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Enhanced Die Attach Process Defect Recognition on QFN Leadframe Packages

Authors :
Alyssa Grace S. Gablan
Frederick Ray I. Gomez
Marque Ryan Salcedo
Jerome J. Dinglasan
Source :
Journal of Engineering Research and Reports. :92-96
Publication Year :
2021
Publisher :
Sciencedomain International, 2021.

Abstract

Advanced packaging at the back-end semiconductor manufacturing characterizes various equipment capabilities per device requirement. High resolution imaging for inspection system during die attach process has gained its interest to feature automated selections during in-line processing. Increasing yet stringent requisites of today’s applications give us leading indicators of market’s demand at more functionality in a smaller and complex package. In light with the technology trend, vision inspection system is a well-known challenge. Instead of using a high magnification microscope off-line after assembly processing, leadframe inspection feature uses optical image-based system to recognize real-time feedback on lead-related defects. Such leadframe inspection activation provides good accuracy, monitoring process integrity in real-time for quad-flat no-leads (QFN) leadframe packages. This paper presents how leadframe inspection at die attach machine takes advantage of simultaneous detection of early die attach defect manifestations.

Details

ISSN :
25822926
Database :
OpenAIRE
Journal :
Journal of Engineering Research and Reports
Accession number :
edsair.doi...........f0dd32e1fdfd6839e17c0880952221a9
Full Text :
https://doi.org/10.9734/jerr/2021/v20i317286