The Cu–Te system: Phase relations determination and thermodynamic assessment

The Cu–Te system: Phase relations determination and thermodynamic assessment
复制标题

Cu–Te 系统:相关系测定和热力学评估

DOI:
10.1016/j.jallcom.2020.157373
复制
发表时间:
2021-02
影响因子:
6.2
通讯作者:
Ye Tianfan
Ye Tianfan
中科院分区:
材料科学2区
文献类型:
--
作者:
Huang D;an;Han Rumo;Wang Yao;Ye Tianfan

文献摘要

参考文献

相似文献

由于 Cu2Te 超离子导体在热电应用中的存在,Cu-Te 二元体系引起了人们的极大兴趣。通过实验和热力学模型研究了相平衡。基于对现有相图和热力学数据的关键文献回顾,制备了 16 种关键合金,并使用 X 射线衍射 (XRD) 和电子探针微分析 (EPMA) 分析了铸态和退火状态的相关系。此外,利用同步差示扫描量热和热重(DSC-TG)分析技术来确认不变反应的温度,以及金属间化合物 Cu2Te、Cu4Te3 和 CuTe 中的多晶型转变。 Cu2Te 有五种变体。然后在评估的文献数据和当前实验结果的支持下对 Cu-Te 体系进行热力学优化。由于化学短程有序,液相由关联模型描述,并且 Cu2Te、Cu4Te3 和 CuTe 在本优化中被视为化学计量化合物。最终构造出一组自洽的热力学参数。目前的计算与现有的实验数据非常吻合。
The Cu–Te binary system is of a significant interest due to the existence of Cu2Te superionic conductor in the thermoelectric application. The phase equilibria have been investigated by means of experiment and thermodynamic modeling. Based on the critical literature review on the available phase diagram and thermodynamic data, 16 crucial alloys are prepared and the phase relations in the as-cast and annealed status analyzed using X–ray diffraction (XRD) and electron probe microanalysis (EPMA). Moreover, a simultaneous differential scanning calorimetric and thermogravimetric (DSC–TG) analyses technique is utilized to confirm temperatures of invariant reactions, as well as the polymorphic transitions in the intermetallic compounds Cu2Te, Cu4Te3and CuTe. There are five variants in the Cu2Te. A thermodynamic optimization of the Cu–Te system is then conducted with the support of the assessed literature data and the present experimental results. The liquid phase is described by the associate model due to the chemical short–range order and Cu2Te, Cu4Te3and CuTe are treated as stoichiometric compounds in the present optimization. A set of self–consistent thermodynamic parameters are finally constructed. The present calculations are in good agreement with the available experimental data.
DOI: 10.1021/acs.jpcc.6b04785
发表时间: 2016-07
影响因子: 3.7
作者:
A. Sirusi;S. Ballikaya;J. Chen;C. Uher;J. H. Ross
通讯作者: A. Sirusi;S. Ballikaya;J. Chen;C. Uher;J. H. Ross
DOI: 10.1016/0025-5408(93)90036-d
发表时间: 1993-09
影响因子: 5.4
作者:
H. Ghoumari-Boûanani;G. Brun;B. Liautard;J. Tedenac
通讯作者: H. Ghoumari-Boûanani;G. Brun;B. Liautard;J. Tedenac
DOI: 10.1149/1.2428700
发表时间: 1958
期刊: 2013 2nd IAPR Asian Conference on Pattern Recognition
影响因子: --
作者:
M. Hansen;K. Anderko
通讯作者: M. Hansen;K. Anderko
DOI: 10.1016/j.calphad.2020.101738
发表时间: 2020-03
影响因子: 2.4
作者:
K. Xu;L. Chen;K. Chang;P. Wan;M. Li;Z. Deng;F. Huang;Q. Huang
通讯作者: Q. Huang
DOI: 10.1063/1.1743592
发表时间: 1957-06
影响因子: 4.4
作者:
G. Lorenz;C. Wagner
通讯作者: G. Lorenz;C. Wagner