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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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