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A time dependent damage indicator model for Sn3.5Ag solder layer in power electronic module

A time dependent damage indicator model for Sn3.5Ag solder layer in power electronic module

Rajaguru, Pushparajah ORCID: 0000-0002-6041-0517, Lu, Hua ORCID: 0000-0002-4392-6562 and Bailey, Christopher ORCID: 0000-0002-9438-3879 (2015) A time dependent damage indicator model for Sn3.5Ag solder layer in power electronic module. Microelectronics Reliability, 55 (11). pp. 2371-2381. ISSN 0026-2714 (doi:https://doi.org/10.1016/j.microrel.2015.07.047)

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Abstract

This paper reviewed the existing damage evolution models in the literature for solder layer in microelectronics and then proposed a two dimensional approximate time dependent damage indicator model for Sn3.5Ag type lead free solder layer in power electronic module application. The proposed time dependent damage indicator model is influenced by inelastic strain from microstructural evolution Anand viscoplastic model. The experimental evaluation of parameter values of the proposed damage indicator model was not feasible. Hence, we adopted a numerical approximation methodology to extract the parameter values of the damage model. A MatLab code was generated to simulate the stress versus strain curve of the solder layer during the thermal variance loading. A data from public domain for crack initiation and crack propagation of SnAg solder layer was also utilised to estimate the parameter values of damage indicator model. The developed approximate time dependent damage model was numerically compared with a damage model in the literature based on Coffin Manson and Paris law fatigue model for prediction accuracy.

Item Type: Article
Uncontrolled Keywords: Damage; Fatigue; Solder joint; Power electronic module
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG)
Last Modified: 20 May 2019 16:04
Selected for GREAT 2016: GREAT a
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 2
URI: http://gala.gre.ac.uk/id/eprint/15457

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