Skip navigation

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: 0000-0002-4392-6562, Yin, Chunyan ORCID: 0000-0003-0298-0420 and Bailey, Christopher ORCID: 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

[img] PDF (Author Submitted Manuscript)
21962 NWANORO_Approximate_Numerical_Method_for_the_Prediction_of_Plastic_Strain_2018.pdf - Submitted Version
Restricted to Registered users only

Download (396kB) | Request a copy

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 / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA)
Faculty of Liberal Arts & Sciences > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Mechanics & Reliability Group (CMRG)
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 15 Nov 2019 15:52
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/21962

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics