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    A Potential High-Throughput Route to Collagen-Mimicked Carbon Nanotube Fiber via Domino Pushing and Ion Bombardment

    Source: Journal of Applied Mechanics:;2020:;volume( 087 ):;issue: 006
    Author:
    Yin, Qifang
    ,
    Geng, Kun
    ,
    Yuan, Yanan
    ,
    Zhang, Zuoqi
    DOI: 10.1115/1.4046582
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Carbon nanotubes (CNTs) have been shown owning extraordinary mechanical properties for decades, but to date, their wide application as load-bearing structural materials has not been realized mainly due to the critical obstacles of weak interface, poor distribution and alignment, and lack of economic technology for mass production and processing. In order to overcome these obstacles, we proposed a potential route from as-grown CNT forest to collagen-mimicked CNT films with covalently crosslinked CNTs arranged in a staggered alignment. To consolidate the foundation of the route, its critical step of ion bombardment to construct the intertube crosslinks in CNT films was simulated using molecular dynamics simulations. Results show that the ion bombardment can efficiently construct the intertube crosslinks and greatly improve the elastic modulus and strength of CNT films by as much as 24% and 660%, respectively, with comparison to the nonbombarded ones. The influences of the number and the kinetic energy of the incident particles were systematically investigated and the corresponding contours were presented, suggesting the optimal energy and number of the incident particles for the elastic modulus and strength of collagen-mimicked CNT films. The work not only provides a novel route to mass fabrication of high-performance CNT fibers but also gives useful guidelines on the optimization of processing design.
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      A Potential High-Throughput Route to Collagen-Mimicked Carbon Nanotube Fiber via Domino Pushing and Ion Bombardment

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    contributor authorYin, Qifang
    contributor authorGeng, Kun
    contributor authorYuan, Yanan
    contributor authorZhang, Zuoqi
    date accessioned2022-02-04T14:12:37Z
    date available2022-02-04T14:12:37Z
    date copyright2020/04/02/
    date issued2020
    identifier issn0021-8936
    identifier otherjam_87_6_061008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273189
    description abstractCarbon nanotubes (CNTs) have been shown owning extraordinary mechanical properties for decades, but to date, their wide application as load-bearing structural materials has not been realized mainly due to the critical obstacles of weak interface, poor distribution and alignment, and lack of economic technology for mass production and processing. In order to overcome these obstacles, we proposed a potential route from as-grown CNT forest to collagen-mimicked CNT films with covalently crosslinked CNTs arranged in a staggered alignment. To consolidate the foundation of the route, its critical step of ion bombardment to construct the intertube crosslinks in CNT films was simulated using molecular dynamics simulations. Results show that the ion bombardment can efficiently construct the intertube crosslinks and greatly improve the elastic modulus and strength of CNT films by as much as 24% and 660%, respectively, with comparison to the nonbombarded ones. The influences of the number and the kinetic energy of the incident particles were systematically investigated and the corresponding contours were presented, suggesting the optimal energy and number of the incident particles for the elastic modulus and strength of collagen-mimicked CNT films. The work not only provides a novel route to mass fabrication of high-performance CNT fibers but also gives useful guidelines on the optimization of processing design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Potential High-Throughput Route to Collagen-Mimicked Carbon Nanotube Fiber via Domino Pushing and Ion Bombardment
    typeJournal Paper
    journal volume87
    journal issue6
    journal titleJournal of Applied Mechanics
    identifier doi10.1115/1.4046582
    page61008
    treeJournal of Applied Mechanics:;2020:;volume( 087 ):;issue: 006
    contenttypeFulltext
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