Research progress in effects of Sm on structural and functional properties of magnesium alloys

Magnesium alloy is a lightweight metallic material with huge potential for application in automobile, rail transit and aerospace, it can provide a solid support for the green and low-carbon development of China’s manufacturing industry. However, Traditional magnesium alloys have disadvantages such a...

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Bibliographic Details
Published in:Cailiao gongcheng
Main Authors: LIU Feng, HU Wenxin, YANG Zhenghua, GUO He, HE Wei, WANG Wei
Format: Article
Language:Chinese
Published: Journal of Materials Engineering 2025-08-01
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Online Access:https://jme.biam.ac.cn/CN/10.11868/j.issn.1001-4381.2023.000863
Description
Summary:Magnesium alloy is a lightweight metallic material with huge potential for application in automobile, rail transit and aerospace, it can provide a solid support for the green and low-carbon development of China’s manufacturing industry. However, Traditional magnesium alloys have disadvantages such as low absolute strength, poor room temperature plasticity, low corrosion resistance and thermal conductivity. The rare earth(RE) elements are indispensable for enhancing the structural and functional properties of magnesium alloys. This paper reviews the effect of samarium (Sm) on mechanical properties, corrosion resistance and thermal conductivity of magnesium alloys. The mechanisms through which Sm influences magnesium alloys are systematically elucidated from various perspectives, including solute atoms, intermetallic compounds, precipitates, and RE textures. For the future development of magnesium alloys containing Sm, the following strategies are proposed: investigating the impact of Sm on the mechanical properties of magnesium alloys at elevated temperatures; optimizing composition and heat treatment to control microgalvanic cathodic reactions and enhance corrosion resistance; conducting research on the effects of twins, dislocations, and textures on the thermal conductivity of magnesium alloys containing Sm, and establishing corresponding prediction models.
ISSN:1001-4381