Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/170061
Title: Overcoming the adhesion paradox and switchability conflict on rough surfaces with shape-memory polymers
Authors: Linghu, Changhong
Liu, Yangchengyi
Tan, Yee Yuan
Sing, Marcus Jun Heng
Tang, Yuxuan
Zhou, Aiwu
Wang, Xiufeng
Li, Dong
Gao, Huajian
Hsia, K. Jimmy
Keywords: Engineering::Mechanical engineering
Engineering::Chemical technology
Issue Date: 2023
Source: Linghu, C., Liu, Y., Tan, Y. Y., Sing, M. J. H., Tang, Y., Zhou, A., Wang, X., Li, D., Gao, H. & Hsia, K. J. (2023). Overcoming the adhesion paradox and switchability conflict on rough surfaces with shape-memory polymers. Proceedings of the National Academy of Sciences, 120(13), e2221049120-. https://dx.doi.org/10.1073/pnas.2221049120
Project: T2EP50122- 0001 
002271- 00001 
002479-00001 
RG120/21 
Journal: Proceedings of the National Academy of Sciences 
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.
URI: https://hdl.handle.net/10356/170061
ISSN: 0027-8424
DOI: 10.1073/pnas.2221049120
Schools: School of Mechanical and Aerospace Engineering 
School of Chemical and Biomedical Engineering 
Organisations: Institute of High-Performance Computing, A*STAR 
Rights: © 2023 the Author(s). Published by PNAS. This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY- NC-ND).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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