TY - GEN
T1 - Crack evolution and rapid life assessment for lead free solder joints
AU - Qasaimeh, Awni
AU - Lu, Susan
AU - Borgesen, Peter
PY - 2011
Y1 - 2011
N2 - This paper reports on the crack behavior and microstructure evolution of lead free solder joints during thermal and isothermal fatigue testing. Daisy chained Ball Grid Array (BGA) assemblies were subjected to either accelerated thermal cycling or cyclic bending at room temperature. In the case of thermal cycling effects of strain range were assessed by comparing assemblies with different distances to neutral point. Crack areas were measured by dye and pry and recrystallization detected by optical microscopy with crossed polarizers. The stochastic nature of the fatigue crack growth associated with variations in Sn grain orientation was addressed by using pattern recognition with Artificial Neural Network (ANN). Different statistics were calculated for the different crack curves at specific life percentages to address the change in crack growth distributions at these different live intervals. Results suggested that the number of cycles to failure could be predicted by the measurement of crack lengths after less than 10% of a typical thermal cycling test. Preliminary results suggest that this may also be true for isothermal cycling, but trends appear to be less easily generalized.
AB - This paper reports on the crack behavior and microstructure evolution of lead free solder joints during thermal and isothermal fatigue testing. Daisy chained Ball Grid Array (BGA) assemblies were subjected to either accelerated thermal cycling or cyclic bending at room temperature. In the case of thermal cycling effects of strain range were assessed by comparing assemblies with different distances to neutral point. Crack areas were measured by dye and pry and recrystallization detected by optical microscopy with crossed polarizers. The stochastic nature of the fatigue crack growth associated with variations in Sn grain orientation was addressed by using pattern recognition with Artificial Neural Network (ANN). Different statistics were calculated for the different crack curves at specific life percentages to address the change in crack growth distributions at these different live intervals. Results suggested that the number of cycles to failure could be predicted by the measurement of crack lengths after less than 10% of a typical thermal cycling test. Preliminary results suggest that this may also be true for isothermal cycling, but trends appear to be less easily generalized.
UR - https://www.scopus.com/pages/publications/79960421306
U2 - 10.1109/ECTC.2011.5898676
DO - 10.1109/ECTC.2011.5898676
M3 - Conference contribution
SN - 9781612844978
T3 - Proceedings - Electronic Components and Technology Conference
SP - 1283
EP - 1290
BT - 2011 IEEE 61st Electronic Components and Technology Conference, ECTC 2011
T2 - 2011 61st Electronic Components and Technology Conference, ECTC 2011
Y2 - 31 May 2011 through 3 June 2011
ER -