Reconfigurable 3D-printed 1-bit coding metasurface for simultaneous acoustic focusing and energy harvesting at low-frequency regime

被引:0
|
作者
Yaw, Zoe [1 ]
Zhang, Yiting [1 ]
Liu, Changning [1 ,3 ]
Chen, Zhaolin [1 ]
Ni, Yi-Qing [1 ,2 ]
Lai, Siu-Kai [1 ,2 ]
机构
[1] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Natl Rail Transit Electrificat & Automat Engn Tech, Hong Kong Branch, Hong Kong, Peoples R China
[3] JiangSu Univ, Automot Engn Res Inst, Sch Automot & Traff Engn, Zhenjiang, Peoples R China
关键词
Coding metasurface; 3D printing; Acoustic focusing; Energy harvesting; Low frequency;
D O I
10.1016/j.nanoen.2025.110874
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
This study explores the development of a reconfigurable 3D-printed 1-bit coding space-coiling metasurface, which integrates a triboelectric nanogenerator (TENG) to achieve low-frequency acoustic focusing and energy harvesting. By controlling the effective acoustic path, the proposed metasurface is able to achieve effective acoustic manipulation using binary coding units with opposite phase responses. The transmission efficiency and phase shift of the coding units are validated by analytical and numerical models, as well as experimental results from 3D-printed units made with photosensitive resin via stereolithography. The proposed metasurface has demonstrated arbitrary acoustic focusing at low frequencies (i.e., 600-900 Hz) by reconfiguring its coding units into designated coding sequences. The enhanced performance of acoustic energy harvesting through the integration of the metasurface with a resonator-free TENG device has demonstrated the crucial role of the metasurface in facilitating efficient energy harvesting through effective wave focusing. The findings presented here could offer important insights for creating advanced acoustic devices and potential applications that serve a dual purpose: controlling sound while harvesting energy from ambient environments.
引用
收藏
页数:16
相关论文
共 8 条
  • [1] 3D-printed phononic crystal lens for elastic wave focusing and energy harvesting
    Tol, S.
    Degertekin, F. L.
    Erturk, A.
    ADDITIVE MANUFACTURING, 2019, 29
  • [2] 3D-Printed Metasurface Units for Potential Energy Harvesting Applications at the 2.4 GHz Frequency Band
    Viskadourakis, Z.
    Tamiolakis, E.
    Tsilipakos, O.
    Tasolamprou, A. C.
    Economou, E. N.
    Kenanakis, G.
    CRYSTALS, 2021, 11 (09)
  • [3] Composite 3D-printed metastructures for low-frequency and broadband vibration absorption
    Matlack, Kathryn H.
    Bauhofer, Anton
    Krodel, Sebastian
    Palermo, Antonio
    Daraio, Chiara
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (30) : 8386 - 8390
  • [4] A Model for Performance Evaluation of Low-Frequency 3D-Printed Electronic Filters
    Esposito, Paolo
    Barile, Gianluca
    Stornelli, Vincenzo
    Ferri, Giuseppe
    2024 9TH INTERNATIONAL CONFERENCE ON SMART AND SUSTAINABLE TECHNOLOGIES, SPLITECH 2024, 2024,
  • [5] 3D-printed multifunctional chiral metamaterial with invariant sound absorption under large deformation and low-frequency vibration control
    Xu, Jingjian
    Song, Xiang
    Zhao, Boyang
    Yang, Hanjie
    Sui, Dan
    Zhou, Jie
    Xiao, Heye
    VIRTUAL AND PHYSICAL PROTOTYPING, 2024, 19 (01)
  • [6] A 3D-printed quasi-zero-stiffness isolator for low-frequency vibration isolation: Modelling and experiments
    Xiao, Lei
    Sun, Xiang
    Cheng, Li
    Yu, Xiang
    JOURNAL OF SOUND AND VIBRATION, 2024, 577
  • [7] 3D-printed materials based low-speed permanent magnet generator for energy harvesting applications
    Soemphol, C.
    Angkawisittpan, N.
    MATERIALS TODAY-PROCEEDINGS, 2020, 22 : 180 - 184
  • [8] Piezoelectric energy harvester with tip 3D-printed bi-stable asymmetric raceway for effective harvesting of ultralow-frequency and low-level vibration energy
    Zhang, Hai-bin
    Chen, Yuan-bo
    Li, Kang-kang
    Wang, Yu-fei
    Wang, Guang-qing
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 224