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Elastocapillary Crease.
Liu, Qihan; Ouchi, Tetsu; Jin, Lihua; Hayward, Ryan; Suo, Zhigang.
Affiliation
  • Liu Q; John A. Paulson School of Engineering and Applied Sciences, Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, Massachusetts 02138, USA.
  • Ouchi T; Department of Polymer Science & Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA.
  • Jin L; Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.
  • Hayward R; Department of Polymer Science & Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA.
  • Suo Z; John A. Paulson School of Engineering and Applied Sciences, Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, Massachusetts 02138, USA.
Phys Rev Lett ; 122(9): 098003, 2019 Mar 08.
Article in En | MEDLINE | ID: mdl-30932551
ABSTRACT
A material under compression often forms creases. When the material is elastic and soft, the nucleation of creases depends on both elasticity and capillarity. Here we introduce a model of elastocapillary creases. The model assumes that the surface tension remains constant on the free surface, but may change upon self-contact. In particular, surface tension vanishes upon self-contact for a pristine surface of elastomers and gels. The model predicts that the nucleation of creases depends on the sizes of surface defects relative to the elastocapillary length, and happens over a well-defined range of strains, instead of a specific strain. The loss of surface tension upon self-contact lowers the energy barrier for nucleation, and widens the range of nucleation strains for materials of any thickness relative to the elastocapillary length. We test this model by conducting experiments with materials of various elastocapillary lengths, along with the data available in the literature.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Phys Rev Lett Year: 2019 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Phys Rev Lett Year: 2019 Type: Article Affiliation country: United States