Novel reliability assessment concept based on an accelerated de-rated strength approach

The introduction of new materials or technologies can have an enormous impact on the Time to Market (TTM) of new products. Preferably, the performance of new materials or technologies is known before these are designed into a product. This paper presents a reliability assessment approach which has b...

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Published in2013 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE) pp. 1 - 5
Main Authors Veninga, E. P., Kregting, R., van der Waal, A., Gielen, A. W. J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Abstracts
Load modeling
Monitoring
Reliability
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Summary:The introduction of new materials or technologies can have an enormous impact on the Time to Market (TTM) of new products. Preferably, the performance of new materials or technologies is known before these are designed into a product. This paper presents a reliability assessment approach which has been developed with the aim to reduce the so called Time to Technology (TTT). The method which is based on an accelerated de-rated strength approach has been expanded to a concept which could also include health monitoring and prognostics during lifetime. In this part of the work a combination of modelling and statistical techniques was used to explore the feasibility and potential of the concept. Ball Grid Array (BGA) designs were used as a vehicle with solder fatigue as the selected failure mechanism. Finite Element Modelling (FEM) together with Design of Experiments (DoE) revealed that the (package) substrate thickness, stand-off, (package) substrate size and the final solder ball diameter are the statistical significant factors with respect to fatigue life of SnAgCu BGA balls. Simplified linear models obtained from regression analyses were used to design de-rated strength variants and estimate test times. Simulations using a strain based lifetime model of Engelmaier together with a Monte Carlo method were used to generate lifetime distributions based on induced variations. A statistical analysis showed a significant difference in lifetime performance between the simulated de-rated strength designs.
ISBN:9781467361385
1467361380
DOI:10.1109/EuroSimE.2013.6529983