corrosion. This paper tested the impact of chloride ions at different concentration, temperatures and pH values on the corrosion and pitting potential of AISI 304 stainless steel. In order to predict the behaviour of AISI 304 stainless steel design of experiment and artificial neural network methods were applied. Results of the developed models showed good agreement with the experimental results and no significant differences between models.
| Item Type: | Article (["eprint_fieldopt_article_type_article" not defined]) |
|---|---|
| Keywords (Croatian): | pitting corrosion; artificial neural network; surface response methodology; measurement uncertainty |
| Subjects: | TECHNICAL SCIENCE > Mechanical Engineering |
| Divisions: | 1000 Department of Materials > 1010 Chair of Materials and Tribology 1100 Department of Welded Structures > 1120 Chair of Materials Protection 800 Department of Quality > 810 Chair of Precise Measurement and Quality |
| Indexed in Web of Science: | Yes |
| Indexed in Current Contents: | Yes |
| Quartiles: | Q3 (2016) |
| Date Deposited: | 21 Sep 2016 10:23 |
| Last Modified: | 04 Sep 2018 15:07 |
| URI: | http://repozitorij.fsb.hr/id/eprint/6673 |
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