具仿生微奈米結構之壓電靜電混能式自供電感測器與人體生物力學監測裝置;Self-Powered hybrid multifunctional sensor with biomimetic micro/nano-textured structure for human biomechanical monitoring device

NCUIR > Engineering College > Graduate Institute of Mechanical Engineering > Electronic Thesis & Dissertation > Item 987654321/84337

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/84337

Title:	具仿生微奈米結構之壓電靜電混能式自供電感測器與人體生物力學監測裝置;Self-Powered hybrid multifunctional sensor with biomimetic micro/nano-textured structure for human biomechanical monitoring device
Authors:	盧業昕;Lu, Yeh-Hsin
Contributors:	機械工程學系
Keywords:	奈米發電機;混能式自供電感測器;機器學習長短期記憶;仿生表面微結構
Date:	2020-07-29
Issue Date:	2020-09-02 19:06:30 (UTC+8)
Publisher:	國立中央大學
Abstract:	本論文利用壓電材料PZT-5A( lead zirconate titanate piezoelectric ceramics)製成的壓電片和PVDF壓電薄膜作為壓電發電機，分別與靜電奈米發電機( Nanogenerator，NG)結合製成出壓電靜電混能自供電形變感測器(Self-Powered Multifunctional Sensor，SPMS)，並進行一系列的訊號量測和應用，其一研究為將壓電陶瓷材料PZT-5A，外部包覆著不鏽鋼外殼的壓電發電執行器與之字形摺紙結構之靜電發電器結合，並在靜電感應器上產生不同的微結構，改良其輸出和電源供應，產生穩定高輸出的混能式感應器，用於醫用輔具感測和智慧輔具研發，將穿著醫用腳部輔具產出的不同訊號做訊號分析以及動作感測，再利用機器學習長短期記憶(Long Short Term Memory，LSTM)演算法來分辨不同的動作以進行數據學習作為動態辨識的指標，其二為採用PVDF壓電薄膜感測器結合具有之靜電發電器製作出發電感應機以用於收集風能的可能性。使用3D列印機製造出一個風管將混能式發電感應器製入其中收集風能，期望能做出壓電靜電混能式風力發電器，以節約能源收集風能產生穩定的些許供電，未來在自供電發電器具中作為可供電式風能發電集能器有很好的發展潛力。;In this paper, piezoelectric device made of piezoelectric material PZT-5A (lead zirconate titanate piezoelectric ceramics) and PVDF (polyvinylidene difluoride) piezoelectric films are used as piezoelectric generators, which are combined with triboelectric Nanogenerators (NG) to produce Self-Powered Multifunctional Sensor (SPMS), with a series of signal measurement and application. One of the research is the piezoelectric ceramic material PZT-5A cover with stainless steel piezoelectric generator. The power generation actuator is combined with the triboelectric nano-generator of the zigzag origami structure, there are different microstructures on the static triboelectric sensor, improving its output and power supply ability, generate a stable and high output hybrid sensor for medical leg aid Measurement. Using different signals produced by wearing medical leg aids for signal analysis and motion sensing, and then using machine learning Long Short Term Memory (LSTM) algorithm to distinguish different actions for data learning as dynamic identification. The second indicator is the possibility of using PVDF piezoelectric film sensor combined with piezoelectric film to make a power generation sensor for collecting wind energy. It is manufactured using a 3D printer produce wind pipe incorporates a hybrid energy generation sensor into it to collect wind energy. It is expected to be used as a self-powered nozzle witch can save wind energy and sensing different wind signal. Collecting wind energy produces give a stable supply of electricity. The sensor has good development potential in the future.
Appears in Collections:	[Graduate Institute of Mechanical Engineering] Electronic Thesis & Dissertation

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