Electrohydrodynamic Printing Grid-Structured Catalytic Layers with Excellent Bending Resistance for Flexible Al-air Batteries.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yuxin Zuo, Ying Yu, Junyan Feng, Chuncheng Zuo, Yong Lv
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引用次数: 0

Abstract

The catalytic film of a flexible Al-air battery is generally a brittle film formed by brushing a slurry onto the surface of carbon cloth. Fatigue bending can easily lead to cracking of the catalytic film and shedding of the active material. This study innovatively proposes a novel grid-structured catalytic layer prepared by electrohydrodynamic printing. Experiments have verified that, compared with traditional catalytic films, the grid-structured catalytic layer exhibits excellent bending resistance. After 10 000 fatigue bending cycles, its relative resistance is ≈1/9 that of the traditional catalytic film. The printed grid-structured catalytic layer is applied to a flexible Al-air battery, which maintains a power density retention rate as high as 92% after the same number of bending cycles. Compared to traditional catalytic films, the electrodynamically printed grid-structured catalytic layer proposed in this study demonstrates both excellent electrochemical performance and bending resistance. This advancement holds significant importance for the development and application of flexible metal-air batteries.

用于柔性铝-空气电池的具有优异抗弯曲性的电流体印刷网格结构催化层。
柔性铝空气电池的催化膜通常是通过在碳布表面刷上浆料而形成的脆性膜。疲劳弯曲很容易导致催化膜开裂和活性材料脱落。本研究创新性地提出了一种通过电流体动力印刷制备的新型网格结构催化层。实验证明,与传统催化膜相比,网格结构催化层具有优异的抗弯曲性能。经过 10 000 次疲劳弯曲循环后,其相对阻力≈传统催化薄膜的 1/9。将印刷的网格结构催化层应用于柔性铝空气电池,在相同次数的弯曲循环后,其功率密度保持率高达 92%。与传统催化膜相比,本研究提出的电动印刷网格结构催化层具有优异的电化学性能和抗弯曲性。这一进展对柔性金属空气电池的开发和应用具有重要意义。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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