Design of a submillimeter crack-detection tool for Si photovoltaic wafers using vicinal illumination and dark-field scattering

Zhe Liu, Sarah Wieghold, Luke T. Meyer, Loewen K. Cavill, Tonio Buonassisi, Emanuel M. Sachs

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Microcracks in silicon solar cells reduce the mechanical strength of the wafer and cause breakage during manufacturing, transportation, and field operation. Therefore, there is a need to trace where microcracks initiate in the manufacturing line. As wafers become thinner, the critical crack length required for fracture significantly decreases for the same loading conditions. Currently, very few industry-standard tools can reliably detect submillimeter cracks, which will become more critical for thinner wafers. In this work, we demonstrate a technique to detect submillimeter cracks located at the edges of various multicrystalline silicon wafers and solar cells. The proposed technique, which is based on near-infrared dark-field imaging with vicinal laser illumination from the wafer edge, has several advantages over state-of-the-art optical transmission imaging and dark-field scattering techniques. Moreover, we adapt this technique to achieve the high-throughput requirement of inline metrology; hence, it can be used to detect submillimeter cracks in a manufacturing line. With a high-frame-rate line-scan camera, this proposed crack technique is designed to theoretically achieve a scanning throughput of less than 1 s per wafer.

Original languageEnglish
Article number8458367
Pages (from-to)1449-1456
Number of pages8
JournalIEEE Journal of Photovoltaics
Volume8
Issue number6
DOIs
StatePublished - Nov 2018
Externally publishedYes

Funding

Manuscript received May 4, 2018; revised July 5, 2018 and July 28, 2018; accepted August 2, 2018. Date of publication September 10, 2018; date of current version October 26, 2018. This work was supported by the U.S. Department of Energy under Photovoltaic Research and Development program under Award DE-EE0007535. (Zhe Liu and Sarah Wieghold contributed equally to this work.) (Corresponding authors: Zhe Liu; Sarah Wieghold; and Emanuel M. Sachs.) The authors are with the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA (e-mail:, [email protected]; [email protected]; [email protected]; loewenkc@mit. edu; [email protected]; [email protected]).

FundersFunder number
U.S. Department of EnergyDE-EE0007535

    Keywords

    • Automatic optical inspection
    • crack detection
    • high-throughput inspection
    • machine vision
    • manufacturing
    • photovoltaic cells
    • solar energy

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