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    Resonant Acoustic Vibration-Assisted Cathode Stripping for Efficient Recycling of Spent Li-Ion Batteries

    Source: Journal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 004::page 44501-1
    Author:
    Xiao, Yaohong
    ,
    Su, Jinrong
    ,
    Chen, Lei
    DOI: 10.1115/1.4064629
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The emerging field of direct recycling for spent Li-ion batteries offers significant advantages, such as reduced energy expenses and minimized secondary pollution, when compared to traditional pyrometallurgical and hydrometallurgical methods. This is due to its direct utilization of the spent cathodes as raw materials. However, efficient harvesting of spent cathode particles remains a challenge. To address this issue, this technical brief is the first to incorporate resonant acoustic vibration technology (RAV) as an efficient method for stripping cathode powders from spent Li-ion batteries. Our findings indicate that RAV-based techniques can achieve a stripping efficiency of up to 92%. A comparative analysis with conventional stripping methods, such as magnetic stirring, sonication, and curling–uncurling, reveals that RAV coupled with heat treatment provides unparalleled scalability and efficiency, eliminating the need for post-processing. Furthermore, the resulting cathode powders retain their original polycrystalline particle structures, with no impurities, such as carbon black or small aluminum fragments detected. These findings highlight the promise of RAV technology for large-scale recovery of electrode powders and its potential role in direct recycling of spent Li-ion batteries.
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      Resonant Acoustic Vibration-Assisted Cathode Stripping for Efficient Recycling of Spent Li-Ion Batteries

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4295628
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    contributor authorXiao, Yaohong
    contributor authorSu, Jinrong
    contributor authorChen, Lei
    date accessioned2024-04-24T22:39:30Z
    date available2024-04-24T22:39:30Z
    date copyright2/26/2024 12:00:00 AM
    date issued2024
    identifier issn1087-1357
    identifier othermanu_146_4_044501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295628
    description abstractThe emerging field of direct recycling for spent Li-ion batteries offers significant advantages, such as reduced energy expenses and minimized secondary pollution, when compared to traditional pyrometallurgical and hydrometallurgical methods. This is due to its direct utilization of the spent cathodes as raw materials. However, efficient harvesting of spent cathode particles remains a challenge. To address this issue, this technical brief is the first to incorporate resonant acoustic vibration technology (RAV) as an efficient method for stripping cathode powders from spent Li-ion batteries. Our findings indicate that RAV-based techniques can achieve a stripping efficiency of up to 92%. A comparative analysis with conventional stripping methods, such as magnetic stirring, sonication, and curling–uncurling, reveals that RAV coupled with heat treatment provides unparalleled scalability and efficiency, eliminating the need for post-processing. Furthermore, the resulting cathode powders retain their original polycrystalline particle structures, with no impurities, such as carbon black or small aluminum fragments detected. These findings highlight the promise of RAV technology for large-scale recovery of electrode powders and its potential role in direct recycling of spent Li-ion batteries.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleResonant Acoustic Vibration-Assisted Cathode Stripping for Efficient Recycling of Spent Li-Ion Batteries
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4064629
    journal fristpage44501-1
    journal lastpage44501-8
    page8
    treeJournal of Manufacturing Science and Engineering:;2024:;volume( 146 ):;issue: 004
    contenttypeFulltext
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