Quantitative estimation of corrosion rate in 3C steels under seawater environment
نویسندگان
چکیده
An artificial neural network method is proposed to correlate the relationship between corrosion rate of 3C steels with seawater environment factors. The predictions unseen test data are in good agreement experimental values. Further, developed model used simulate combined effect environmental factors (temperature, dissolved oxygen, salinity, pH values, and oxidation-reduction potential) on rate. 3D mappings remarkably reveal complex interrelationship input parameters output quantitative estimation by virtual addition/subtraction individually a hypothetical system helps understand impact each parameter.
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ژورنال
عنوان ژورنال: Journal of materials research and technology
سال: 2021
ISSN: ['2238-7854', '2214-0697']
DOI: https://doi.org/10.1016/j.jmrt.2021.01.039