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Research Article Open access CC BY 4.0

Enhanced Die Attach Process Defect Recognition on QFN Leadframe Packages

Marque Ryan Salcedo, Alyssa Grace Gablan, Jerome Dinglasan, Frederick Ray Gomez

Journal of Engineering Research and Reports · pp. 92–96 · Published 13 Mar 2021

10.9734/jerr/2021/v20i317286

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.

Die attach process error-proofing leadframe inspection lead-related defect QFN pattern recognition.

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