Open AccessProcess Optimization and Implementation of Online Monitoring Process in the Transfer Molding for Electronic Packaging
Author(s) -
Burcu Kaya,
Jan-Martin Kaiser,
KarlFriedrich Becker,
Tanja Braun,
KlausDieter Lang
Publication year - 2019
Publication title -
journal of microelectronics and electronic packaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.192
H-Index - 17
eISSN - 1555-8037
pISSN - 1551-4897
DOI - 10.4071/imaps.954402
Subject(s) - transfer molding , molding (decorative) , process (computing) , electronic packaging , process engineering , materials science , mechanical engineering , computer science , composite material , engineering , mold , operating system
The quality of molded packages heavily depends on the process parameters of the molding process and on the material characteristics of epoxy molding compounds (EMCs). When defects are introduced into the electronic packages in one of the last steps in the manufacturing process, namely, during encapsulation, it may cause high failure costs. To decrease the number of defects due to the molding process, a comprehensive understanding of the impact of process parameters and variations in the characteristics of the EMC on package quality is necessary. This study aimed at supporting a deeper understanding of the influence of process parameters and variations in the material characteristics of the EMC on package quality. A systematic approach was introduced to generate a process model describing the correlation between process parameters and package quality to obtain optimum process parameters for the transfer molding process. The influence of the alterations in material characteristics of the EMC due to prolonged storage duration and humidity on void formation and wire sweep was investigated. An online monitoring method, dielectric analysis (DEA), was implemented into the transfer molding process to monitor the variations in the cure behavior of the EMC. A second molding compound was used to analyze the similarities in the alteration behavior of the molding compounds when subjected to the same preconditioning and to generalize the characteristic information obtained from DEA.