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An approximate numerical method for the prediction of plastic strain in layered structures

An approximate numerical method for the prediction of plastic strain in layered structures

Nwanoro, Kenneth C., Lu, Hua ORCID logoORCID: https://orcid.org/0000-0002-4392-6562, Yin, Chunyan ORCID logoORCID: https://orcid.org/0000-0003-0298-0420 and Bailey, Christopher ORCID logoORCID: https://orcid.org/0000-0002-9438-3879 (2018) An approximate numerical method for the prediction of plastic strain in layered structures. In: 2018 7th Electronic System-Integration Technology Conference (ESTC 2018). IEEE, pp. 181-187. ISBN 978-1538668153

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Abstract

A simple and fast approximate numerical method has been developed using the total deformation theory of plasticity and strength of material relationship to predict stress and strain in layered structures that are common in power electronics and other electronics components. As an application example, the method has been used to estimate the fatigue life of wire bonds in IGBT modules. The method has been compared with Finite Element Analysis method and the results show that the predicted trends are similar for a range of design and loading parameters. Therefore, the approximate method can be used for design optimization of layered structures.

Item Type: Conference Proceedings
Title of Proceedings: 2018 7th Electronic System-Integration Technology Conference (ESTC 2018)
Additional Information: Presented at 2018 7th Electronic System-Integration Technology Conference (ESTC), Dresden, Germany, 18-21 September 2018.
Uncontrolled Keywords: Numerical methods, layered structures, plastic strain.
Subjects: Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG)
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:06
URI: http://gala.gre.ac.uk/id/eprint/21962

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