当前位置: X-MOL 学术Glass Phys. Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Thermodynamic and Kinetic Studies of Glass-Forming Compositions in Ca‒Mg‒Cu Ternary Metallic Glasses
Glass Physics and Chemistry ( IF 0.7 ) Pub Date : 2023-12-01 , DOI: 10.1134/s1087659622600211
Akash A. Deshmukh , Anuj A. Khond , Jatin. G. Bhatt , Umesh A. Palikundwar

Abstract

Herein, we systematically studied the thermodynamic and kinetic aspects of glass forming compositions in CaMgCu alloy obtained by drawing the isocontour. Parameter \({{P}_{{{\text{HS}}}}}\) derived from the enthalpy of chemical mixing (ΔHchem) and normalized mismatch entropy ( \(\Delta {{S}_{\sigma }}/{{k}_{{\text{B}}}}\) ) is used as a glass-forming ability (GFA) parameter. Variation of \({{P}_{{{\text{HS}}}}}\) with reported and calculated compositions is evaluated. Linear relation of Cu with \({{P}_{{{\text{HS}}}}}\) is observed, whereas inverse relation of Ca and Mg is obtained. The linear variation of \({{P}_{{{\text{HS}}}}}\) with a supercooled liquid region (SCLR) ( \(\Delta {{T}_{{\text{x}}}}\) ) is studied. Inverse correlation of critical cooling rate ( \({{R}_{{\text{C}}}}\) ) with \({{P}_{{{\text{HS}}}}}\) is obtained. \({{R}_{{\text{C}}}}\) for predicted compositions is found close to that of reported compositions. Therefore, Cu should be added carefully with other elements to improve the GFA and reduce the cooling rate of Ca‒Mg‒Cu glassy. In this paper, an empirical correlation of \(\Delta {{T}_{{\text{x}}}}\) with \({{P}_{{{\text{HS}}}}}\) is proposed, and the modeled values are found to agree with the experimental values.



中文翻译:

Ca-Mg-Cu三元金属玻璃中玻璃形成成分的热力学和动力学研究

摘要

在此,我们系统地研究了通过绘制等值线获得的Ca - Mg - Cu 合金中玻璃形成成分的热力学和动力学方面。参数\({{P}_{{{\text{HS}}}}}\)源自化学混合的焓 (Δ H chem ) 和归一化失配熵 ( \(\Delta {{S}_{\ sigma }}/{{k}_{{\text{B}}}}\) )用作玻璃形成能力 (GFA) 参数。评估\({{P}_{{{\text{HS}}}}}\)与报告和计算成分的变化。Cu 与\({{P}_{{{\text{HS}}}}}\)呈线性关系,而 Ca 和 Mg 则呈反比关系。\({{P}_{{{\text{HS}}}}}\)与过冷液体区域 (SCLR)的线性变化( \(\Delta {{T}_{{\text{x} }}}\) ) 进行了研究。临界冷却速率 ( \({{R}_{{\text{C}}}}\)\({{P}_{{{\text{HS}}}}}\)的逆相关性为获得。预测成分的\({{R}_{{\text{C}}}}\)与报告的成分接近。因此,应仔细添加Cu与其他元素,以提高GFA并降低Ca-Mg-Cu玻璃体的冷却速率。在本文中,\(\Delta {{T}_{{\text{x}}}}\)\({{P}_{{{\text{HS}}}}}\的经验相关性提出,并且发现模型值与实验值一致。

更新日期:2023-12-01
down
wechat
bug