Theoretical Modeling of Light-Fueled Self-Harvesting in Piezoelectric Beams Actuated by Liquid Crystal Elastomer Fibers
Traditional energy harvesting systems, such as photovoltaics and wind power, often rely on external environmental conditions and are typically associated with contact-based vibration wear and bulky structures. This study introduces light-fueled self-vibration to propose a self-harvesting system, consisting of liquid crystal elastomer fibers, two resistors, and two piezoelectric cantilever beams arranged symmetrically. Based on the photothermal temperature evolution, we derive the governing equations of the liquid crystal elastomer fiber–piezoelectric beam system. Two distinct states, namely a self-harvesting state and a static state, are revealed through numerical simulations. The self-oscillation results from light-induced cyclic contraction of the liquid crystal elastomer fibers, driving beam bending, stress generation in the piezoelectric layer, and voltage output. Additionally, the effects of various system parameters on amplitude, frequency, voltage, and power are analyzed in detail. Unlike traditional vibration energy harvesters, this light-fueled self-harvesting system features a compact structure, flexible installation, and ensures continuous and stable energy output. Furthermore, by coupling the light-responsive LCE fibers with piezoelectric transduction, the system provides a non-contact actuation mechanism that enhances durability and broadens potential application scenarios.
Authors
- Dali Ge (ORCID: https://orcid.org/0000-0002-3611-4996)
- Lin Zhou (ORCID: https://orcid.org/0000-0002-3816-4428)
- Ting Gao (ORCID: https://orcid.org/0000-0001-5360-1019)
- Haiming Chen (ORCID: https://orcid.org/0000-0001-7443-378X)
- Wu Bao (ORCID: https://orcid.org/0000-0002-6878-525X)
- Xuehui Chen (ORCID: https://orcid.org/0000-0003-3751-2221)
Institutions
- Anhui Jianzhu University (CN)
Publication Details
- Journal
- Mathematics
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3390/math13193226
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Anhui Jianzhu University
- Natural Science Foundation of Anhui Province
- University Natural Science Research Project of Anhui Province