Numerical simulation of thick metal passivation stress, Part II: Minimizing stress using Response Surface Methodology

R. Sethu, David Kho, S. Kulkarni, H. U. Ha, K. Soon
{"title":"Numerical simulation of thick metal passivation stress, Part II: Minimizing stress using Response Surface Methodology","authors":"R. Sethu, David Kho, S. Kulkarni, H. U. Ha, K. Soon","doi":"10.1109/RSM.2017.8069140","DOIUrl":null,"url":null,"abstract":"In this two-part series of papers, the goal is to reduce thermal stress impact on thick metal passivation. In Part II (this paper), the relationship between passivation thickness and the thermal stress was established using Response Surface Methodology Design of Experiments (RSM DOe). Using RSM DOE, an optimum passivation thickness was determined and validated using the Finite Element Analysis (FEA) model used in Part I. The actual simulation results were close to the values predicted using statistical methods.","PeriodicalId":215909,"journal":{"name":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSM.2017.8069140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In this two-part series of papers, the goal is to reduce thermal stress impact on thick metal passivation. In Part II (this paper), the relationship between passivation thickness and the thermal stress was established using Response Surface Methodology Design of Experiments (RSM DOe). Using RSM DOE, an optimum passivation thickness was determined and validated using the Finite Element Analysis (FEA) model used in Part I. The actual simulation results were close to the values predicted using statistical methods.
厚金属钝化应力的数值模拟,第二部分:使用响应面方法最小化应力
在这两部分的系列论文中,目标是减少热应力对厚金属钝化的影响。第二部分采用响应面法设计实验(RSM DOe)建立了钝化厚度与热应力之间的关系。利用RSM DOE,确定了最佳钝化厚度,并利用第一部分中使用的有限元分析(FEA)模型进行了验证,实际仿真结果与统计方法预测值接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信