Analysing the degree of sensitisation in 5xxx series aluminium alloys using artificial neural networks: A tool for alloy design
作者： Ruifeng Zhang , Jinfeng Li , Qian Li , Yuanshen Qi , Zhuoran Zeng
DOI: 10.1016/J.CORSCI.2019.02.003
关键词:
摘要: Abstract The 5xxx series aluminium alloys are susceptible to sensitisation during service at elevated temperatures. Sensitisation refers deleterious grain boundary precipitation resulting in rapid intergranular corrosion moist environments. A holistic understanding of the variables that can influence degree Al-Mg-Mn is presented herein, including exploration some custom produced were prepared create a significant dataset for which an artificial neural network (ANN) could be applied. An ANN model reveal complex interactions between various factors sensitisation, with view designing resistant alloys.
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