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Surface Adaptable and Adhesion Controllable Dry Adhesive with Shape Memory Polymer.
Lee, Sung Ho; Song, Hyun Woo; Park, Han Jun; Kwak, Moon Kyu.
Afiliação
  • Lee SH; Department of Electrical Electronics and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Song HW; Department of Mechanical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.
  • Park HJ; Department of Mechanical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.
  • Kwak MK; Department of Mechanical Engineering, Kyungpook National University, Daegu, 41566, Republic of Korea.
Macromol Rapid Commun ; 43(8): e2200012, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35132723
Gecko feet consist of numerous micro/nano hierarchical hairs and exhibit a high adhesion onto various surfaces by van der Waals forces. The gecko, despite its mighty adhesion, can travel efficiently with a rapid adhesion switching due to the end of the hairs on the gecko feet are slanted in one direction. Herein, a shape memory polymer (SMP)-based switchable dry adhesive (SSA), inspired by gecko feet, having tremendous surface adaptability and adhesion switching capability, is reported. The SSA shows not only high adhesion to the various surfaces (≈332.8 kPa) but also easy detachment (nearly 3.73 kPa) due to the characteristic of SMP, which can reversibly recover from a deformed shape to its initial shape. On the basis of the novel adhesion switching property, it is suggested the SSA-applied advanced glass transfer system can lead to feasible application. This experiment confirms that an ultrathin and light glass film is transferred easily and sustainably, and it is believed that the SSA may be a breakthrough and a powerful alternative for not only conventional dry adhesives but also the next-level transfer systems.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Materiais Inteligentes / Lagartos Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Materiais Inteligentes / Lagartos Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article