Y. Ivanov, C. M. Meylan, N. Panagiotopoulos, K. Georgarakis, A. Greer
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引用次数: 15
Abstract
Abstract The composition Au49Ag5.5Pd2.3Cu26.9Si16.3 (at.%) is of interest as the basis for the development of gold-based bulk metallic glasses for application in jewellery. In-situ heating in transmission electron microscopy (TEM) and differential scanning calorimetry (DSC, both conventional and fast) are used to obtain a comprehensive characterization of the decomposition on heating a melt-spun glass of this composition. Linking TEM with DSC over a range of heating rates 0.083‒2000 K s‒1, allows the sample temperature in the TEM heating stage to be calibrated. On heating up to melting, the glass decomposes in up to four stages: (1) complete transformation to single-phase nanocrystalline (Au,Cu)7Si; (2) grain growth of this phase; (3) precipitation of (Pd,Ag)Si, reducing the supersaturation of silicon in the (Au,Cu)7Si matrix; (4) with the precipitate phase remaining stable, decomposition of the matrix to a mixture of (Au,Ag)8Cu2, AuCu and Cu3Au phases. At all stages, grain diameters remain sub-micrometre; some of the stable nanocrystalline microstructures may themselves be of interest for applications. The characterization of the decomposition can assist in the optimization of the glass composition to improve tarnish-resistance, while retaining adequate glass-forming ability, formability in thermoplastic processing, and resistance to crystallization. For materials in general, the close correlation of in-situ TEM and DSC results should find wide use in characterizing complex transformation sequences.
成分Au49Ag5.5Pd2.3Cu26.9Si16.3 (at.%)是开发用于珠宝的金基大块金属玻璃的基础。采用原位加热的透射电子显微镜(TEM)和差示扫描量热法(DSC,常规和快速)对该成分的熔融纺丝玻璃加热时的分解进行了全面表征。在0.083-2000 K s-1的加热速率范围内,将TEM与DSC连接起来,可以校准TEM加热阶段的样品温度。从加热到熔化,玻璃分解分为四个阶段:(1)完全转变为单相纳米晶(Au,Cu)7Si;(2)该相晶粒长大;(3) (Pd,Ag)Si的析出,降低了(Au,Cu)7Si基体中硅的过饱和;(4)在沉淀相保持稳定的情况下,基体分解为(Au,Ag)8Cu2、AuCu和Cu3Au相的混合物。在所有阶段,晶粒直径都保持在亚微米级;一些稳定的纳米晶微观结构本身可能具有应用价值。分解的表征有助于玻璃组合物的优化,以提高抗失光泽性,同时保持足够的玻璃成型能力、热塑性加工中的成型性和抗结晶性。对于一般材料来说,原位TEM和DSC结果的密切相关性应该在表征复杂转变序列中得到广泛应用。