Prediction of mechanical properties of Mg-rare earth alloys by machine learning

Autor: Jie Lu, Yanghua Chen, Meng Xu, Yingzhang

Publikováno v: Materials Research Express, Vol 9, Iss 10, p 106519 (2022)

In this work, the quantitative relationship among the composition, processing history and mechanical properties of Magnesium-rare earth alloys was established by machine learning (ML). Based on support vector regression (SVR) algorithm, ML models wer

Externí odkaz: https://doaj.org/article/90cde034b3b942a5861b4ad4a492376f

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Texture Selection Mechanisms during Recrystallization and Grain Growth of a Magnesium-Erbium-Zinc Alloy

Autor: Talal Al-Samman, Fatim-Zahra Mouhib, Fengyang Sheng, Risheng Pei, Ramandeep Mandia, Sandra Korte-Kerzel

Publikováno v: Metals
Volume 11
Issue 1
Metals : open access journal 11(1), 171 (2021). doi:10.3390/met11010171 special issue: "Special Issue "Microstructure-Mechanical Properties and Application of Magnesium Alloys" / Special Issue Editors: Dr. Talal Al-Samman, Guest Editor; Dr. Sangbong Yi, Guest Editor; Dr. Dietmar Letzig, Guest Editor"
Metals, Vol 11, Iss 171, p 171 (2021)

Binary and ternary Mg-1%Er/Mg-1%Er-1%Zn alloys were rolled and subsequently subjected to various heat treatments to study texture selection during recrystallization and following grain growth. The results revealed favorable texture alterations in bot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::872619b7bfd80fab442ed51510d50495