The electronics industry has successfully transitioned from Sn/Pb to Pb free (LF) solder for computing and consumer electronics applications. However, there is no industry-wide standardized LF solder joint reliability model (neither empirical nor FEA-based) available for solder fatigue reliability assessment. A LF solder fatigue model has been proposed in this paper based on a 3-parameter modified Coffin-Manson approach. The proposed model showed best fit to the experimental data (17 pairs of temperature cycle test data) from different sources for multiple package types and sizes including various test conditions. The model fit to the experimental data was excellent and the error was less than 6%. This analysis showed that the LF acceleration factor (AF) model is not significantly different from the Sn/Pb model and proposed model provides best fit to experimental results.
IntroductionWhile the electronics industry has successfully completed the transition to Pb-free (LF) technology for computing and consumer electronics applications, there is still no standardized LF solder joint reliability model (neither empirical nor FEA-based) available for solder fatigue. Numerous studies have been published regarding the thermal cycling reliability of SnAgCu solder joints under accelerated test conditions [e.g., 1-5]. The acceleration factor (AF) models for LF are of particular interests to the electronics industry for the simple reason that the solder joint reliability in field power cycling conditions can be predicted in a simple yet accurate manner. Pan et al [6] first attempted to obtain an acceleration factor model using several thermal cycle profiles, in which the temperature range, maximum temperature and the cycle time or frequency were systematically varied. However, it has been shown in several studies [7,8] that this model prediction is not well correlated with experimental results. Studies by Salmela [8], and Zhang and Clech [7] evaluated several different types of AF models. Those AF models also include models based on the compact strain energy analysis and the finite element analysis. It showed that the FEA based models have limited success in predicting the AF factors, especially when test conditions and package types vary dramatically.In this paper, a LF acceleration factor model is proposed based on the Norris-Landzberg equation. A total of 17 pairs of experimental data suitable for acceleration factor computations, taken from Intel and industry published test data, were used to calibrate and support the model. These data