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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Microelectronics Rel...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Microelectronics Reliability
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Impact life prediction modeling of TFBGA packages under board level drop test

Authors: Tong Yan Tee; Hun Shen Ng; Chwee Teck Lim; Eric Pek; Zhaowei Zhong;

Impact life prediction modeling of TFBGA packages under board level drop test

Abstract

Abstract Reliability performance of IC packages during drop impact is critical, especially for handheld electronic products. Currently, there is no model that provides good correlation with experimental measurements of acceleration and impact life. In this paper, detailed drop tests and simulations are performed on TFBGA (thin-profile fine-pitch BGA) and VFBGA (very-thin-profile fine-pitch BGA) packages at board level using testing procedures developed in-house. The packages are susceptible to solder joint failures, induced by a combination of PCB bending and mechanical shock during impact. The critical solder ball is observed to occur at the outermost corner solder joint, and fails along the solder and PCB pad interface. Various testing parameters are studied experimentally and analytically, to understand the effects of drop height, drop orientation, number of PCB mounting screws to fixture, position of component on board, PCB bending, solder material, etc. Drop height, felt thickness, and contact conditions are used to fine-tune the shape and level of shock pulse required. Board level drop test can be better controlled, compared with system or product level test such as impact of mobile phone, which sometimes has rather unpredictable results due to higher complexity and variations in drop orientation. At the same time, dynamic simulation is performed to compare with experimental results. The model established has close values of peak acceleration and impact duration as measured in actual drop test. The failure mode and critical solder ball location predicted by modeling correlate well with testing. For the first time, an accurate life prediction model is proposed for board level drop test to estimate the number of drops to failure for a package. For the correlation cases studied, the maximum normal peeling stresses of critical solder joints correlate well with the mean impact lives measured during the drop test. The uncertainty of impact life prediction is within ±4 drops, for a typical test of 50 drops. With this new model, a failure-free state can be determined, and drop test performance of new package design can be quantified, and further enhanced through modeling. This quantitative approach is different from traditional qualitative modeling, as it provides both accurate relative and absolute impact life prediction. The relative performance of package may be different under board level drop test and thermal cycling test. Different design guidelines should be considered, depending on application and area of concern.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
164
Top 10%
Top 1%
Top 1%
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