Combinatorial measurement of critical cooling rates in aluminum-base metallic glass forming alloys

Abstract

Direct measurement of critical cooling rates has been challenging and only determined for a minute fraction of the reported metallic glass forming alloys. Here, we report a method that directly measures critical cooling rate of thin film metallic glass forming alloys in a combinatorial fashion. Based on a universal heating architecture using indirect laser heating and a microstructure analysis this method offers itself as a rapid screening technique to quantify glass forming ability. We use this method to identify glass forming alloys and study the composition effect on the critical cooling rate in the Al–Ni–Ge system where we identified Al51Ge35Ni14 as the best glass forming composition with a critical cooling rate of 104 K/s.

Machine Learning Prediction of the Critical Cooling Rate for Metallic Glasses from Expanded Datasets and Elemental Features

“…This limitation is unfortunate but may be less problematic in the future as the community is developing new combinatorial approaches to experimentally investigate large composition ranges of a system. For example, researchers were recently able to synthesize and characterize R C over a large region of the Al–Ge–Ni ternary using high-throughput methods …”

“…One data point (pure nickel) was removed from this database due to being approximated by different methods. Twenty-five more R C measurements not in Long et al’s database were found from eight more papers for a total of 77 experimental R C measurements. − R C values are converted to a log scale for easier representation across the wide range of orders of magnitude. Values range from 10 –2 to 10 7.7 K/s with an average of 10 1.96 K/s.…”

Compositional dependence of the fragility in metallic glass forming liquids

“…We apply the film inflation principle 41 in temperature-scanning mode, implemented in our custom-built setup to precisely measure the temperature dependence of the viscosity. The sample fabrication and measurement process utilize high-throughput techniques and automation, combining efficiency with high quality standards 15 , 39 , 40 , 42 – 47 . Altogether, this enables us to measure the fragility for an unparalleled 170 different alloys in the Mg–Cu–Y glass forming system 11 , 48 , 49 .…”

Combinatorial Design of Amorphous Tanisic Thin Films with Enhanced Hardness, Thermal Stability, and Corrosion Resistance

“…Furthermore, the high cooling rate [25] can be utilized to synthesize metallic glasses over wide composition ranges [26], whereby composition and property relationships can be determined. In this work, combinatorial design approaches and compositional tuning [27,18,6,[28][29][30] have been employed to enhance the material properties of TaNiSiC and TaNiC glasses, which to our knowledge have not been studied before. They are expected to form metallic glasses over wide composition ranges due to high cooling rates during sputtering and their spread in atomic radii (Ta: 147 pm, Ni: 127 pm, Si: 117 pm, and C: 77 pm) [32,33].…”