Prediction of Ternary Liquidus Temperatures by Statistical Modeling of Binary and Ternary Ag?Al?Sn?Zn Systems
Prediction of Ternary Liquidus Temperatures by Statistical Modeling of Binary and Ternary Ag?Al?Sn?Zn Systems
复制标题
通过二元和三元 Ag?Al?Sn?Zn 体系统计模型预测三元液相线温度
DOI：
10.1021/acsomega.7b00784
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发表时间：
2017
期刊：
影响因子：
4.1
通讯作者：
Tadanaga Kiyoharu
中科院分区：
文献类型：
--
作者：
Miura Akira;Hokimoto Tsukasa;Nagao Masanori;Yanase Takashi;Shimada Toshihiro;Tadanaga Kiyoharu
采用统计建模的方法分析了Ag-Al-Sn-Zn系六个二元相和四个三元相的液相线温度关系。从宏观和微观两个角度提出了四种预测Ag-Al-Sn-Zn合金液相线温度变化的统计模型。插值测试的结果，以评估三元液相线温度的预测精度表明，多元回归模型的基础上的二元液相线温度，交互式二元液相线温度，和产品的原子比被认为是最有效的四个模型。数值计算表明，利用相邻三元系的模型可以进一步提高Ag-Al-Sn-Zn局部三元系液相线温度的预测精度。最后，讨论了在我们考虑的统计框架的基础上提取元素的总趋势和异常组合来预测液相线温度的可能性。
The relationship of liquidus temperatures among six binary and four ternary phases in a Ag–Al–Sn–Zn system was analyzed by means of statistical modeling. Four statistical models to predict changes in the liquidus temperatures in Ag–Al–Sn–Zn were proposed on the basis of different hypotheses derived from macroscopic and microscopic standpoints. The results of interpolation tests to evaluate the prediction accuracies of the ternary liquidus temperatures suggested that the multivariate regression model based on binary liquidus temperatures, interactive binary liquidus temperatures, and products of atomic ratios was found to be the most effective among the four models. It was numerically shown that the prediction accuracies of the liquidus temperatures in local ternary systems of Ag–Al–Sn–Zn can be improved further by using the models identified in their neighboring systems. Finally, the possibility to extract the general trend and the abnormal combination of elements for the prediction of liquidus temperatures was discussed on the basis of the statistical framework we considered.