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Comprehensive Analysis on Wrinkled Patterns Generated by Inflation and Contraction of Spherical Voids

  • Lim, Min-Cheol (Graduate School of Biotechnology & Department of Food Science and Biotechnology, Kyung Hee University) ;
  • Park, Jaeyoon (Department of Materials Science and Engineering, Pohang University of Science and Technology) ;
  • Jung, Ji-Hoon (Graduate School of Biotechnology & Department of Food Science and Biotechnology, Kyung Hee University) ;
  • Kim, Bongsoo (Department of Materials Science and Engineering, Pohang University of Science and Technology) ;
  • Kim, Young-Rok (Graduate School of Biotechnology & Department of Food Science and Biotechnology, Kyung Hee University) ;
  • Jeong, Unyong (Department of Materials Science and Engineering, Pohang University of Science and Technology)
  • Received : 2017.01.16
  • Accepted : 2017.06.27
  • Published : 2018.10.01

Abstract

We comprehensively investigated the wrinkles of a stiff layer covering a spherical void embedded in a rubber matrix after the void experienced inflation or contraction. We developed an easy experimental way to realize the inflation and contraction of the voids. The inflation took place in a void right beneath the surface of the matrix and the contraction happened in a void at the bottom of the rubber matrix. In the inflation, the wrinkle at the center of the deformation was random, and the pattern propagated into rabyrinthine, herringbone, and then oriented parallel lines as the position was away from the center of the inflation to the edge. The cracks were concentric, which were perpendicular to the parallel wrinkled pattern. In the contraction, the wrinkle was simply concentric around the surface of the void without any crack. The cracks were found only near the center of the deformation. The strain distribution in the stiff layer after the inflation and contraction was theoretically analyzed with simulations that were in excellent agreement with the experimental results.

Keywords

Acknowledgement

Grant : Development of robotic manipulation algorithm for grasping/assembling with the machine learning using visual and tactile sensing information

Supported by : National Research Foundation of Korea, Ministry of Trade, Industry & Energy (MOTIE), Seoul Olympic Sports Promotion Foundation

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