RESEARCH PAPER
A fatigue lifetime prediction model applicable to porous sintered Ag nanoparticles
1
School of Reliability and Systems Engineering, Beihang University, China
2
QianYuan National Laboratory, China
3
Chongqing Innovation Center, Northwestern Polytechnical University, China
Submission date: 2024-10-31
Final revision date: 2024-12-10
Acceptance date: 2025-02-14
Online publication date: 2025-02-22
Publication date: 2025-02-22
Corresponding author
Bo Wan
School of Reliability and Systems Engineering, Beihang University, Haidian, 100191, Beijing, China
School of Reliability and Systems Engineering, Beihang University, Haidian, 100191, Beijing, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(3):201429
HIGHLIGHTS
- A new fatigue lifetime prediction model is developed for sintered Ag nanoparticles.
- This model considers damage slip accumulation, stiffness and strength fatigue degradation.
- A low-cost method for estimating key model parameters of prediction model is proposed.
- This model provides a solution that balances model complexity and engineering convenience.
- This paper provides a novel perspective for the reliability analysis of porous structures.
KEYWORDS
TOPICS
ABSTRACT
Sintered silver nanoparticles (AgNPs) are widely used in the electronic packaging of high-power chips, yet their random internal porous structure is prone to fatigue degradation. In this study, a new cyclic cohesive zone model (CCZM) is proposed for predicting the fatigue lifetime of sintered AgNPs. This model not only considers the cumulative effect of damage slip during cyclic loading but also realizes simultaneous stiffness and strength fatigue degradation under low-stress loading. In addition, to improve the usability of the model, a low-cost estimation method of the model’s key parameters and the corresponding VUMAT user subroutines are proposed. Based on this, cyclic tensile tests on Sintered specimens confirm the occurrence of damage slip within the porous AgNPs structure. The predictive performance of the model and the sensitivity of its characteristic parameters are also thoroughly analyzed and discussed. The new CCZM provides a solution that balances modeling complexity and engineering convenience for the reliability assessment of porous structures.
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