Chip Package Interaction(CPI) risk assessment on 28nm Back End of Line(BEOL) stack of a large I/O chip using compact 3D FEA modeling

Chirag Shah, F. Mirza, C. Premachandran
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引用次数: 4

Abstract

Chip Package Interaction (CPI) is a widely recognized quality and reliability challenge for flip-chip packages due to the ultra low-K materials used within the silicon Back End of Line (BEOL). This paper discusses a predictive finite element model developed to address this challenge. Furthermore, for advanced flip-chip package models, it is challenging to have the entire C4 bump array within the model due to the extremely large pin count (I/O) fitted at a fine pitch within a large die. As an example, for CPU chips, it is not uncommon to have chip contain over 10,000 C4 bumps. Accounting for such large bump count with FEA models, makes the analyses not just computationally expensive but also often impossible. The proposed study will try to address these challenges by demonstrating a “compact” 3D modeling approach for 28nm chip stack. The effective properties developed for C4 joints will also be adjusted to account for Cu pillar joints. Lastly, the model has been validated with full bump array models that do not use effective properties to confirm the usefulness and scalability of this approach.
基于紧凑的三维有限元模型对大型I/O芯片28nm后端线(BEOL)堆栈的芯片封装交互(CPI)风险进行评估
由于在硅后端(BEOL)中使用的超低k材料,芯片封装相互作用(CPI)是一个广泛认可的倒装芯片封装的质量和可靠性挑战。本文讨论了为解决这一挑战而开发的预测有限元模型。此外,对于先进的倒装芯片封装模型,由于在大型芯片内的细间距内安装了非常大的引脚数(I/O),因此在模型内安装整个C4凸点阵列具有挑战性。例如,对于CPU芯片,包含超过10,000个C4凸起的芯片并不罕见。考虑到如此大的碰撞计数与有限元模型,使得分析不仅计算成本高,而且往往是不可能的。提出的研究将尝试通过展示28nm芯片堆栈的“紧凑”3D建模方法来解决这些挑战。针对C4节理开发的有效性能也将进行调整,以适应Cu柱节理。最后,用不使用有效属性的全碰撞阵列模型验证了该模型,以确认该方法的实用性和可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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