Header logo is pi

Experimental investigation of optimal adhesion of mushroomlike elastomer microfibrillar adhesives




Optimal fiber designs for the maximal pull-off force have been indispensable for increasing the attachment performance of recently introduced gecko-inspired reversible micro/nanofibrillar adhesives. There are several theoretical studies on such optimal designs; however, due to the lack of three-dimensional (3D) fabrication techniques that can fabricate such optimal designs in 3D, there have not been many experimental investigations on this challenge. In this study, we benefitted from recent advances in two-photon lithography techniques to fabricate mushroomlike polyurethane elastomer fibers with different aspect ratios of tip to stalk diameter (β) and tip wedge angles (θ) to investigate the effect of these two parameters on the pull-off force. We found similar trends to those predicted theoretically. We found that β has an impact on the slope of the force-displacement curve while both β and θ play a role in the stress distribution and crack propagation. We found that these effects are coupled and the optimal set of parameters also depends on the fiber material. This is the first experimental verification of such optimal designs proposed for mushroomlike microfibers. This experimental approach could be used to evaluate a wide range of complex microstructured adhesive designs suggested in the literature and optimize them.

Author(s): Marvi, Hamidreza and Song, Sukho and Sitti, Metin
Journal: Langmuir
Volume: 31
Number (issue): 37
Pages: 10119--10124
Year: 2015
Month: August
Day: 31
Publisher: American Chemical Society

Department(s): Physical Intelligence
Bibtex Type: Article (article)

DOI: 10.1021/acs.langmuir.5b02415


  title = {Experimental investigation of optimal adhesion of mushroomlike elastomer microfibrillar adhesives},
  author = {Marvi, Hamidreza and Song, Sukho and Sitti, Metin},
  journal = {Langmuir},
  volume = {31},
  number = {37},
  pages = {10119--10124},
  publisher = {American Chemical Society},
  month = aug,
  year = {2015},
  month_numeric = {8}