Directional step flow across ridges on multiscale two-face prism array

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• 作者：Hyunsik Yoon (1)
  Seung Hyun Sung (2)
  Jai Hyun Koh (2)
  Sang Moon Kim (3)
  Se-Jin Choi (4)
  Kahp Y. Suh (3)
  Kookheon Char (2)
  
  1. Department of Chemical and Biomolecular Engineering ; Seoul National University of Science & Technology ; Seoul ; 139-743 ; Korea
  2. School of Chemical and Biological Engineering ; The National Initiative Creative Research Center for Intelligent Hybrids ; The WCU Program for Chemical Convergence for Energy and Environment ; Seoul National University ; Seoul ; 151-744 ; Korea
  3. School of Mechanical and Aerospace Engineering ; Seoul National University ; Seoul ; 151-744 ; Korea
  4. MCNet Co. ; Ltd. ; Room 307-1 Building 103 SK Ventium ; Dangjeong-dong ; Gunpo-si ; Gyeonggi ; 435-833 ; Korea
  
• 关键词：prism ; directional flow ; polymer ; microfluidics ; contact angle
• 刊名：Macromolecular Research
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：23
• 期：2
• 页码：145-148
• 全文大小：513 KB
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• 刊物类别：Chemistry and Materials Science
• 刊物主题：Chemistry
  Physical Chemistry
  Polymer Sciences
  Characterization and Evaluation of Materials
  Soft and Granular Matter, Complex Fluids and Microfluidics
  Nanochemistry
  Nanotec
  
• 出版者：The Polymer Society of Korea, co-published with Springer
• ISSN：2092-7673

文摘

Directional wetting or spreading on asymmetric structures have received much attention because of their potential to control the liquid flow in microfluidic devices. Although there have been many reports on directional liquid flows, the flow speeds of the directional flows could not be predicted. Here, we present a controllable strategy for directional flow on a multiscale two-face prism array, one face is smooth and the other face is roughened. The polymeric surface of the prism is roughened by oxygen plasma while the other side is blocked by a coated metal film. With the designed structure, we demonstrate a unidirectional liquid flow and manipulate the flow speed in an open channel. From a simplified model suggested here, the flow speed could be predicted quantitatively.