Overcoming the adhesion paradox and switchability conflict on rough surfaces with shape-memory polymers

Changhong Linghu, Yangchengyi Liu, Yee Yuan Tan, Jun Heng Marcus Sing, Yuxuan Tang, Aiwu Zhou, Xiufeng Wang, Dong Li, Huajian Gao*, K. Jimmy Hsia*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

87 Citations (Scopus)

Abstract

Smart adhesives that can be applied and removed on demand play an important role in modern life and manufacturing. However, current smart adhesives made of elastomers suffer from the long-standing challenges of the adhesion paradox (rapid decrease in adhesion strength on rough surfaces despite adhesive molecular interactions) and the switchability conflict (trade-off between adhesion strength and easy detachment). Here, we report the use of shape-memory polymers (SMPs) to overcome the adhesion paradox and switchability conflict on rough surfaces. Utilizing the rubbery–glassy phase transition in SMPs, we demonstrate, through mechanical testing and mechanics modeling, that the conformal contact in the rubbery state followed by the shape-locking effect in the glassy state results in the so-called rubber-to-glass (R2G) adhesion (defined as making contact in the rubbery state to a certain indentation depth followed by detachment in the glassy state), with extraordinary adhesion strength (>1 MPa) proportional to the true surface area of a rough surface, overcoming the classic adhesion paradox. Furthermore, upon transitioning back to the rubbery state, the SMP adhesives can detach easily due to the shape-memory effect, leading to a simultaneous improvement in adhesion switchability (up to 103, defined as the ratio of the SMP R2G adhesion to its rubbery-state adhesion) as the surface roughness increases. The working principle and the mechanics model of R2G adhesion provide guidelines for developing stronger and more switchable adhesives adaptable to rough surfaces, thereby enhancing the capabilities of smart adhesives, and impacting various fields such as adhesive grippers and climbing robots. Copyright © 2023 the Author(s). Published by PNAS.
Original languageEnglish
Article numbere2221049120
JournalProceedings of the National Academy of Sciences of the United States of America
Volume120
Issue number13
Online published20 Mar 2023
DOIs
Publication statusPublished - 28 Mar 2023
Externally publishedYes

Funding

We acknowledge financial support by the Ministry of Education (MOE) of Singapore under Academic Research Fund Tier 2 (T2EP50122-0001). C.L. acknowledges a Graduate Research Scholarship supported by the MOE of Singapore. Y.L. acknowledges the scholarship support as Visiting PhD Student from the China Scholarship Council. K.J.H. acknowledges a research start-up grant (002271-00001) from the Nanyang Technological University. H.G. acknowledges a research start-up grant (002479-00001) from the Nanyang Technological University and the Agency for Science, Technology and Research (A*STAR) and the use of the A*STAR Computational Resource Centre, Singapore, and National Supercomputing Centre, Singapore. H.G. and D.L. also acknowledge support from the MOE of Singapore AcRF Tier 1 (Grant RG120/21).

Research Keywords

  • adhesion paradox
  • rough surfaces
  • shape-memory polymer
  • smart adhesives
  • switchability conflict

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