Aloe Leaves‐Inspired Multi‐Stimuli Bidirectional Bending Self‐Sensing Actuator for Smart Solar Panel

Soft actuators with multi-stimuli response have shown promising applications in soft intelligent robots. However, most soft actuators are limited by the unidirectional actuation and self-perception capabilities. Here, a bilayer self-sensing actuator with bidirectional actuation is proposed, which showed exceptional bidirectional actuation, self-sensing of temperature and moisture, and smart solar panel. The actuator layer consisted of the powerful hygroscopic sensitivity of poly(vinyl alcohol) (PVA), poly(sodium styrene sulfonate) (PSS), and the conductive carbon black (CB). The structural layer is hydrophobic polyurea (PUU). The bilayer self-sensing actuator is bent to one side under NIR or temperature stimulation (curvature reaches 3.8 cm<sup>-1</sup>) and bent to opposite side with moisture stimulation (curvature reaches -4.6 cm<sup>-1</sup>). Moreover, various bionic robots, weightlifting, and selective grasping robots are demonstrated. Simultaneously, owing to CB gradient, the bilayer sensing actuators can detect movement in different bending directions with a fast response speed (82 ms). In addition, when moisture increased, the smart solar panel bent to downward and cleaned the debris. Upon the sunshine, the smart solar panel faced to sun and maximized power output. More interestingly, the smart solar panel can monitor its bending degree and orientation. The proposed bilayer self-sensing actuator paved the way for advancements in artificial intelligence robots.

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Publication Details

Journal
Small
Published
2024-12-20
DOI
https://doi.org/10.1002/smll.202410244
Citations
10
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
2.13

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article

Aloe Leaves‐Inspired Multi‐Stimuli Bidirectional Bending Self‐Sensing Actuator for Smart Solar Panel

Yan Zong, Yuhao Tang, Qunna Xu, Kai Yan et al.
10 citations
Small
Advanced Materials and Mechanics
2.13
article

Aloe Leaves‐Inspired Multi‐Stimuli Bidirectional Bending Self‐Sensing Actuator for Smart Solar Panel

Yan Zong, Yuhao Tang, Qunna Xu, Kai Yan, Xiaodan Sun
article en
10 citations

Abstract

Soft actuators with multi-stimuli response have shown promising applications in soft intelligent robots. However, most soft actuators are limited by the unidirectional actuation and self-perception capabilities. Here, a bilayer self-sensing actuator with bidirectional actuation is proposed, which showed exceptional bidirectional actuation, self-sensing of temperature and moisture, and smart solar panel. The actuator layer consisted of the powerful hygroscopic sensitivity of poly(vinyl alcohol) (PVA), poly(sodium styrene sulfonate) (PSS), and the conductive carbon black (CB). The structural layer is hydrophobic polyurea (PUU). The bilayer self-sensing actuator is bent to one side under NIR or temperature stimulation (curvature reaches 3.8 cm<sup>-1</sup>) and bent to opposite side with moisture stimulation (curvature reaches -4.6 cm<sup>-1</sup>). Moreover, various bionic robots, weightlifting, and selective grasping robots are demonstrated. Simultaneously, owing to CB gradient, the bilayer sensing actuators can detect movement in different bending directions with a fast response speed (82 ms). In addition, when moisture increased, the smart solar panel bent to downward and cleaned the debris. Upon the sunshine, the smart solar panel faced to sun and maximized power output. More interestingly, the smart solar panel can monitor its bending degree and orientation. The proposed bilayer self-sensing actuator paved the way for advancements in artificial intelligence robots.

SmallVol. 21(6)
Shaanxi University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province
Affordable and clean energy
Openalex Percentile: Top 13%
Advanced Materials and Mechanics
2.13
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Aloe Leaves‐Inspired Multi‐Stimuli Bidirectional Bending Self‐Sensing Actuator for Smart Solar Panel — Yan Zong, Yuhao Tang, et al. · Small (2024) | TGRS Research Map | TGRS