TY - JOUR
T1 - Life prediction methodology of system-in-package based on physics of failure
AU - Fu, Guicui
AU - Su, Yutai
AU - Guo, Wendi
AU - Wan, Bo
AU - Zhang, Zhongqing
AU - Wang, Ye
N1 - Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/9
Y1 - 2018/9
N2 - With the dramatic development of microelectronics technology, System-in-Package (SiP) becomes a brand-new direction for the More than Moore's law. In order to satisfy the demand of small-size, multi-function and high-performance, complex structures and variable materials are applied in SiPs, which introduce many reliability problems. To implement reliability qualification and health assessment, a life prediction methodology of SiP based on physics-of-failure (PoF) is studied in conjunction with simplified life cycle profile. In this paper, typical structures of SiPs, such as dies, components, interconnects are evaluated. And related PoF mechanisms, such as time dependent dielectric breakdown, electro-migration, die attach fatigue, thermal cyclic fatigue and etc., are considered. The inputs of the methodology contain hardware information and lifecycle profile. The hardware information of SiPs includes materials types and structures size. Lifecycle profile provides environmental conditions that the SiPs should experience. Based on these inputs, thermal distributions and stress-strain distributions of the SiP are analyzed by finite element analysis (FEA) tools. With the utilization of PoF models, lifetime matrix of the SiP is obtained. The output of the methodology is the lifetime matrix to predict lifetime of the SiP. Finally, a case study is done to guide engineering applications.
AB - With the dramatic development of microelectronics technology, System-in-Package (SiP) becomes a brand-new direction for the More than Moore's law. In order to satisfy the demand of small-size, multi-function and high-performance, complex structures and variable materials are applied in SiPs, which introduce many reliability problems. To implement reliability qualification and health assessment, a life prediction methodology of SiP based on physics-of-failure (PoF) is studied in conjunction with simplified life cycle profile. In this paper, typical structures of SiPs, such as dies, components, interconnects are evaluated. And related PoF mechanisms, such as time dependent dielectric breakdown, electro-migration, die attach fatigue, thermal cyclic fatigue and etc., are considered. The inputs of the methodology contain hardware information and lifecycle profile. The hardware information of SiPs includes materials types and structures size. Lifecycle profile provides environmental conditions that the SiPs should experience. Based on these inputs, thermal distributions and stress-strain distributions of the SiP are analyzed by finite element analysis (FEA) tools. With the utilization of PoF models, lifetime matrix of the SiP is obtained. The output of the methodology is the lifetime matrix to predict lifetime of the SiP. Finally, a case study is done to guide engineering applications.
KW - Competing failure
KW - Life prediction
KW - Physics of failure
KW - System in package
UR - http://www.scopus.com/inward/record.url?scp=85049420077&partnerID=8YFLogxK
U2 - 10.1016/j.microrel.2018.06.119
DO - 10.1016/j.microrel.2018.06.119
M3 - Journal article
AN - SCOPUS:85049420077
SN - 0026-2714
VL - 88-90
SP - 173
EP - 178
JO - Microelectronics Reliability
JF - Microelectronics Reliability
ER -