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Laser cutting of silicon anode for lithium-ion batteries

Authors
Berhe, M.G.Oh, H.G.Park, S.-K.Lee, D.
Issue Date
Jan-2022
Publisher
Elsevier Editora Ltda
Keywords
ANOVA; Copper; Laser cutting; Regression analysis; Silicon anode
Citation
Journal of Materials Research and Technology, v.16, pp 322 - 334
Pages
13
Journal Title
Journal of Materials Research and Technology
Volume
16
Start Page
322
End Page
334
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61792
DOI
10.1016/j.jmrt.2021.11.135
ISSN
2238-7854
2214-0697
Abstract
Lithium-ion batteries (LIBs) are vital in the transportation sector due to their promising technology meeting the future hybrid and electric vehicles requirements. The limited capacities of anode and cathode materials are the obstacle in the current state of LIBs to obtain good performance. Silicon (Si) has the highest capacity compared to the currently used graphite anode. In this study, laser technology was employed to perform cutting of silicon anodes, which previously have not been studied. First, the optical properties of silicon anode are measured, and four types of cutting widths such as top, kerf, clearance, and burr as well as five types of physical cutting phenomena such as excessive fill cutting, proper full cutting, partial cutting, partial melting of the current collector and full ablation of active material were defined and measured. Minimum average cutting power, as well as cutting and energy efficiencies, are established for all parameter groups. The effects of process parameters on the measured cutting widths are studied by developing mathematical models using multivariate regression based on the response surface method (RSM). The process parameters contribution was also analyzed using the analysis of variance (ANOVA). For the formation of kerf width, clearance width, and burr width the cutting speed have the largest contribution with percentages of 53, 55, and 67 respectively. The laser power also has a 65% impact on the formation of the top width. © 2021 The Author(s)
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대학원 (지능형에너지산업융합학과)
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