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Biomechanical Energy Harvesting: Materials, Methods and Applications

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Energy Materials".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 2160

Special Issue Editors


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Guest Editor
Department of Civil Engineering, Zhejiang University, Hangzhou 310058, China
Interests: mechanics and modeling of smart materials and structures

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Guest Editor
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Interests: nonlinear vibration; vibration control; surface and interface mechanics; MEMS/NEMS; vibration energy harvesting

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Guest Editor
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
Interests: seismic design; fatigue of steel structural component; dynamic analysis of bridges; smart sensing technologies; AI based identification of structural parameters
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Special Issue Information

Dear Colleagues,

Biomechanical energy harvesting, which refers to harvest mechanical energy from motions of bio-organs in daily activities, has been widely explored in recent years due to its potential to provide electricity for implanted medical devices and wearable electronics. To date, various elaborately designed human-friendly energy harvesters with high flexibility and biocompatibility has been fabricated to harvest biomechanical energy from limb and organ movements. Currently, novel materials with breakthrough fabrication methods have been proposed with tremendous enthusiasm for emerging applications. This special issue aims to collect latest original research or review articles on materials, methods and applications in biomechanical energy harvesting to instantiate recent trends and challenges on this topic. Interests of the special issue cover across a broad range of biomechanical energy sources including walking, arm swinging, cardiac motion, respiration and blood circulation etc. Specially, the following topics, but not limited to, are sought.

  • Novel materials for biomechanical energy harvesting
  • Piezoelectric/pyroelectric energy harvesting
  • Triboelectric energy harvesting
  • Electromagnetic energy harvesting
  • Bio-inspired energy harvesting
  • Energy harvesting for implantable medical devices
  • Energy harvesting for wearable sensors
  • Experiments, modelling or computations in biomechanical energy harvesting

Prof. Dr. Chaofeng LÜ
Prof. Dr. Wen-Ming Zhang
Prof. Dr. He Zhang
Guest Editors

Manuscript Submission Information

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Keywords

  • biomechanical energy harvesting
  • biomedical application
  • implantable devices
  • wearable electronics

Published Papers (1 paper)

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Research

12 pages, 3102 KiB  
Article
A Self-Powered Triboelectric Nanogenerator Based on Intelligent Interactive System for Police Shooting Training Monitoring and Virtual Reality Interaction
by Songyang Li, Changjun Jia, Fengxin Sun and Yongsheng Zhu
Materials 2022, 15(18), 6228; https://doi.org/10.3390/ma15186228 - 08 Sep 2022
Cited by 1 | Viewed by 1729
Abstract
A self-powered triboelectric nanogenerator (SPTENG) based on triboelectric effect and an intelligent interactive system are fabricated for monitoring shooting training and virtual training. The SPTENG is composed of latex and PTFE and an intelligent system. Based on triboelectric effect, the SPTENG can be [...] Read more.
A self-powered triboelectric nanogenerator (SPTENG) based on triboelectric effect and an intelligent interactive system are fabricated for monitoring shooting training and virtual training. The SPTENG is composed of latex and PTFE and an intelligent system. Based on triboelectric effect, the SPTENG can be used to monitor the progress of trigger pressing without a power supply (this is supplied by trigger movements). Because of the flexible properties, it can be attached to a trigger conveniently to monitor the progress of trigger pressing, such as trigger time, trigger stability, etc. Meanwhile, as part of an intelligent shooting system, police can formulate a standard scheme according to signals to improve their skills. Furthermore, they can use it to train between reality and virtuality. Therefore, it has a wide development space in human–computer interaction and real-time information processing. Full article
(This article belongs to the Special Issue Biomechanical Energy Harvesting: Materials, Methods and Applications)
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