Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Lo...
Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Low-Carbon Bainitic Steels
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
An artificial neural network (ANN) model was designed to predict the tensile properties in high-strength, low-carbon bainitic steels with a focus on the fraction of constituents such as PF (polygonal ferrite), AF (acicular ferrite), GB (granular bainite), and BF (bainitic ferrite). The input parameters of the model were the fraction of constituents...
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Full title
Application of Artificial Neural Network to the Prediction of Tensile Properties in High-Strength Low-Carbon Bainitic Steels
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TN_cdi_doaj_primary_oai_doaj_org_article_2f3bfc472ec248afb60768950b256405
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f3bfc472ec248afb60768950b256405
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ISSN
2075-4701
E-ISSN
2075-4701
DOI
10.3390/met11081314
