An integrated process modeling methodology and module for sequential multilayered substrate fabrication using a coupled cure-thermal-stress analysis approach

This paper presents a comprehensive methodology to model the static temperature-humidity (TH) aging test (85 C/85%RH over 1000 h) of flip chip on flex interconnections with nonconductive adhesives (NCAs). NCAs, being a special form of conductive adhesives, are chosen, as they allow bringing the pitch further down. The methodology combines experimental techniques for material characterization, finite element modeling (FEM), and model validation. A NCA has been characterized using several techniques. The thermomechanical properties and the moisture absorption properties were obtained for the NCA. A temperature dependent viscoelastic constitutive model was also obtained for the NCA. The viscoelastic model was defined by the Prony series expansion. The shift factor was approximated by the Williams-Landel-Ferry (WLF) equation. Finite element modeling has been performed to analyze the flip chip interconnects on flex with the NCA under process condition and reliability aging conditions. The viscoelastic constitutive relation has been used to model the NCA in aging modeling. An integrated process-aging modeling methodology has been developed to combine the thermo-mechanical stress and hygro-mechanical stress, followed by stress relaxation analysis. To verify the finite element models, static TH aging tests (85 C/85%RH) were also performed. The contact resistance was monitored with high measuring resolution during the accelerated test. The simulation results are in good agreement with the experimental results. The approach developed in this paper can be used to provide guidelines with respect to adhesive material properties, assembly process parameters to achieve good reliability performance.Index Terms-Finite element modeling (FEM), flex substrate, flip chip, moisture absorption properties, nonconductive adhesives, static temperature-humidity (TH) aging test, viscoelasticity.

Section: Materials Characterization Of the Ncamentioning

confidence: 99%

Integrated Process-Aging Modeling Methodology for Flip Chip on Flex Interconnections With Nonconductive Adhesives

Zhang

Wong

Rajoo

et al. 2008

“…20 shows some of the experimental data used to validate the predictive models. For more details on the models, experimental reliability tests, and material characterization techniques, please refer to [52]- [61].…”

Section: Mixed-signal Sop Reliabilitymentioning

confidence: 99%

The SOP for Miniaturized, Mixed-Signal Computing, Communication, and Consumer Systems of the Next Decade

Tummala

Swaminathan

Tentzeris

et al. 2004

135

Abstract-From cell phones to biomedical systems, modern life is inexorably dependent on the complex convergence of technologies into stand-alone products designed to provide a complete solution in small, highly integrated systems with computing, communication, biomedical and consumer functions. The concept of system-on-package (SOP) originated in the mid-1990s at the NSF-funded Packaging Research Center at the Georgia Institute of Technology. This can be thought of as a conceptual paradigm in which the package, and not the bulky board, as the system and the package provides all the system functions in one single module, not as an assemblage of discrete components to be connected together, but as a continuous merging of various integrated thin film technologies in a small package. In the SOP concept, this is accomplished by codesign and fabrication of digital, optical, RF and sensor functions in both IC and the package, thus distinguishing between what function is accomplished best at IC level and at package level. In this paradigm, IC's are viewed as being best for transistor density while the package is viewed as being best for RF, optical and certain digital-function integration. The SOP concept is demonstrated for a conceptual broad-band system called an intelligent network communicator (INC). Its testbed acts as both a leading-edge research and teaching platform in which students, faculty, research scientists, and member companies evaluate the validity of SOP technology from design to fabrication to integration, test, cost and reliability. The testbed explores optical bit stream switching up to 100 GHz, digital signals up to 5-20 GHz, decoupling capacitor integration concepts to reduce simultaneous switching noise of power beyond 100 W/chip, design, modeling and fabrication of embedded components for RF, microwave, and millimeter wave applications up to 60 GHz. This article reviews a number of SOP technologies which have been developed and integrated into SOP test bed. These are 1) convergent SOP-based INC system design and architecture, 2) digital SOP and its fabrication for signal and power integrity, 3) optical SOP fabrication with embedded actives and passives, 4) RF SOP for high Q-embedded inductors, filters and other RF components, 5) mixed signal electrical test, 6) mixed signal reliability, and 7) demonstration of SOP by INC prototype system.

“…3. A general-purpose integrated process modeling methodology and module has been developed [4] to monitor the evolution of stresses and warpage during the sequential fabrication of the multilayered SOP substrate. This methodology incorporates some fundamental aspects involved in the curing of dielectric polymers [5], [6] such as the curing mechanism, the cure-induced shrinkage, structure-property relationships, and cure process optimization.…”

Section: ) Digital Function Reliability: Upfront Process Optimizatiomentioning

confidence: 99%

System-Level Reliability Assessment of Mixed-Signal Convergent Microsystems

Pucha

Hegde

Damani

et al. 2004

Self Cite

The next-generation convergent microsystems, based on system-on-package (SOP) technology, require up-front system-level design-for-reliability approaches and appropriate reliability assessment methodologies to guarantee the reliability of digital, optical, and radio frequency (RF) functions, as well as their interfaces. Systems approach to reliability requires the development of: i) physics-based reliability models for various failure mechanisms associated with digital, optical, and RF Functions, and their interfaces in the system; ii) design optimization models for the selection of suitable materials and processing conditions for reliability, as well as functionality; and iii) system-level reliability models understanding the component and functional interaction. This paper presents the reliability assessment of digital, optical, and RF functions in SOP-based microsystems. Upfront physics-based design-for-reliability models for various functional failure mechanisms are presented to evaluate various design options and material selection even before the prototypes are made. Advanced modeling methodologies and algorithms to accommodate material length scale effects due to enhanced system integration and miniaturization are presented. System-level mixed-signal reliability is discussed thorough system-level reliability metrics relating component-level failure mechanisms to system-level signal integrity, as well as statistical aspects.