Application of Thermal Emission Phase Lock-In Image Statistics to Locate Defects in Z-depth for Advance 2.5D Packaging

Abstract This paper presents a novel method for determining the Z-depth location of short circuit defects in flip chip packages using lock-in thermography (LIT). The approach analyzes phase shift values from localized hot spots using the LIT system's "Image Statistics" feature, specifically focusing on phase "mean" values at specific lock-in frequencies. Through extensive testing on 2.5D stacked silicon interconnect technology (SSIT) packages exhibiting short failures, we established a strong correlation between phase mean values and the vertical location of defects. This technique's reliability was validated through both physical analysis and non-destructive verification methods, demonstrating its effectiveness as a precise diagnostic tool for complex semiconductor packages.

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Publication Details

Journal
Proceedings - International Symposium for Testing and Failure Analysis
Published
2024-10-23
DOI
https://doi.org/10.31399/asm.cp.istfa2024p0213
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
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article

Application of Thermal Emission Phase Lock-In Image Statistics to Locate Defects in Z-depth for Advance 2.5D Packaging

Brian Lai, P.K. Tan, Daniel Nuez
Proceedings - International Symposium for Testing and Failure Analysis
Integrated Circuits and Semiconductor Failure Analysis
article

Application of Thermal Emission Phase Lock-In Image Statistics to Locate Defects in Z-depth for Advance 2.5D Packaging

Brian Lai, P.K. Tan, Daniel Nuez
article en

Abstract

Abstract This paper presents a novel method for determining the Z-depth location of short circuit defects in flip chip packages using lock-in thermography (LIT). The approach analyzes phase shift values from localized hot spots using the LIT system's "Image Statistics" feature, specifically focusing on phase "mean" values at specific lock-in frequencies. Through extensive testing on 2.5D stacked silicon interconnect technology (SSIT) packages exhibiting short failures, we established a strong correlation between phase mean values and the vertical location of defects. This technique's reliability was validated through both physical analysis and non-destructive verification methods, demonstrating its effectiveness as a precise diagnostic tool for complex semiconductor packages.

Proceedings - International Symposium for Testing and Failure AnalysisVol. 84918
Advanced Micro Devices (United States) (US), Thermo Fisher Scientific (United States) (US)
Openalex Percentile: Top 84%
Integrated Circuits and Semiconductor Failure Analysis
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