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Thermo-elasto-plastic phase-field modelling of mechanical behaviours of sintered nano-silver with randomly distributed micro-pores
journal contribution
posted on 2021-03-01, 12:14 authored by Yutai Su, Guicui Fu, Changqing Liu, Kun Zhang, Liguo Zhao, Canyu Liu, Allan Liu, Jianan SongNano-silver paste is an emerging lead-free bonding material in power electronics, and has excellent mechanical properties,
thermal conductivity and long-term reliability. However, it is extremely challenging to model the mechanical and failure
behaviours of sintered nano-silver paste due to its random micro-porous structures and the coupled thermomechanical loading
conditions. In this study, a novel computational framework was proposed to generate the random micro-porous structures and
simulate their effects on mechanical properties and fracture behaviour based on the one-cut gaussian random field model and
the thermo-elasto-plastic phase-field model. The elastic modulus, ultimate tensile strength and strain to failure are computed
statistically, showing good agreement with the experimental results. Further, the framework was applied to model the fracture
of sintered nano-silver paste under thermal cyclic conditions, demonstrating the formation of distinctive crack patterns and
complex crack networks. The cracking behaviours observed in the experiments and simulations are remarkably similar to each
other. The framework was implemented within Abaqus via a combination of subroutines and Python scripts, automating the
process of model generation and subsequent computation. This study provides an efficient and reliable approach to simulate
the mechanical and failure behaviours of sintered nano-silver paste with random micro-porous structures.
Funding
China Scholarship Council (CSC) (Reference No. Q5 201906020125)
Underpinning Power Electronics 2017: Heterogeneous Integration
Engineering and Physical Sciences Research Council
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Find out more...History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
Computer Methods in Applied Mechanics and EngineeringVolume
378Publisher
ElsevierVersion
- AM (Accepted Manuscript)
Rights holder
© ElsevierPublisher statement
This paper was accepted for publication in the journal Computer Methods in Applied Mechanics and Engineering and the definitive published version is available at https://doi.org/10.1016/j.cma.2021.113729Acceptance date
2021-02-09Publication date
2021-03-01Copyright date
2021ISSN
0045-7825Publisher version
Language
- en