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    Predictive Modeling for Glass Side Laser Scribing of Thin Film Photovoltaic Cells

    Source: Journal of Manufacturing Science and Engineering:;2013:;volume( 135 ):;issue: 005::page 51004
    Author:
    Wang, Hongliang
    ,
    Hsu, Shan
    ,
    Tan, Huade
    ,
    Yao, Y. Lawrence
    ,
    Chen, Hongqiang
    ,
    Azer, Magdi N.
    DOI: 10.1115/1.4024818
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Laser scribing of multilayerthinfilm solar cells is an important process for producing integrated serial interconnection of minimodules, used to reduce photocurrent and resistance losses in a largearea solar cell. Quality of such scribing contributes to the overall quality and efficiency of the solar cell, and therefore predictive capabilities of the process are essential. Limited numerical work has been performed in predicting the thin film laser removal processes. In this study, a fullycoupled multilayer thermal and mechanical finite element model is developed to analyze the laserinduced spatiotemporal temperature and thermal stress responsible for SnO2:F film removal. A plasma expansion induced pressure model is also investigated to simulate the nonthermal film removal of CdTe due to the microexplosion process. Corresponding experiments of SnO2:F films on glass substrates by 1064 nm ns laser irradiation show a similar removal process to that predicted in the simulation. Differences between the model and experimental results are discussed and future model refinements are proposed. Both simulation and experimental results from glassside laser scribing show clean film removal with minimum thermal effects indicating minimal changes to material electrical properties.
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      Predictive Modeling for Glass Side Laser Scribing of Thin Film Photovoltaic Cells

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/152387
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    • Journal of Manufacturing Science and Engineering

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    contributor authorWang, Hongliang
    contributor authorHsu, Shan
    contributor authorTan, Huade
    contributor authorYao, Y. Lawrence
    contributor authorChen, Hongqiang
    contributor authorAzer, Magdi N.
    date accessioned2017-05-09T01:00:33Z
    date available2017-05-09T01:00:33Z
    date issued2013
    identifier issn1087-1357
    identifier othermanu_135_05_051004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/152387
    description abstractLaser scribing of multilayerthinfilm solar cells is an important process for producing integrated serial interconnection of minimodules, used to reduce photocurrent and resistance losses in a largearea solar cell. Quality of such scribing contributes to the overall quality and efficiency of the solar cell, and therefore predictive capabilities of the process are essential. Limited numerical work has been performed in predicting the thin film laser removal processes. In this study, a fullycoupled multilayer thermal and mechanical finite element model is developed to analyze the laserinduced spatiotemporal temperature and thermal stress responsible for SnO2:F film removal. A plasma expansion induced pressure model is also investigated to simulate the nonthermal film removal of CdTe due to the microexplosion process. Corresponding experiments of SnO2:F films on glass substrates by 1064 nm ns laser irradiation show a similar removal process to that predicted in the simulation. Differences between the model and experimental results are discussed and future model refinements are proposed. Both simulation and experimental results from glassside laser scribing show clean film removal with minimum thermal effects indicating minimal changes to material electrical properties.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePredictive Modeling for Glass Side Laser Scribing of Thin Film Photovoltaic Cells
    typeJournal Paper
    journal volume135
    journal issue5
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4024818
    journal fristpage51004
    journal lastpage51004
    identifier eissn1528-8935
    treeJournal of Manufacturing Science and Engineering:;2013:;volume( 135 ):;issue: 005
    contenttypeFulltext
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