材料科学
烧结
温度循环
复合材料
焊接
多孔性
抗剪强度(土壤)
剪切(地质)
热导率
大气温度范围
热的
环境科学
物理
气象学
土壤科学
土壤水分
作者
Jingru Dai,Jian Feng Li,Pearl Agyakwa,Martin Corfield,C. Mark Johnson
出处
期刊:IEEE Transactions on Device and Materials Reliability
[Institute of Electrical and Electronics Engineers]
日期:2021-12-01
卷期号:21 (4): 536-543
被引量:5
标识
DOI:10.1109/tdmr.2021.3118323
摘要
This study investigates the power cycling reliability of nanosilver sintered joints formed by a time-reduced sintering process, designed for use on a die bonder. A range of sintering parameters, reflecting different levels of manufacturability, were used to produce sintered joints in respect of shear strength and porosity, within a process cycle time of a few seconds. The reliability of the sintered attachments were evaluated against Pb5Sn solder joints under constant temperature swing power cycling conditions over the range 50 to 200 °C. The thermal performance and microstructural changes of the sintered joints were monitored and evaluated non-destructively at regular intervals using transient thermal impedance and X-ray computed tomography. The results show that sintered joints with higher shear strengths (>50 MPa) and lower porosities (<25 %) tend to maintain their thermal performance up to ~100k power cycles before gradual degradation occurs. Sintered joints with intermediate shear strengths (20 to 40 MPa) and with corresponding analogous porosities (35 to 51 %) also demonstrated comparable power cycling behavior; exhibiting a progressive decrease in effective thermal conductivity with increasing cycles. The evaluated lifetime of sintered joints with the highest shear strengths were found to be at least double those for the lower shear strength joints, and up to fourteen times those of a Pb5Sn solder die attachment. Even the most porous sintered joints exhibited lifetimes appreciably longer than a Pb5Sn die attachment. Degradation in thermal resistance was seen to correlate with observed microstructural changes, with a dependence on initial sintering parameters.
科研通智能强力驱动
Strongly Powered by AbleSci AI