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    Three-Dimensional Profile Reconstruction and Internal Defect Detection of Silicon Wafers Using Cascaded Fiber Optic Fabry–Pérot Interferometer and Leaky Field Detection Technologies

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 007::page 70907-1
    Author:
    Zhou, Fengfeng
    ,
    Fu, Xingyu
    ,
    Chen, Siying
    ,
    Han, Changheon
    ,
    Jun, Martin B. G.
    DOI: 10.1115/1.4065523
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wafer quality control is one of the important processes to improve the yield rate of semiconductor products. Profile quality and defects in the wafer are two key factors that should be taken into consideration. In this research, we introduce a method that measures the profile of the upper surface and the thickness of the wafer at the same time using an optical fiber cascaded Fabry–Pérot interferometer working at wavelength of 1550 nm. Therefore, the 3D profile of the wafer can be reconstructed directly. Testing results show that both accuracy and precision of the Fabry–Pérot interferometer are within a nanometer scale. Defects, especially those embedded inside the wafer, will be detected by monitoring the leaky field with treating wafers as slab waveguides. With the leaky field detection, defects on the lower surface of the wafer were successfully detected by monitoring the leaky field above the upper surface of the wafer. Compared with traditional methods such as radiographic testing or computed tomography testing, the proposed methods provide a cost-effective alternative for wafer quality evaluation.
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      Three-Dimensional Profile Reconstruction and Internal Defect Detection of Silicon Wafers Using Cascaded Fiber Optic Fabry–Pérot Interferometer and Leaky Field Detection Technologies

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303443
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    contributor authorZhou, Fengfeng
    contributor authorFu, Xingyu
    contributor authorChen, Siying
    contributor authorHan, Changheon
    contributor authorJun, Martin B. G.
    date accessioned2024-12-24T19:10:57Z
    date available2024-12-24T19:10:57Z
    date copyright6/3/2024 12:00:00 AM
    date issued2024
    identifier issn1087-1357
    identifier othermanu_146_7_070907.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303443
    description abstractWafer quality control is one of the important processes to improve the yield rate of semiconductor products. Profile quality and defects in the wafer are two key factors that should be taken into consideration. In this research, we introduce a method that measures the profile of the upper surface and the thickness of the wafer at the same time using an optical fiber cascaded Fabry–Pérot interferometer working at wavelength of 1550 nm. Therefore, the 3D profile of the wafer can be reconstructed directly. Testing results show that both accuracy and precision of the Fabry–Pérot interferometer are within a nanometer scale. Defects, especially those embedded inside the wafer, will be detected by monitoring the leaky field with treating wafers as slab waveguides. With the leaky field detection, defects on the lower surface of the wafer were successfully detected by monitoring the leaky field above the upper surface of the wafer. Compared with traditional methods such as radiographic testing or computed tomography testing, the proposed methods provide a cost-effective alternative for wafer quality evaluation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThree-Dimensional Profile Reconstruction and Internal Defect Detection of Silicon Wafers Using Cascaded Fiber Optic Fabry–Pérot Interferometer and Leaky Field Detection Technologies
    typeJournal Paper
    journal volume146
    journal issue7
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4065523
    journal fristpage70907-1
    journal lastpage70907-11
    page11
    treeJournal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 007
    contenttypeFulltext
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