Scholarlink

<p>This work reports a multifunctional, multilayered zigzag-shaped triboelectric nanogenerator (TENG) array developed as a potential candidate for low-cost biomechanical sensing applications. The device was fabricated from alternating Cu and polytetrafluoroethylene (PTFE) layers using straightforward assembly process. A three-unit TENG configuration shows power output of 26.67&#xa0;µW, while a six-unit TENG shows maximum power output of 70.8645&#xa0;µW under a 10&#xa0;MΩ matched load. The feasibility of the device is explored as a conceptual smart floor mat counter to track indoor occupancy by monitoring individuals entering and exiting specific areas. Additionally, experimental studies on tracking knee and arm movements suggest its possible utility in physiotherapy, fall detection, and sports biomechanics. While this study focuses primarily on real-time sensing responses, it may offer a baseline framework for future energy-harvesting integration via circuit and charge-storage optimization.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multilayered and Multifunctional Triboelectric Nanogenerator

  • 期刊论文

  • 发表日期：

    2026年7月14日

查看全文
  • Fatma Ozudogru,
  • Sercan Koca,
  • Seval Kinden,
  • Shah Zayed Riam,
  • Shawana Tabassum

摘要

This work reports a multifunctional, multilayered zigzag-shaped triboelectric nanogenerator (TENG) array developed as a potential candidate for low-cost biomechanical sensing applications. The device was fabricated from alternating Cu and polytetrafluoroethylene (PTFE) layers using straightforward assembly process. A three-unit TENG configuration shows power output of 26.67 µW, while a six-unit TENG shows maximum power output of 70.8645 µW under a 10 MΩ matched load. The feasibility of the device is explored as a conceptual smart floor mat counter to track indoor occupancy by monitoring individuals entering and exiting specific areas. Additionally, experimental studies on tracking knee and arm movements suggest its possible utility in physiotherapy, fall detection, and sports biomechanics. While this study focuses primarily on real-time sensing responses, it may offer a baseline framework for future energy-harvesting integration via circuit and charge-storage optimization.