Modeling of Photodynamic Self-Oscillation Based on a Suspended Liquid Crystal Elastomer Ball System

Self-oscillation enables continuous motion by transforming constant external stimuli into mechanical work, eliminating the necessity for supplementary control systems. This holds considerable promise in domains like actuators, wearable devices and biomedicine. In the current study, a novel suspended liquid crystal elastomer (LCEs) ball system consisting of a light-responsive hollow LCE ball and an air blower is constructed. Stable illumination allows for its continuous periodic oscillation. Drawing from the theoretical model in conjunction with the dynamic LCE model, the control equations for the system are established, and its dynamic motion characteristics are explored from theoretical viewpoint. The numerical calculations suggest that two motion patterns are present, i.e., hovering and self-oscillatory patterns. The critical conditions required to initiate the transition between two motion patterns are quantified for different system parameters. As evidenced by the outcomes, manipulating the light intensity, damping coefficient, contraction coefficient, air density, gravitational acceleration, bottom illumination zone height, characteristic coefficient and vertical wind speed at the blower outlet facilitates precise control over the motion patterns as well as the amplitude and frequency. With its simple structure, customizable dimensions, remote activation and active manipulation, this system may potentially change the design approach for energy harvesting, microsensors and aerial vehicles.

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Publication Details

Journal
Polymers
Published
2024-11-07
DOI
https://doi.org/10.3390/polym16223119
Citations
2
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.43

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article

Modeling of Photodynamic Self-Oscillation Based on a Suspended Liquid Crystal Elastomer Ball System

Yuntong Dai, Leilei Li, Jun Zhao
2 citations
Polymers
Advanced Materials and Mechanics
0.43
article

Modeling of Photodynamic Self-Oscillation Based on a Suspended Liquid Crystal Elastomer Ball System

Yuntong Dai, Leilei Li, Jun Zhao
article en
2 citations

Abstract

Self-oscillation enables continuous motion by transforming constant external stimuli into mechanical work, eliminating the necessity for supplementary control systems. This holds considerable promise in domains like actuators, wearable devices and biomedicine. In the current study, a novel suspended liquid crystal elastomer (LCEs) ball system consisting of a light-responsive hollow LCE ball and an air blower is constructed. Stable illumination allows for its continuous periodic oscillation. Drawing from the theoretical model in conjunction with the dynamic LCE model, the control equations for the system are established, and its dynamic motion characteristics are explored from theoretical viewpoint. The numerical calculations suggest that two motion patterns are present, i.e., hovering and self-oscillatory patterns. The critical conditions required to initiate the transition between two motion patterns are quantified for different system parameters. As evidenced by the outcomes, manipulating the light intensity, damping coefficient, contraction coefficient, air density, gravitational acceleration, bottom illumination zone height, characteristic coefficient and vertical wind speed at the blower outlet facilitates precise control over the motion patterns as well as the amplitude and frequency. With its simple structure, customizable dimensions, remote activation and active manipulation, this system may potentially change the design approach for energy harvesting, microsensors and aerial vehicles.

PolymersVol. 16(22)
Anhui Jianzhu University (CN)
University Natural Science Research Project of Anhui Province
Affordable and clean energy
Openalex Percentile: Top 41%
Advanced Materials and Mechanics
0.43
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Modeling of Photodynamic Self-Oscillation Based on a Suspended Liquid Crystal Elastomer Ball System — Yuntong Dai, Leilei Li, et al. · Polymers (2024) | TGRS Research Map | TGRS