Application of an optimized geometrical model in predicting the physicochemical properties of Sn-based alloys. (March 2022)

• Record Type: Journal Article
• Authors: Shi, Lei; Hu, Wenxin; Li, Chao; Yu, Zhigang; Zhang, Jieyu; Wu, Guangxin
• Is Part Of: Calphad. Volume 76(2022)
• Publication Date: 2022-03
• Subjects: Optimized geometrical model -- Representative regions -- Gaussian distribution density function -- Physicochemical properties -- Sn-based alloys; Phase diagrams -- Data processing -- Periodicals; Thermochemistry -- Data processing -- Periodicals; Diagrammes de phases -- Informatique -- Périodiques; Thermochimie -- Informatique -- Périodiques; Thermodynamica; Electronic journals; 541.363
• DOI: 10.1016/j.calphad.2021.102385
• Languages: English
• ISSNs: 0364-5916

Abstract

Abstract: Geometrical model has been widely used in the property prediction of melts, where three "representative points" on binary systems are selected for the calculation of ternary systems. In this paper, an optimized method with "representative regions" of binary systems is first proposed for the calculation based on geometrical model. The "weight probability" of all the points within the "representative region" is quantified by the Gaussian distribution density function. The optimized geometrical model (OGM) is verified in predicting the physicochemical properties of Sn-based ternary alloys, and good accordance was obtained between the calculated results and experimental values.