Unveiling the Alloying-Processing-Microstructure Correlations in High-Formability Sheet Magnesium Alloys

نویسندگان

چکیده

Designing magnesium sheet alloys for room temperature (RT) forming is a challenge due to the limited deformation modes offered by hexagonal close-packed crystal structure of magnesium. To overcome this lightweight applications, critical understanding alloying-processing–microstructure relationship in needed. In work, machine learning (ML) algorithms have been used fundamentally understand correlations RT formability alloys. Three databases built from 135 data collected literature were trained using 10 commonly models. The accuracy model obviously improved with increase number features. ML results analyzed advanced SHapley Additive exPlanations (SHAP) technique, and descriptors are ranked as follows: (1) microstructure: texture intensity > grain size; (2) annealing processing: time temperature; (3) alloying elements: Ca Zn Al Mn Gd Ce Y Ag Zr Si Sc Li Cu Nd. Overall, intensity, most important factors which can be guide high-formability alloy design.

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ژورنال

عنوان ژورنال: Metals

سال: 2023

ISSN: ['2075-4701']

DOI: https://doi.org/10.3390/met13040704