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研究生: 吳松恒
Wu, Sung-Heng
論文名稱: 3D近場電紡技術於壓電纖維感測元件 之設計與實驗評估
Design and Experimental Evaluation of Piezoelectric Fibers Sensor using 3D Near-Field Electrospinning Technology
指導教授: 沈聖智
Shen, Sheng-Chih
學位類別: 碩士
Master
系所名稱: 工學院 - 系統及船舶機電工程學系
Department of Systems and Naval Mechatronic Engineering
論文出版年: 2018
畢業學年度: 106
語文別: 英文
論文頁數: 77
中文關鍵詞: 近場式靜電紡絲3D堆疊技術壓電纖維纖維感測器
外文關鍵詞: Near-field Electrospinning, 3D Stacking Technology, Piezoelectric Fibers, Fibers Sensor
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  • 本論文以近場式靜電紡絲製程 (Near-field Electrospinning , NFES),搭配高分子材料聚偏二氟乙烯 (polyvinylidene difluoride , PVDF),並開發創新的製程製作出3D堆疊壓電纖維。3D堆疊壓電纖維的技術以製程參數的分析和纖維線徑的預測為核心。透過近場式靜電紡絲實驗整理出製程的臨界電壓以及各製程參數對線徑大小的影響。利用NFES的數學模組,本研究推導出預測纖維線徑的公式,理論值與實驗值的誤差為15.22%,證實了預測纖維線徑的可行性。透過SEM觀測出成功堆疊的3D壓電纖維,驗證壓電纖維確實可藉由本論文之技術堆疊出具有一定高度的微結構。本研究利用紙基板、銅電極、3D堆疊壓電纖維製作出壓電纖維感測元件,並設計一系列實驗量測3D壓電纖維之壓電特性。透過量測結果歸納出纖維的輸出電壓正比於堆疊層數,堆疊7層的纖維較無堆疊的纖維高出116% 的電壓輸出,驗證了透過纖維的堆疊可以提升感測元件之輸出電壓。而感測元件的電壓輸出則與電極間距成反比,利用不同的堆疊層數或不同的電極間距,可以成功分隔出不同區間的電壓值。最後本論文成功將此壓電纖維感測元件應用於人體生理訊號之量測,將感測元件結合LabVIEW以及訊號擷取裝置,並撰寫人機介面,作為生理訊號的監控與紀錄。未來可望將該研究之製程技術拓展於壓電式微機電系統(Microelectromechanical Systems, MEMS)的製造與應用。

    The purpose of present study is using near-field electrospinning (NFES) combined with polymer material polyvinylidene difluoride (PVDF) and designing the novel technology to fabricate 3D stacking piezoelectric fibers (3DSPF). Through the mathematical module of NFES, the study derives the formula of predicting fibers width and velocity of jet. Besides, analyze the relation between process parameters and fibers width completely, and conclude the effect of each parameter. After that, design a process to fabricate 3DSPF with paper substrate, and observe the result of 3DSPF by SEM. The result of SEM holds that paper substrate and prediction of fibers width can make process successfully. The study designs the experiments and diverse sensor to verify the piezoelectricity of 3DSPF. The result of experiments shows that the voltage of sensor is proportional to stacking layer, and voltage of 7 layers stacking fibers is higher than normal fibers 116 %, and the voltage of fibers is inversely proportional to electrodes gap. Finally, the study shows the application to produce the flexible sensor combined with paper substrate, copper electrodes, 3DSPF, and tendency of voltage to measure the physiological data of human. Making use of data acquisition (DAQ) and human machine interface (HMI) to design a system that can monitor users’ physiological signal effectively.

    摘要………………………………………………………………………………….I Abstract……………………………………………………………………………..II 致謝………………………………………………………………………………...III Table of Contents…………………………………………………………………..IV Chapter 1 Introduction…………………………………………………………...1 1.1 Motivation 1 1.2 Method 3 1.3 Outline 4 Chapter 2 Literature Review……………………………………………………..5 2.1 Background of Electrospinning 5 2.1.1 Overview of Electrospinning 5 2.1.2 Review of Electrospinning Technology 6 2.1.3 The appearance of Near-Field Electrospinning 8 2.2 Development of 3D-Stacking Fiber 10 2.2.1 Background of 3D Stacking Technology 10 2.2.2 Development of 3D Stacking Fiber 11 2.3 Piezoelectric Fibers Sensor 17 Chapter 3 3D-Stacking Fibers Technology……………………………………..23 3.1 Theory of Electrospinning 23 3.1.1 Critical Voltage 23 3.1.2 Analysis of Process Parameters 25 3.2 Prediction of Fibers Width 30 Chapter 4 Design of Experiment………………………………………………..36 4.1 Setup of NFES 36 4.1.1 Construction of Equipment 36 4.1.2 Preparation of Polymer Solution 43 4.1.3 Step of Experiment 47 4.2 Design of Piezoelectric Fibers Sensor 48 4.3 Experiment of Piezoelectric Fibers 52 4.3.1 Measure Item of Piezoelectric Fibers 52 4.3.2 Measuring Method 53 Chapter 5 Result and Discussion………………………………………………..57 5.1 The Result of 3D Stacking Piezoelectric Fibers 57 5.1.1 The Result of SEM 57 5.1.2 The Result of Predicting Fibers Width 59 5.2 Piezoelectricity of Fibers 62 5.2.1 Relation between Voltage and Layers 62 5.2.2 Reproducibility and Durability 65 5.2.3 Relation between Electrode distance 66 5.3 Design and Evaluation of Pulse Sensor 70 5.3.1 Conception of Pulse Sensor 70 5.3.2 Result of Pulse Sensor 71 Chapter 6 Conclusion and Future Works……………………………………….73 6.1 Conclusion 73 6.2 Future Works 74 6.2.1 Application 74 6.2.2 Process 74 Reference…………………………………………………………………………...75

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