Knowledge Discovery in Predicting Martensite Start Temperature of Medium-Carbon Steels by Artificial...
Knowledge Discovery in Predicting Martensite Start Temperature of Medium-Carbon Steels by Artificial Neural Networks
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Martensite start (Ms) temperature is a critical parameter in the production of parts and structural steels and plays a vital role in heat treatment processes to achieve desired properties. However, it is often challenging to estimate accurately through experience alone. This study introduces a model that predicts the Ms temperature of medium-carbon...
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Knowledge Discovery in Predicting Martensite Start Temperature of Medium-Carbon Steels by Artificial Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_44422c76005c49d79452c48a4dc9be46
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_44422c76005c49d79452c48a4dc9be46
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ISSN
1999-4893
E-ISSN
1999-4893
DOI
10.3390/a18020116
