Department of Mechanical Engineering and Materials Science, Yale University, New Haven, Connecticut, 06511, USA.
Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, New Jersey, 08854, USA.
Sci Rep. 2017 Aug 2;7(1):7155. doi: 10.1038/s41598-017-07719-2.
The glass forming ability (GFA) of metallic glasses (MGs) is quantified by the critical cooling rate (R ). Despite its key role in MG research, experimental challenges have limited measured R to a minute fraction of known glass formers. We present a combinatorial approach to directly measure R for large compositional ranges. This is realized through the use of compositionally-graded alloy libraries, which were photo-thermally heated by scanning laser spike annealing of an absorbing layer, then melted and cooled at various rates. Coupled with X-ray diffraction mapping, GFA is determined from direct R measurements. We exemplify this technique for the Au-Cu-Si system, where we identify AuCuSi as the alloy with the highest GFA. In general, this method enables measurements of R over large compositional areas, which is powerful for materials discovery and, when correlating with chemistry and other properties, for a deeper understanding of MG formation.
金属玻璃（MGs）的玻璃形成能力（GFA）通过临界冷却速率（R ）来量化。尽管它在 MG 研究中起着关键作用，但实验挑战将已测量的 R 值限制在已知玻璃形成者的一小部分。我们提出了一种组合方法来直接测量大成分范围内的 R 。这是通过使用成分渐变的合金库来实现的，该合金库通过吸收层的扫描激光热脉冲退火进行光热加热，然后以不同的速率熔化和冷却。与 X 射线衍射映射相结合，从直接 R 值测量确定 GFA。我们以 Au-Cu-Si 系统为例说明了该技术，其中我们确定 AuCuSi 是具有最高 GFA 的合金。通常，这种方法能够在大的成分区域内测量 R 值，这对于材料发现非常有用，并且当与化学性质和其他性质相关联时，对于更深入地了解 MG 的形成也很有帮助。
