Shape memory polymer surfaces with controllable roughness for multiscale switchable dry adhesion

Switchable control of adhesion is an important feature of many desired applications such as robotic manipulation, medical adhesives, and scalable microassembly. We present the study of the switchable dry adhesion of a shape memory polymer surface comprising nanotips which is based on not only overcoming but also exploiting the adhesion paradox, i.e., controlling surface roughness via the shape memory effect. Here, densely packed sharp nanotips causing an initial high surface roughness are flattened upon heating, pressing and cooling to provide a low surface roughness leading to a strong adhesion. However, the flattened nanotips restore their original shape upon reheating to cause a high surface roughness back resulting in a weak adhesion with the adhesion switchability of more than three orders of magnitude. These switchable adhesion capabilities are demonstrated in a variety of applications ranging from macro-scale robotic pick-and-place and fabric adhesives to deterministic micro-scale device-grade silicon platelet transfer and microLED assembly.

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Publication Details

Journal
Nature Communications
Published
2025-05-28
DOI
https://doi.org/10.1038/s41467-025-60220-7
Citations
14
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
9.44

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article

Shape memory polymer surfaces with controllable roughness for multiscale switchable dry adhesion

Seok Kim, Namjung Kim, Taehyun Yun, Hak Jun Kim et al.
14 citations
Nature Communications
Advanced Sensor and Energy Harvesting Materials
9.44
article

Shape memory polymer surfaces with controllable roughness for multiscale switchable dry adhesion

Seok Kim, Namjung Kim, Taehyun Yun, Hak Jun Kim, ChangHee Son, Yongseok Lee, Jeong Hyeon Kim, Han Eol Lee, Keehoon Kim, Seungbeom Kim
article en
14 citations

Abstract

Switchable control of adhesion is an important feature of many desired applications such as robotic manipulation, medical adhesives, and scalable microassembly. We present the study of the switchable dry adhesion of a shape memory polymer surface comprising nanotips which is based on not only overcoming but also exploiting the adhesion paradox, i.e., controlling surface roughness via the shape memory effect. Here, densely packed sharp nanotips causing an initial high surface roughness are flattened upon heating, pressing and cooling to provide a low surface roughness leading to a strong adhesion. However, the flattened nanotips restore their original shape upon reheating to cause a high surface roughness back resulting in a weak adhesion with the adhesion switchability of more than three orders of magnitude. These switchable adhesion capabilities are demonstrated in a variety of applications ranging from macro-scale robotic pick-and-place and fabric adhesives to deterministic micro-scale device-grade silicon platelet transfer and microLED assembly.

Nature CommunicationsVol. 16(1)
Pohang University of Science and Technology (KR), Gachon University (KR), University of Connecticut (US), Advanced Institute of Convergence Technology (KR), Jeonbuk National University (KR)
National Research Foundation of Korea
Affordable and clean energy
Openalex Percentile: Top 2%
Advanced Sensor and Energy Harvesting Materials
9.44
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Shape memory polymer surfaces with controllable roughness for multiscale switchable dry adhesion — Seok Kim, Namjung Kim, et al. · Nature Communications (2025) | TGRS Research Map | TGRS