4.8 Article

Slip length measurement in rectangular graphene nanochannels with a 3D flow analysis

期刊

CARBON
卷 189, 期 -, 页码 162-172

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.carbon.2021.12.048

关键词

Capillary filling; Rectangular graphene nanochannels; Slip length; 3D flow model; Washburn equation

资金

  1. JST CREST [JPMJCR18I1]
  2. JSPS KAKENHI [JP18K03929, JP18K03978, JP20H02089, JP20H02090, JP21K18693]

向作者/读者索取更多资源

In this study, a 3D capillary flow model was developed to accurately measure slip length in graphene nanochannels. Experimental measurements and reevaluation of existing data revealed smaller slip lengths than previously reported. This research provides a comprehensive understanding of slip flow in graphene nanochannels.
Although many molecular dynamics simulations have been conducted on slip flow on graphene, experimental efforts remain very limited and our understanding of the flow friction on graphene remains far from sufficient. Here, to accurately measure the slip length in rectangular nanochannels, we develop a 3D capillary flow model that fully considers the nonuniform cross-section velocity profile, slip boundary conditions, and the dynamic contact angle. We show that the 3D analysis is necessary even for a channel with a width/height ratio of 100. We fabricated graphene nanochannels with 45-nm depth and 5 -mm width, and measured slip lengths of about 30-40 nm using this 3D flow model. We also reevaluated the slip-length data for graphene obtained from capillary filling experiments in the literature: 30 nm instead of originally claimed 45 nm for a 25-nm-deep channel, and 47 nm instead of 60 nm for an 8.5-nm-deep channel. We discover a smaller slip length than existing experimental measurements due to our full 3D flow analysis considered in our method. This work presents a rigorous analysis approach while also providing a better understanding of slip flow in graphene nanochannels, which will benefit further innovation in nanofluidic applications, including electronics cooling and biomedical chips. (c) 2021 Elsevier Ltd. All rights reserved.

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