Improved Die Attribute Recognition via Colored Glass Wafer

Alyssa Grace Gablan *

Operations, Assembly Manufacturing, STMicroelectronics, Inc., Laguna, 4027-Philippines, Calamba, Philippines.

Jerome Dinglasan

Operations, Assembly Manufacturing, STMicroelectronics, Inc., Laguna, 4027-Philippines, Calamba, Philippines.

Frederick Ray Gomez

New Product Development & Introduction, STMicroelectronics, Inc., Laguna, 4027-Philippines, Calamba, Philippines.

*Author to whom correspondence should be addressed.


Abstract

The rise of various Wafer technologies has been developed based on industries and applications requirement. Highest quality of material characterization is complex and requires specialized process equipment and manufacturing procedures to meet defined design standards. The paper presents distinctive glass wafer-level fabrication technology that will enhance its properties with respect to pattern recognition system (PRS) at back-end manufacturing for industrial applications. Feasibility of colored glass wafer has been built into proposed conception to manufacture wafer-level packaging. The idea from transparent to colored glass wafer came from manufacturing key challenges that cutting sequence during pattern recognition cannot be distinguished. The proposed solution will mitigate high risk of misaligned cut at wafer sawing and its potential attachment on leadframe during die attach. glass wafer dice, transparent in nature, intermittently encountered multiple PRS assist during Wafer sawing and die attach as it hardly recognizes its cutting positions. Since dependent of machine capability limitations, misaligned cut is inevitable and usually happen occasionally. Addressing its unrecognizable characteristic, proposed colored glass wafer and with visible outline and saw lane fabrication was conceptualized instead of seeking ideal and high equipment model that can differentiate its opaque feature. The colored glass wafer and with visible outline and saw lane naturally creates segmentation visibly and will not be parameter dependent during manufacturing.

Keywords: Glass wafer, industrial application, misaligned cut, pattern recognition system, transparent die


How to Cite

Gablan, A. G., Dinglasan, J., & Gomez, F. R. (2021). Improved Die Attribute Recognition via Colored Glass Wafer. Journal of Engineering Research and Reports, 20(6), 104–108. https://doi.org/10.9734/jerr/2021/v20i617332

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