High-Throughput and Systematic Study of Phase Transformations and Metastability Using Dual-Anneal Diffusion Multiples
High-Throughput and Systematic Study of Phase Transformations and Metastability Using Dual-Anneal Diffusion Multiples
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使用双退火扩散多次进行相变和亚稳态的高通量系统研究
DOI：
10.1007/s11661-020-05915-w
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Zhao, Ji-Cheng
中科院分区：
文献类型：
--
作者：
Zhao, Ji-Cheng
本文重点介绍了双退火扩散倍数（DADMs）在进行相变和亚稳态的高通量和系统研究中的能力。dadm在高温第一次退火过程中通过元素的相互扩散产生广泛的固溶体组成。淬火至室温后，每个扩散倍数可切割成几片，每片进一步在较低/秒温度下单独退火。相变发生在第一次退火过程中形成的固溶体成分的过饱和区域，由于不同的驱动力、界面能和其他因素导致样品中不同区域的成分不同，导致各种析出物。通过对切片扩散倍数分别进行不同的退火时间和不同的二次退火温度，可以收集到非常大的相变动力学和沉淀形态随成分、时间和温度变化的数据集。在Fe-Cr-Mo三元体系中，系统地观察到了亚稳相及其向更稳定相的转变，这种转变跨越了广泛的组成、温度和退火时间，从而提供了大量关于相亚稳性的信息。可以系统地收集亚稳相和稳定相的溶液，以便更可靠地对亚稳相的吉布斯自由能进行CALPHAD评估。通过调整Kampmann-Wagner Numerical （KWN）等模拟模型的界面能值，将模拟的不同组分的析出物尺寸与DADM中相应组分的实验测量尺寸相匹配，可以得到界面能值。本文将解释使用dadm收集降水动力学和形态大数据集的机遇和挑战，以便在未来充分利用dadm的功能。这篇综述不仅介绍了迄今收集到的实验结果，而且还解释了未来可以从dadm收集到的大量数据集。将实验结果与模型预测进行迭代和整体整合的方法是促进对各种相变机制理解的一种非常有效的手段。通过这种方式，新的机制理解可以集成到更强大的模型中，以模拟在dadm中观察到的“异常”行为，特别是与工程合金中常见的相的顺序沉淀相关的异常行为。例子也显示了dadm的系统性质，因为它们在捕捉不寻常现象和新兴趋势时不断变化的成分区域，而这些在使用单个合金提供的离散成分的研究中很容易被遗漏。
This article highlights the capabilities of dual-anneal diffusion multiples (DADMs) in performing high-throughput and systematic studies of phase transformations and metastability. DADMs create wide ranges of solid solution compositions through elemental interdiffusion during a first anneal at a high temperature. After quenching to ambient temperature, each diffusion multiple can be cut into several slices, and each slice is further annealed individually at a lower/second temperature. Phase transformations take place in the supersaturated regions of the solid solution compositions that are formed during the first anneal, leading to various precipitates due to different driving force, interfacial energy, and other factors as composition varies across the regions in the sample. By subjecting the sliced diffusion multiples individually to different anneal durations and different second anneal temperatures, very large datasets can be collected on phase transformation kinetics and evolution of precipitate morphology as a function of composition, time, and temperature. Metastable phases and their transitions to more stable phases have been systematically observed in the Fe-Cr-Mo ternary system across a wide range of composition, temperature, and anneal time, thus providing a large amount of information on metastability of the phases. The solvi of the metastable and stable phases can be systematically collected for more reliable CALPHAD assessments of the Gibbs free energy of the metastable phases. By adjusting the interfacial energy value in simulations using models such as the Kampmann–Wagner Numerical (KWN) model and matching the simulated precipitate sizes at different compositions with experimentally measured sizes of the corresponding compositions in a DADM, the interfacial energy value can be obtained. Opportunities and challenges in using DADMs to collect large datasets on precipitation kinetics and morphology will be explained to enable full utilization of the capabilities of DADMs in the future. This review not only presents experimental results collected to date, but also explains the vast more datasets that can be collected from DADMs in the future. An approach that iteratively and holistically integrates experimental results with model predictions is advocated as a very effective means to advance the understanding of various phase transformation mechanisms. In this way, the new mechanistic understanding can be integrated to more robust models to simulate the “abnormal” behaviors that are observed in DADMs, especially related to sequential precipitations of phases that are common in engineering alloys. Examples are also shown to illustrate the systematic nature of DADMs as a result of their continuously varying composition regions in catching unusual phenomena and emergent trends that are easily missed during studies using discrete compositions afforded by individual alloys.
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