| Texto completo | |
| Autor(es): |
Van der Weeen, Pieter
[1]
;
Zimer, Alexsandro M.
[2]
;
Pereira, Ernesto C.
[2]
;
Mascaro, Lucia H.
[2]
;
Bruno, Odemir M.
[3]
;
De Baets, Bernard
[1]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Ghent, Dept Math Modelling Stat & Bioinformat, KERMIT, B-9000 Ghent - Belgium
[2] Univ Fed Sao Carlos, Dept Chem, LIEC, BR-13565905 Sao Paulo - Brazil
[3] Univ Sao Paulo, Inst Ciencias Matemat & Comp, BR-13560970 Sao Paulo - Brazil
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Corrosion Science; v. 82, p. 133-144, MAY 2014. |
| Citações Web of Science: | 20 |
| Resumo | |
Pitting corrosion is difficult to detect, predict and design against. Modeling and simulation can help to increase the knowledge on this phenomenon as well as to make predictions on the initiation and progression of it. A cellular automaton based model describing pitting corrosion is developed based on the main mechanisms behind this phenomenon. Further, a sensitivity analysis is performed in order to get a better insight in the model, after which the information gained from this analysis is employed to estimate the model parameters by means of experimental time series for a metal electrode in contact with different chloride concentrations. (C) 2014 Elsevier Ltd. All rights reserved. (AU) | |
| Processo FAPESP: | 11/19430-0 - Investigação in situ da corrosão do aço carbono por meio de series temporais de imagens acoplada a técnicas eletroquímicas |
| Beneficiário: | Alexsandro Mendes Zimer |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |