• DocumentCode
    414253
  • Title

    Geometric binding site design for surface-tension driven self-assembly

  • Author

    Xiong, Xiaorong ; Liang, Sheng-Hsiung ; Bohringer, Karl F.

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    April 26-May 1, 2004
  • Firstpage
    1141
  • Abstract
    Surface-tension driven self-assembly techniques have been successfully employed to assemble and align micro parts on hydrophobic binding sites on a substrate. The driving force for assembly is provided by a liquid lubricant meniscus confined between two hydrophobic surfaces in an aqueous environment. Therefore, the hydrophobic pattern design becomes a critical issue for the self-assembly process. With an ideal design, the part can assemble in a unique position and orientation. In this paper, we study a series of geometric designs based on a first-order approximation energy model. An optimization method is developed to evaluate them, and a class of optimal designs is found consisting of asymmetric rings with additional geometric constraints.
  • Keywords
    lubricants; microassembling; micromechanical devices; optimisation; self-assembly; surface energy; surface tension; aqueous environment; asymmetric rings; driving force; first order approximation energy model; geometric binding site design; geometric constraints; hydrophobic binding sites; hydrophobic pattern design; hydrophobic surfaces; liquid lubricant meniscus; microparts; optimal designs; optimization method; substrate; surface tension driven self assembly process; Assembly; Hydrocarbons; Light emitting diodes; Lubricants; Micromechanical devices; Optimization methods; Self-assembly; Shape control; Solid modeling; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307978
  • Filename
    1307978