Corrosion of magnesium alloy containing LPSO phase based on machine learning
Magnesium alloy containing LPSO phase has excellent comprehensive mechanical properties and has a wide application prospect in rail transit,aerospace,biomedical and other fields,but its corrosive properties greatly restrict the wide application of this type of alloy.This paper focused on the emerging field of machine learning-assisted research on alloy corrosion,and first summarized the application progress of machine learning in the fields of alloy corrosion research,in order to construct a corrosion prediction model of magnesium alloy containing LPSO phase through machine learning methods and clarified the phase corrosion mechanism of LPSO.Secondly,the influence of LPSO phase content,shape,structure and distribution on the corrosion properties of the alloy was systematically summarized,which provided reference and theoretical guidance for establishing an accurate and reliable corrosion model.Finally,the development opportunities and challenges of machine learning in the field of corrosion of magnesium alloy containing LPSO phase were discussed,and the development prospects were prospected.
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