Mechanically strengthened silicone-based origami structures via hierarchical interfacial shrink fitting

Soft structured materials-e.g., silicone-based elastomer, capable of programmable morphologies and mechanical strength-are promising for high-performance structure construction in metamaterials and soft robots. However, once prototyped, polydimethylsiloxane (PDMS)-based silicone elastomer is limited in mechanical strength and programmable spatial construction due to the flexible polymer matrix and mismatched interface with other materials. We propose a mechanically strengthened PDMS-based origami structure (MSOS) via polymethyl methacrylate (PMMA)/acetone solution swelling. The planar elastomer precursor can be swollen-folded into programmable spatial construction based on mechanically strengthened creases during solvent diffusion and de-gelatinization. This strengthened crease is induced by a hierarchical shrink-fitting based on solute molecular chain insertion and a seamless coupling interface between elastomer microstructures and solidified PMMA. We present a programmable MSOS to support a load more than 58,100 times of its own weight and a pillbug-inspired ringbot to resist heavy impact. Our work provides a strategy toward customized mechanically strengthened soft material for developing functional structural architectures and soft origami robots.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-10-08
DOI
https://doi.org/10.1126/sciadv.adz8940
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mechanically strengthened silicone-based origami structures via hierarchical interfacial shrink fitting

Zhigang Wu, Zhiping Chai, Jinhao Zhang, Shuo Zhang et al.
Science Advances
Advanced Materials and Mechanics
article

Mechanically strengthened silicone-based origami structures via hierarchical interfacial shrink fitting

Zhigang Wu, Zhiping Chai, Jinhao Zhang, Shuo Zhang, Han Ding, Xingxing Ke, Zisheng Zong, Kan Li, Zhuang Zhang, Haocheng Yong
article en

Abstract

Soft structured materials-e.g., silicone-based elastomer, capable of programmable morphologies and mechanical strength-are promising for high-performance structure construction in metamaterials and soft robots. However, once prototyped, polydimethylsiloxane (PDMS)-based silicone elastomer is limited in mechanical strength and programmable spatial construction due to the flexible polymer matrix and mismatched interface with other materials. We propose a mechanically strengthened PDMS-based origami structure (MSOS) via polymethyl methacrylate (PMMA)/acetone solution swelling. The planar elastomer precursor can be swollen-folded into programmable spatial construction based on mechanically strengthened creases during solvent diffusion and de-gelatinization. This strengthened crease is induced by a hierarchical shrink-fitting based on solute molecular chain insertion and a seamless coupling interface between elastomer microstructures and solidified PMMA. We present a programmable MSOS to support a load more than 58,100 times of its own weight and a pillbug-inspired ringbot to resist heavy impact. Our work provides a strategy toward customized mechanically strengthened soft material for developing functional structural architectures and soft origami robots.

Science AdvancesVol. 11(41)
Zhejiang International Studies University (CN), National University of Defense Technology (CN), Fudan University (CN), Huazhong University of Science and Technology (CN), Fuzhou University (CN)
Openalex Percentile: Top 71%
Advanced Materials and Mechanics
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.