Enhanced processing map of Ti–6Al–2Sn–2Zr–2Mo–2Cr–0.15Si aided by extreme gradient boosting

A processing map is required for Ti alloys to find processing parameters securing a high formability. This study adopted the extreme gradient boosting (XGB) approach of machine learning to predict a flow curve and plot a processing map with less experiments for the first time. The optimum XGB model...

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Detalles Bibliográficos
Autores principales: Bae, Min Hwa, Kim, Minseob, Yu, Jinyeong, Lee, Min Sik, Lee, Sang Won, Lee, Taekyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582707/
https://www.ncbi.nlm.nih.gov/pubmed/36276728
http://dx.doi.org/10.1016/j.heliyon.2022.e10991

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9582707/
https://www.ncbi.nlm.nih.gov/pubmed/36276728
http://dx.doi.org/10.1016/j.heliyon.2022.e10991

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