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Analysing the degree of sensitisation in 5xxx series aluminium alloys using artificial neural networks: A tool for alloy design

journal contribution
posted on 2024-11-02, 10:35 authored by Ruifeng Zhang, Jinfeng Li, Qian Li, Yuanshen Qi, Zhuoran Zeng, Yao Qiu, Xiaobo ChenXiaobo Chen, Shravan Kairy, Sebastian Thomas, Nick Birbilis
The 5xxx series aluminium alloys are susceptible to sensitisation during service at elevated temperatures. Sensitisation refers to deleterious grain boundary precipitation resulting in rapid intergranular corrosion in moist environments. A holistic understanding of the variables that can influence the degree of sensitisation in Al-Mg-Mn alloys is presented herein, including the exploration of some custom produced 5xxx series alloys that were prepared to create a significant dataset for which an artificial neural network (ANN) could be applied. An ANN model could reveal complex interactions between various factors that influence sensitisation, with the view to designing sensitisation resistant Al-Mg-Mn alloys.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.corsci.2019.02.003
  2. 2.
    ISSN - Is published in 0010938X

Journal

Corrosion Science

Volume

150

Start page

268

End page

278

Total pages

11

Publisher

Pergamon Press

Place published

United Kingdom

Language

English

Copyright

© 2019 Elsevier

Former Identifier

2006090369

Esploro creation date

2020-06-22

Fedora creation date

2019-04-30

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