Reflow soldering process is an important step of the surface mount technology. The purpose of this paper is to minimize the maximum warpage of shielding frame by controlling reflow soldering control parameters.
Compared with other reflow-related design methods, both time and temperate of each extracted time region are considered. Therefore, the number of design variable is increased. To solve the high-dimensional problem, a surrogate-assisted optimization (SAO) called adaptive Kriging high-dimensional representation model (HDMR) is used.
Therefore, the number of design variable is increased. To solve the high-dimensional problem, a surrogate-assisted optimization (SAO) called HDMR is used. The warpage of shield frame is significantly reduced. Moreover, the correlations of design variables are also disclosed.
Compared with the original Kriging HDMR, the expected improvement (EI) criterion is used and a new projection strategy is suggested to improve the efficiency of optimization method. The application suggests that the adaptive Kriging HDMR has potential capability to solve such complicated engineering problems.
This work has been supported by Project of the Key Program of National Natural Science Foundation of China under the Grant Numbers 11572120, 11302266 and 61232014.
Chen, L., Li, E. and Wang, H. (2016), "Time-based reflow soldering optimization by using adaptive Kriging-HDMR method", Soldering & Surface Mount Technology, Vol. 28 No. 2, pp. 101-113. https://doi.org/10.1108/SSMT-07-2015-0021Download as .RIS
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