研究目的
To address the challenges of shrinking device size and thickness in the microelectronics packaging industry by developing a robust ultrafast laser scribe process that minimizes thermal damage and improves die break strength.
研究成果
The ultrafast laser scribe process demonstrated significant improvements in die break strength and reduction in thermal damage compared to traditional nanosecond processes. The study also showed that the process is viable for high volume manufacturing with potential for further throughput improvements and cost reductions as femtosecond laser technology advances.
研究不足
The study acknowledges that the feasibility of eliminating protective coating for the ultrafast laser process cannot be generalized for all device types and applications, indicating a need for additional evaluation based on specific customer requirements.
1:Experimental Design and Method Selection:
The study compares the grooving quality and die break strength between traditional nanosecond laser processes and the new femtosecond laser processes. It includes theoretical models of laser-material interactions for both nanosecond and femtosecond lasers.
2:Sample Selection and Data Sources:
Device wafers from a 14nm node were used to evaluate the laser grooving processes. Optical and SEM images, as well as confocal microscopy, were employed to assess groove quality and depth.
3:List of Experimental Equipment and Materials:
The study utilized a femtosecond ultrafast laser platform developed through collaboration between ESI and Intel. Specific models or brands of the equipment were not detailed in the abstract.
4:Experimental Procedures and Operational Workflow:
The process involved laser grooving followed by blade dicing to singulate dies for analysis. The study evaluated the effects of wavelength (UV vs. green), repetition rate, and the use of protective coating on process quality and throughput.
5:Data Analysis Methods:
The study analyzed groove quality through optical and SEM imaging, die break strength measurements, and thermal modeling to understand the impact of key process parameters.
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