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    Analysis of Deposition Methods for Lithium-Ion Battery Anodes Using Reduced Graphene Oxide Slurries on Copper Foil

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009::page 94501
    Author:
    Garofalo, James
    ,
    Lawler, John
    ,
    Walczyk, Daniel
    ,
    Koratkar, Nikhil
    DOI: 10.1115/1.4040265
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Graphene oxide (GO) slurries were deposited onto copper foil for use in lithium-ion battery anodes to determine the best deposition method(s) for research or high-volume manufacturing. Four deposition methods were tested: doctor blade, Mayer rod, slot die, and low volume low pressure (LVLP) spray. Analytical models that link tooling and process characteristics to mass flow rate of slurry and the resulting dry deposition height are developed and validated experimentally. While all methods successfully produced functioning batteries, a number of different qualitative and quantitative metrics from experimental results identified the best method for both situations. Observations were recorded on adhesion, deposition consistency, usability, and cleanability. Data on specific discharge capacity were recorded to show performance over the anode lifetime and at different charge/discharge rates. The data indicate that anodes produced using reduced graphene oxide (rGO) deliver a specific charge storage capacity of 50 to 400 mAh/g at charge–discharge rates of 1 C to 0.05 C. Doctor blading proved to be best for laboratory setups because of its adjustability, while the Mayer rod shows promise for high-volume manufacturing due to better performance and the use of nonadjustable, dedicated tooling. All methods, analysis, and metrics are discussed.
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      Analysis of Deposition Methods for Lithium-Ion Battery Anodes Using Reduced Graphene Oxide Slurries on Copper Foil

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4251954
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    contributor authorGarofalo, James
    contributor authorLawler, John
    contributor authorWalczyk, Daniel
    contributor authorKoratkar, Nikhil
    date accessioned2019-02-28T11:02:09Z
    date available2019-02-28T11:02:09Z
    date copyright6/28/2018 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_09_094501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251954
    description abstractGraphene oxide (GO) slurries were deposited onto copper foil for use in lithium-ion battery anodes to determine the best deposition method(s) for research or high-volume manufacturing. Four deposition methods were tested: doctor blade, Mayer rod, slot die, and low volume low pressure (LVLP) spray. Analytical models that link tooling and process characteristics to mass flow rate of slurry and the resulting dry deposition height are developed and validated experimentally. While all methods successfully produced functioning batteries, a number of different qualitative and quantitative metrics from experimental results identified the best method for both situations. Observations were recorded on adhesion, deposition consistency, usability, and cleanability. Data on specific discharge capacity were recorded to show performance over the anode lifetime and at different charge/discharge rates. The data indicate that anodes produced using reduced graphene oxide (rGO) deliver a specific charge storage capacity of 50 to 400 mAh/g at charge–discharge rates of 1 C to 0.05 C. Doctor blading proved to be best for laboratory setups because of its adjustability, while the Mayer rod shows promise for high-volume manufacturing due to better performance and the use of nonadjustable, dedicated tooling. All methods, analysis, and metrics are discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis of Deposition Methods for Lithium-Ion Battery Anodes Using Reduced Graphene Oxide Slurries on Copper Foil
    typeJournal Paper
    journal volume140
    journal issue9
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4040265
    journal fristpage94501
    journal lastpage094501-9
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009
    contenttypeFulltext
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