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Switchable Friction Coefficient on Shape Memory Photonic Crystals

Published online by Cambridge University Press:  23 March 2020

Yifan Zhang ,
Xingyi Lyu ,
Yongliang Ni ,
Diyang Li ,
Sin-Yen Leo ,
Yinong Chen ,
Peng Jiang  and
Curtis R. Taylor
Yifan Zhang
Affiliation:
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Xingyi Lyu
Affiliation:
Department of Chemical Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Yongliang Ni
Affiliation:
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Diyang Li
Affiliation:
Department of Chemical Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Sin-Yen Leo
Affiliation:
Department of Chemical Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Yinong Chen
Affiliation:
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Peng Jiang
Affiliation:
Department of Chemical Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
Curtis R. Taylor*
Affiliation:
Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, 32611, U.S.A.
*
*(Email: curtis.taylor@ufl.edu)
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Abstract

Intelligent control of friction and adhesion has attracted much attention for use in soft robotics, human-sensor interfaces, and bionics. Here we introduce a shape memory photonic crystal (SMPC) polymer that can be programmed and recovered by solvent to realize switchable surface friction. Micro sliding test show that the friction coefficient on this SMPC in the programmed and recovered state can vary by three times. We also show that the mechanism behind this switchable friction coefficient is the surface roughness related adhesion.

Keywords

shape memorytribologyadhesionphotonic

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Type
Articles
Information
MRS Advances , Volume 5 , Issue 14-15: Soft Materials and Biomaterials , 2020 , pp. 757 - 763
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Copyright © Materials Research Society 2020

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References

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