Modeling and Optimization of Thermal Cycling Performance to Reduce Ratcheting-Induced Passivation Cracking in High-Voltage Power Modules

钝化 材料科学 温度循环 有限元法 复合材料 开裂 压力(语言学) 图层(电子) 结构工程 冶金 热的 热力学 语言学 哲学 物理 工程类
作者
Liangbiao Chen,Yong Liu
标识
DOI:10.1109/ectc51529.2024.00043
摘要

Passivation thin film overlaying a metal layer is a typical structure in power electronics. When a package is subject to thermal cycling conditions, plastic strains could accumulate in the metals after each cycle, eventually causing stress relaxation and collapse of metals. The overlaying passivation could crack because of the metal failure, which is a phenomenon known as metal ratcheting induced cracking. In this work, three-dimensional finite element analysis is used to investigate the ratcheting risk of a power electronic package. To select a proper criterion, we first studied the effect of a buffer layer that is added between passivation and epoxy mold compound to lower the interface stress and thus metal ratcheting. While the buffer layer does not reduce the passivation stress, it gives lower plastic strain in the metals based on the simulation. In addition, Cu thin film is found to produce higher passivation stress but much lower plastic strains than Al thin film. Therefore, the incremental plastic work per thermal cycle is selected as the criterion, with which we further optimized the package's performance in ANSYS® optiSLang. Sensitivity analysis was run using a total of five parameters and 100 DoEs. An approximation model with high accuracy is obtained from the sensitivity analysis. Optimization is then performed upon the model without running the actual finite element simulation. An optimized solution is obtained and validated with finite element analysis. The best design indicates that larger buffer layer thickness and greater metal-edge-to-die distance would give a lower risk of metal ratcheting, which is consistent with the internal test data.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无奈的酒窝关注了科研通微信公众号
刚刚
毛毛完成签到,获得积分10
刚刚
正在完成签到,获得积分10
1秒前
1秒前
充电宝应助JR采纳,获得10
2秒前
2秒前
cc完成签到,获得积分20
2秒前
李爱国应助111采纳,获得10
2秒前
jy发布了新的文献求助10
2秒前
好好完成签到 ,获得积分10
3秒前
阿希塔完成签到,获得积分10
3秒前
JamesPei应助看看采纳,获得10
3秒前
5秒前
5秒前
卢健辉发布了新的文献求助10
5秒前
6秒前
cookie完成签到,获得积分10
6秒前
JMZ完成签到 ,获得积分10
8秒前
英姑应助星星采纳,获得10
8秒前
spurs17发布了新的文献求助30
9秒前
LH完成签到,获得积分10
9秒前
CodeCraft应助Island采纳,获得10
10秒前
annis完成签到,获得积分10
10秒前
小黄应助asir_xw采纳,获得10
11秒前
认真的rain完成签到,获得积分10
11秒前
糊涂的小伙完成签到,获得积分10
12秒前
芒果豆豆完成签到,获得积分10
12秒前
赎罪完成签到 ,获得积分10
13秒前
卢健辉完成签到,获得积分10
13秒前
13秒前
14秒前
负责的中道完成签到,获得积分10
15秒前
dyh6802发布了新的文献求助10
15秒前
儒雅八宝粥完成签到 ,获得积分10
15秒前
深情安青应助科研小菜鸟采纳,获得10
16秒前
姜灭绝完成签到,获得积分10
16秒前
三七二一完成签到,获得积分10
16秒前
17秒前
大方的寒烟完成签到,获得积分10
18秒前
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808