Programmable Helical Hierarchy in Coiled Polymer Artificial Muscles

Simultaneously achieving a large stroke, high payload capacity, and structural programmability in coiled polymer muscles remains challenging due to intrinsic structural and fabrication constraints. Here, we present a multilevel helical fabrication scheme that enables stable, large initial coil pitches and programmable helical hierarchies and chirality within a single polymer fiber, effectively bridging the stroke-payload trade-off and greatly expanding the design space for polymer artificial muscles. Second-order muscles demonstrate superior actuation performance: homochiral muscles achieve a contractile stroke of 88.1% and exhibit a 9-fold increase in payload over first-order muscles at 50% contraction (3.6 vs 0.4 MPa), while heterochiral muscles reach an elongation stroke of 860.7%. Third-order muscles transcend the traditional binary homochiral-heterochiral classification, enabling four chirality combinations with unique actuation modes. A regionally controlled twist-fabrication method allows spatial encoding of the hierarchy and chirality within a single fiber, enabling multifunctional and localized actuation. This programmability is demonstrated in soft and biomimetic robots: a robotic arm driven by a single muscle encoding both flexor and extensor functions, a worm-like robot actuated by regionally inverted chirality within one muscle, and a biomimetic finger combining mixed helical levels to achieve faster and more adaptable wrapping motions.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-12-09
DOI
https://doi.org/10.1021/acsami.5c19885
Citations
2
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable Helical Hierarchy in Coiled Polymer Artificial Muscles

Feihu Song, Yingqing Feng, Jiaqiao Liang, Pengyu Wang et al.
2 citations
ACS Applied Materials & Interfaces
Advanced Materials and Mechanics
1.43
article

Programmable Helical Hierarchy in Coiled Polymer Artificial Muscles

Feihu Song, Yingqing Feng, Jiaqiao Liang, Pengyu Wang, Xiaojie Wang, Boyi Xu, Yitong Zhou, Ziyao Zhang
article en
2 citations

Abstract

Simultaneously achieving a large stroke, high payload capacity, and structural programmability in coiled polymer muscles remains challenging due to intrinsic structural and fabrication constraints. Here, we present a multilevel helical fabrication scheme that enables stable, large initial coil pitches and programmable helical hierarchies and chirality within a single polymer fiber, effectively bridging the stroke-payload trade-off and greatly expanding the design space for polymer artificial muscles. Second-order muscles demonstrate superior actuation performance: homochiral muscles achieve a contractile stroke of 88.1% and exhibit a 9-fold increase in payload over first-order muscles at 50% contraction (3.6 vs 0.4 MPa), while heterochiral muscles reach an elongation stroke of 860.7%. Third-order muscles transcend the traditional binary homochiral-heterochiral classification, enabling four chirality combinations with unique actuation modes. A regionally controlled twist-fabrication method allows spatial encoding of the hierarchy and chirality within a single fiber, enabling multifunctional and localized actuation. This programmability is demonstrated in soft and biomimetic robots: a robotic arm driven by a single muscle encoding both flexor and extensor functions, a worm-like robot actuated by regionally inverted chirality within one muscle, and a biomimetic finger combining mixed helical levels to achieve faster and more adaptable wrapping motions.

ACS Applied Materials & InterfacesVol. 17(51)
Hefei University of Technology (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Guangdong Polytechnic Normal University (CN), Intelligent Health (United Kingdom) (GB), South China University of Technology (CN)
Openalex Percentile: Top 16%
Advanced Materials and Mechanics
1.43
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.