Four-dimensional printed hierarchical mechanical metamaterials with piezoelectric sensing function integration

This work presents a hierarchical 4D-printed mechanical metamaterial with reconfigurable, nonlinear mechanical behavior. An analytical framework is developed to predict its effective mechanical properties, demonstrating good agreement with finite-element simulations and experimental measurements. The metamaterial exhibits biomimetic, J-shaped stress-strain curves, indicating enhanced flexibility and compliance desirable for deployable structures. Moreover, the auxetic metamaterials achieve negative Poisson’s ratios with high stretchability, thereby expanding the operational domain of metamaterials. Furthermore, these metamaterials are integrated with flexible piezoelectric electrodes to enable a self-sensing function. Experiments demonstrate that the proposed self-sensing metamaterials are capable of accurately sensing pressure signals while maintaining high flexibility and conformal contact. Owing to the thermally activated shape-memory effects of the metamaterial skeleton, the device allows reversible reconfiguration of mechanical and sensing responses under external stimuli. These results highlight the potential of self-sensing metamaterials for deployable space structures, morphing aircraft, and wearable electronics.

Authors

Institutions

Publication Details

Journal
Journal of Intelligent Material Systems and Structures
Published
2026-05-12
DOI
https://doi.org/10.1177/1045389x261445520
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Four-dimensional printed hierarchical mechanical metamaterials with piezoelectric sensing function integration

Y W Liu, Chengjun Zeng, Xu Liu, Liwu Liu et al.
Journal of Intelligent Material Systems and Structures
Cellular and Composite Structures
article

Four-dimensional printed hierarchical mechanical metamaterials with piezoelectric sensing function integration

Y W Liu, Chengjun Zeng, Xu Liu, Liwu Liu, Jinsong Leng, Haobo Wang, Baoming Wang, Nan Li
article en

Abstract

This work presents a hierarchical 4D-printed mechanical metamaterial with reconfigurable, nonlinear mechanical behavior. An analytical framework is developed to predict its effective mechanical properties, demonstrating good agreement with finite-element simulations and experimental measurements. The metamaterial exhibits biomimetic, J-shaped stress-strain curves, indicating enhanced flexibility and compliance desirable for deployable structures. Moreover, the auxetic metamaterials achieve negative Poisson’s ratios with high stretchability, thereby expanding the operational domain of metamaterials. Furthermore, these metamaterials are integrated with flexible piezoelectric electrodes to enable a self-sensing function. Experiments demonstrate that the proposed self-sensing metamaterials are capable of accurately sensing pressure signals while maintaining high flexibility and conformal contact. Owing to the thermally activated shape-memory effects of the metamaterial skeleton, the device allows reversible reconfiguration of mechanical and sensing responses under external stimuli. These results highlight the potential of self-sensing metamaterials for deployable space structures, morphing aircraft, and wearable electronics.

Journal of Intelligent Material Systems and Structures
Harbin Institute of Technology (CN), Max Planck Institute for Intelligent Systems (DE), Weihai Science and Technology Bureau (CN)
Natural Science Foundation of Heilongjiang Province, Postdoctoral Research Foundation of China
Openalex Percentile: Top 8%
Cellular and Composite Structures
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.

Four-dimensional printed hierarchical mechanical metamaterials with piezoelectric sensing function integration — Y W Liu, Chengjun Zeng, et al. · Journal of Intelligent Material Systems and Structures (2026) | TGRS Research Map | TGRS