Multiple linear regression approach to predict tensile properties of Sn-Ag-Cu (SAC) alloys

Author(s)

Schon, Aline Ferreira ^[1] ; Castro, Nicolau Apoena ^[1] ; Barros, Andre dos Santos ^[2] ; Spinelli, Jose Eduardo ^[3] ; Garcia, Amauri ^[2] ; Cheung, Noe ^[2] ; Silva, Bismarck Luiz ^[1]

Affiliation

^[1] Univ Fed Rio Grande do Norte, Fed Univ Rio Grande Norte, Dept Mat Engn, BR-59078970 Natal, RN - Brazil

^[2] Univ Estadual Campinas, Dept Mfg & Mat Engn, BR-13083860 Campinas, SP - Brazil

^[3] Fed Univ Sao Carlos UFSCar, Dept Mat Engn, BR-13565905 Sao Carlos, SP - Brazil

• Document type: Journal article
• Source: Materials Letters; v. 304, DEC 1 2021.
• Web of Science Citations: 0

Abstract

In this study, a number of microstructural characteristics of SAC207 and SAC307 alloys were quantitatively extracted and utilized in a multiple linear regression (MLR) model. The MLR results well represent the ultimate tensile strength (sigma(u)) of both alloys, but not the elongation (delta) of the SAC207 alloy. The addition of the tertiary dendritic spacing considerably improved the MLR results for the SAC307 alloy. These findings, which are more consistent than those obtained by single linear regressions (SLR), might give technical supports in either regulating or improving tensile properties of solder alloys. (AU)

• FAPESP's process: 19/23673-7 - Evaluation of alloys for thermal interface contact and for additive manufacturing
• Grantee: José Eduardo Spinelli
• Support Opportunities: Regular Research Grants