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Modeling the diffusion of solid copper into liquid solder alloys

Modeling the diffusion of solid copper into liquid solder alloys

Rizvi, M.J., Lu, Hua and Bailey, Christopher (2009) Modeling the diffusion of solid copper into liquid solder alloys. Thin Solid Films, 517 (5). pp. 1686-1689. ISSN 0040-6090 (doi:https://doi.org/10.1016/j.tsf.2008.09.105)

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Abstract

During the soldering process, the copper atoms diffuse into liquid solders. The diffusion process determines integrity and the reworking possibility of a solder joint. In order to capture the diffusion scenarios of solid copper into liquid Sn–Pb and Sn–Cu solders, a computer modeling has been performed for 10 s. An analytical model has also been proposed for calculating the diffusion coefficient of copper into liquid solders. It is found that the diffusion coefficient for Sn–Pb solder is 2.74 × 10− 10 m2/s and for Sn–Cu solder is 6.44 × 10−9 m2/s. The modeling results reveal that the diffusion coefficient is one of the major factors that govern the rate at which solid Cu dissolve in the molten solder. The predicted dissolved amounts of copper into solders have been validated with the help of scanning electron microscopic analysis.

Item Type: Article
Additional Information: [1] Available online 15 October 2008.
Uncontrolled Keywords: modeling, copper, diffusion, solder
Subjects: T Technology > TN Mining engineering. Metallurgy
Q Science > QA Mathematics
Q Science > QC Physics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:04
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1508

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