Li Yanglin, Zhao Shaofan, Liu Yanhui, Gong Pan, Schroers Jan
Department of Mechanical Engineering and Material Science, Yale University New Haven, Connecticut 06511, United States.
Institute of Physics, Chinese Academy of Sciences , Beijing, 100190, China.
ACS Comb Sci. 2017 Nov 13;19(11):687-693. doi: 10.1021/acscombsci.7b00048. Epub 2017 Sep 27.
Quantitative prediction of glass forming ability using a priori known parameters is highly desired in metallic glass development; however proven to be challenging because of the complexity of glass formation. Here, we estimate the number of potential metallic glasses (MGs) and bulk metallic glasses (BMGs) forming systems and alloys, from empirically determined alloy design rules based on a priori known parameters. Specifically, we take into account atomic size ratio, heat of mixing, and liquidus temperature, which we quantify on binary glasses and centimeter-sized BMGs. When expanding into higher order systems that can be formed among 32 practical elements, we reduce the composition space for BMG formation using developed criteria by 10 times and estimate ∼3 million binary, ternary, quaternary, and quinary BMGs alloys.
在金属玻璃开发中，非常希望能使用先验已知参数对玻璃形成能力进行定量预测；然而，由于玻璃形成的复杂性，这已被证明具有挑战性。在此，我们根据基于先验已知参数的经验确定的合金设计规则，估算了潜在的金属玻璃（MG）和块体金属玻璃（BMG）形成体系及合金的数量。具体而言，我们考虑了原子尺寸比、混合热和液相线温度，我们在二元玻璃和厘米尺寸的BMG上对这些参数进行了量化。当扩展到可在32种实用元素之间形成的高阶体系时，我们使用已开发的标准将BMG形成的成分空间缩小了10倍，并估算出约300万种二元、三元、四元和五元BMG合金。
