Modern Approaches to Fatigue Life Prediction of SMT Solder Joints

1991 ◽  
pp. 384-405 ◽  
Author(s):  
Thomas J. Kilinski ◽  
Jon R. Lesniak ◽  
Bela I. Sandor
2003 ◽  
Vol 125 (1) ◽  
pp. 120-125 ◽  
Author(s):  
Hong Tang ◽  
Cemal Basaran

A thermomechanical fatigue life prediction model based on the theory of damage mechanics is presented. The damage evolution, corresponding to the material degradation under cyclic thermomechanical loading, is quantified thermodynamic framework. The damage, as an internal state variable, is coupled with unified viscoplastic constitutive model to characterize the response of solder alloys. The damage-coupled viscoplastic model with kinematic and isotropic hardening is implemented in ABAQUS finite element package to simulate the cyclic softening behavior of solder joints. Several computational simulations of uniaxial monotonic tensile and cyclic shear tests are conducted to validate the model with experimental results. The behavior of an actual ball grid array (BGA) package under thermal fatigue loading is also simulated and compared with experimental results.


2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Sinan Su ◽  
Francy John Akkara ◽  
Ravinder Thaper ◽  
Atif Alkhazali ◽  
Mohammad Hamasha ◽  
...  

Fatigue failure of solder joints is one of the major causes of failure in electronic devices. Fatigue life prediction models of solder joints were first put forward in the early 1960s, and since then, numbers of methods were used to model the fatigue mechanism of solder joints. In this article, the majority fatigue life models are summarized, with emphasis on the latest developments in the fatigue life prediction methods. All the models reviewed are grouped into four categories based on the factors affecting the fatigue life of solder joints, which are: plastic strain-based fatigue models, creep damage-based fatigue models, energy-based fatigue models, and damage accumulation-based fatigue models. The models that do not fit any of the above categories are grouped into “other models.” Applications and potential limitations for those models are also discussed.


2019 ◽  
Vol 95 ◽  
pp. 58-64 ◽  
Author(s):  
Jiang Xia ◽  
Lin Yang ◽  
Qunxing Liu ◽  
Qi Peng ◽  
LanXian Cheng ◽  
...  

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