Tensile characterization and constitutive modeling of sintered nano-silver particles over a range of strain rates and temperatures

Journal Article (2022)
Author(s)

Cheng Qian (Fudan University)

Tijian Gu (Hohai University)

Ping Wang (Hohai University)

Wei Cai (Hohai University)

Xuejun Fan (Lamar University)

Guoqi Zhang (TU Delft - Electronic Components, Technology and Materials)

Jiajie Fan (Research Institute of Fudan University, Ningbo, Fudan University, TU Delft - Electronic Components, Technology and Materials, Lamar University)

Research Group
Electronic Components, Technology and Materials
DOI related publication
https://doi.org/10.1016/j.microrel.2022.114536
More Info
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Publication Year
2022
Language
English
Research Group
Electronic Components, Technology and Materials
Volume number
132
Pages (from-to)
1-8
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Abstract

Sintered nano-silver die-attach materials have been widely used in high-power electronics packaging because of their high thermal and electrical conductivities. In this study, we characterized the tensile properties of sintered nano-silver particles over a range of strain rates and temperatures, and established the constitutive models. First, 50 nm nano-silver particles were sintered at 275 °C for 50 min as test samples, and their tensile tests were conducted under a dynamic thermomechanical analyzer (DMA Q800) and an IBTC 300SL in-situ mechanical test system respectively with different strain rates and ambient temperatures. Then, both Anand and variable-order fractional models (VoFM) were adopted to analyze the obtained stress-strain data and we studied their fitting accuracy and applicability. The results showed that: (1) The Young's modulus of the sintered nano-silver particles decreased with increasing temperature. In addition, the tensile strengths declined under lower strain rates and higher temperature conditions; (2) both the Anand model and VoFM characterized the tensile stress-strain properties of the sintered nano-silver material well. Compared to the Anand model, the VoFM utilized a simpler formula with fewer parameters and higher precision.

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