Thermal Stress Analysis and Optimization of BGA Solder Joint Power Load Based on Regression Analysis and Genetic Algorithm[J]. Acta Electronica Sinica, 2019, 47(3): 734-740.
DOI:
Thermal Stress Analysis and Optimization of BGA Solder Joint Power Load Based on Regression Analysis and Genetic Algorithm[J]. Acta Electronica Sinica, 2019, 47(3): 734-740. DOI: 10.3969/j.issn.0372-2112.2019.03.031.
Thermal Stress Analysis and Optimization of BGA Solder Joint Power Load Based on Regression Analysis and Genetic Algorithm
The finite element analysis model of BGA (Ball Grid Array) solder joints is established.The height of solder joints
the maximum radial dimension of solder joints
the diameter of upper and lower solder joints are selected as design variables
and the stress of solder joints is taken as target value.29 groups of solder joints with different levels are designed and simulated by response surface methodology.The regression equation of solder joint stress and structural parameters is established.The structural parameters of solder joint are optimized based on the regression equation and genetic algorithm
and the optimal level combination of structural parameters with minimum solder joint stress is obtained.The results show that for lead-free solder SAC387
the solder joint stress decreases with the increase of solder joint height
and decreases with the decrease of maximum radial dimension;the combination of solder joint level with minimum stress is:solder joint height 0.38mm
maximum radial dimension 0.42mm
upper pad diameter 0.34mm and lower pad diameter 0.35mm.The results show that the maximum stress of the solder joint decreases by 4.66MPa after optimization
and the structure optimization of BGA solder joint is realized.