Journal
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
Volume 67, Issue -, Pages 254-264Publisher
JOURNAL MATER SCI TECHNOL
DOI: 10.1016/j.jmst.2020.08.028
Keywords
Metallic glass; Composition; Elastic constant; Mechanical property; Glass-forming ability
Funding
- National Natural Science Foundation of China (NSFC) [51771205,51331007]
- LiaoNing Revitalization Talents Program [XLYC1808027]
- Youth Innovation Promotion Association CAS
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By establishing quantitative correlations among compositions, elastic constants, GFA, and mechanical properties of metallic glasses (MGs), it is possible to predict their performance in advance. Experimental data confirms the validity of this predictive approach. A strategy for designing MGs with optimal combinations of strength, toughness, and GFA is proposed to allow for high-throughput discovery of glass formers with excellent mechanical properties.
It is a long-standing challenge to search for metallic glasses (MGs) with optimal combinations of glass-forming ability ( GFA), strength and toughness in the vast compositional space. By taking into account both recently developed ellipse criterion and temperature-based GFA criterion, here we established quantitative correlations among compositions, elastic constants, GFA and mechanical properties of MGs, which enable to predict the GFA, fracture strength and fracture surface simultaneously in advance once the compositions of MGs are determined. Experimental data confirm the validity of this approach in prediction. Finally, a strategy for designing MGs with optimal combinations of strength, toughness and GFA is proposed, which allows for high-throughput discovering glass formers with excellent mechanical properties. (C) 2021 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.
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