Process Development of a Highly Flexible Piezoelectric-Thread-Sensor and its Application on Hand-Gesture Sensing

• Main Authors: Chih-Cheng Kuo, 郭智成
• Other Authors: Chih-Kung Lee
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/u8kqb9

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 107 === In this dissertation, a highly flexible piezoelectric strain sensing gloves that can measurement hand-gestures is developed. In order to produce a highly sensitive and highly flexible sensor, poly(vinylidene fluoride-co-trifluoroethylene) (P (VDF-TrFE)) is used as the sensing element. It is a piezoelectric polymer that has a good force-electric coupling for sensor application. A needleless electrospinning process is developed to produce a highly flexible and stretchable piezoelectric thread. Using a heating system and a stretching system in the post-electrospinning process, the thread would improve its fiber alignment and to enhance its stretchability. The needleless electrospinning process which can produce a piezoelectric thread in a speed of 12 mm/s, and the thread can withstand deformation up to 40% strain. . The fiber structure is further aligned by a cyclic stretching system, so that its piezoelectric output is enhanced 3.2 times. Then, using silver wires as an electrode and a Thermoplastic polyurethane (TPU) adhesive film as a sensor substrate, a strain sensor is fabricated for large stain sensing. The piezoelectric thread is thermally bond between two TPU films followed by a polarization process to improve its ferroelectric characteristics. Using a 360-degree rotatory platform and an inflatable platform to measure sensor performance, it is verified that the sensor can sustain 10% to 40% strain. It has a high linearity and a high repeatability output signal. Finally, the process to develop a strain sensing glove is developed, and the sensor is thermally bond to a nylon glove by using hot pressing process. It is experimentally verified that this glove can be used to measure different hand gesture successfully. It can be applied to the field of virtual reality, health care, and fitness usage.