Detection of sub-500-μm cracks in multicrystalline silicon wafer using edge-illuminated dark-field imaging to enable thin solar cell manufacturing

Sarah Wieghold, Zhe Liu, Samuel J. Raymond, Luke T. Meyer, John R. Williams, Tonio Buonassisi, Emanuel M. Sachs

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

High capital expenditures associated with manufacturing thin silicon wafers make it difficult for the industry to scale up and prevent novel technologies from entering the market. Thin wafers fail largely due to breakage during solar cell processing and handling. One of the root causes for breakage is sub-mm edge cracks in the silicon wafer, and these cracks cannot be reliably detected by most commercially-available crack detection tools. In this work, we first investigate the correlation between wafer thickness and critical crack length, and explain the importance of detecting sub-500-μm edge cracks as the wafer thickness is reduced. Secondly, we extend our previous work of micro-crack detection to demonstrate an edge illumination technique using a near-infrared laser to image edge cracks less than 500 μm in length in multicrystalline silicon. Thirdly, we investigate two fundamental edge illumination mechanisms based on dark-field imaging; namely, direct and vicinal illumination. We will then compare these methods to a state-of-the-art rear illumination method. The advantages and disadvantages of both illumination methods are presented and provide an in-depth analysis of light-crack interaction. In particular, we find that the robustness of vicinal illumination is due to diffuse reflectance. The diffuse reflectance has less dependence on crack configurations, while direct illumination has more dependence on the crack configurations because it utilizes specular reflectance. Our results show that our proposed prototype can detect sub-mm edge cracks in multicrystalline silicon wafers, which is an important step in enabling thin silicon wafer manufacturing.

Original languageEnglish
Pages (from-to)70-77
Number of pages8
JournalSolar Energy Materials and Solar Cells
Volume196
DOIs
StatePublished - Jul 1 2019
Externally publishedYes

Funding

This work is supported by U.S. Department of Energy under Photovoltaic Research and Development (PVRD) program with the award number DE-EE0007535 . This work was supported in part at the Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Coordination Infrastructure Network (NNCI), which is supported by the National Science Foundation under NSF award no. 1541959 . CNS is part of Harvard University . This work is supported by U.S. Department of Energy under Photovoltaic Research and Development (PVRD) program with the award number DE-EE0007535. This work was supported in part at the Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Coordination Infrastructure Network (NNCI), which is supported by the National Science Foundation under NSF award no. 1541959. CNS is part of Harvard University.

FundersFunder number
National Science Foundation1541959
U.S. Department of EnergyDE-EE0007535
Harvard University

    Keywords

    • Crack detection
    • Dark-field imaging
    • Material point method
    • Multicrystalline silicon wafer
    • Sub-mm edge cracks
    • Thin silicon wafer

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