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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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