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优化超声设备中的石墨烯产量。

Optimizing graphene production in ultrasonic devices.

机构信息

Institute of Materials Science and Technology (INTEMA), National Research Council (CONICET), University of Mar del Plata, Juan B. Justo 4302, Mar del Plata, Argentina.

Institute of Materials Science and Technology (INTEMA), National Research Council (CONICET), University of Mar del Plata, Juan B. Justo 4302, Mar del Plata, Argentina.

出版信息

Ultrasonics. 2020 Jan;100:105989. doi: 10.1016/j.ultras.2019.105989. Epub 2019 Aug 27.

Abstract

In this work, we investigate the efficiency of graphene production from graphite by ultrasonic-induced exfoliation under different operational conditions. An ultrasonic bath and an ultrasonic horn tip were used, to show how the graphene production efficiency depends on the acoustic intensity and cavitation mechanism using graphite crystal with different initial sizes and characteristic lengths. Operational variables such as geometry, location and type of vessel containing the liquid phase, were also explored. All of them have effect on the cavitation process and directly influence the amount of graphene obtained. Remarkably, we found that the initial size of the graphite crystals has a marked impact in exfoliation process. Based on the above arguments we propose a combined protocol with a specific sequence to maximize the amount of graphene obtained.

摘要

在这项工作中,我们研究了在不同操作条件下通过超声诱导剥离从石墨中生产石墨烯的效率。使用了超声浴和超声变幅杆,以展示石墨烯的生产效率如何取决于使用具有不同初始尺寸和特征长度的石墨晶体的声强和空化机制。还探索了操作变量,如包含液相的容器的几何形状、位置和类型。所有这些都对空化过程有影响,并直接影响获得的石墨烯的数量。值得注意的是,我们发现石墨晶体的初始尺寸对剥离过程有显著影响。基于上述论点,我们提出了一种具有特定顺序的组合方案,以最大限度地提高获得的石墨烯的数量。

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