Adaptive dry adhesives with tunable morphology via shape memory elastomeric bilayers

Dry adhesives offer appealing advantages such as reusability and clean detachment, yet their performance is fundamentally constrained by the trade-off between adhesion strength and fracture toughness. In this work, we present adaptive bilayer dry adhesives that integrate a thin, compliant elastomeric polydimethylsiloxane (PDMS) surface with a stiff shape memory polymer (SMP) backing layer. While the SMP layer enables shape programming through its rubber-to-glass transition, the PDMS layer suppresses catastrophic adhesive failure and preserves adhesion. Finite element analysis results reveal that the programmed bilayer surface forms extensive interfacial contact with minimal preload, outperforming conventional elastomeric adhesives. Adhesion tests further demonstrate that the bilayer achieves nearly ten-fold higher adhesion compared to PDMS, while maintaining greater detachment toughness relative to SMP, thereby alleviating the inherent trade-off. Moreover, the bilayer’s shape programming capability enables stable and repeatable adhesion to curved surfaces without requiring additional rubber-to-glass transitions. For practical demonstrations, we fabricated an integrated heater-assisted adhesive hook capable of supporting a 2 kg load on diverse wall surfaces, with reversible and reusable operation. This bilayer adhesive strategy provides a generalized design principle to overcome the incompatibility between adhesion and toughness, offering strong potential for applications in soft robotics, wearable systems, and transfer printing.

Authors

Institutions

Publication Details

Journal
International Journal of Smart and Nano Materials
Published
2025-10-02
DOI
https://doi.org/10.1080/19475411.2025.2594009
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptive dry adhesives with tunable morphology via shape memory elastomeric bilayers

Woo Seok Kim, Seok Kim, Junhyung Kim
International Journal of Smart and Nano Materials
Adhesion, Friction, and Surface Interactions
article

Adaptive dry adhesives with tunable morphology via shape memory elastomeric bilayers

Woo Seok Kim, Seok Kim, Junhyung Kim
article en

Abstract

Dry adhesives offer appealing advantages such as reusability and clean detachment, yet their performance is fundamentally constrained by the trade-off between adhesion strength and fracture toughness. In this work, we present adaptive bilayer dry adhesives that integrate a thin, compliant elastomeric polydimethylsiloxane (PDMS) surface with a stiff shape memory polymer (SMP) backing layer. While the SMP layer enables shape programming through its rubber-to-glass transition, the PDMS layer suppresses catastrophic adhesive failure and preserves adhesion. Finite element analysis results reveal that the programmed bilayer surface forms extensive interfacial contact with minimal preload, outperforming conventional elastomeric adhesives. Adhesion tests further demonstrate that the bilayer achieves nearly ten-fold higher adhesion compared to PDMS, while maintaining greater detachment toughness relative to SMP, thereby alleviating the inherent trade-off. Moreover, the bilayer’s shape programming capability enables stable and repeatable adhesion to curved surfaces without requiring additional rubber-to-glass transitions. For practical demonstrations, we fabricated an integrated heater-assisted adhesive hook capable of supporting a 2 kg load on diverse wall surfaces, with reversible and reusable operation. This bilayer adhesive strategy provides a generalized design principle to overcome the incompatibility between adhesion and toughness, offering strong potential for applications in soft robotics, wearable systems, and transfer printing.

International Journal of Smart and Nano MaterialsVol. 16(4)
Pohang University of Science and Technology (KR), Yonsei University (KR)
Openalex Percentile: Top 59%
Adhesion, Friction, and Surface Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Adaptive dry adhesives with tunable morphology via shape memory elastomeric bilayers — Woo Seok Kim, Seok Kim, et al. · International Journal of Smart and Nano Materials (2025) | TGRS Research Map | TGRS