- 學位論文
紗線型態壓阻感測器的開發
The Development of Yarn-Based Piezo-Resistive Sensors
摘要
智慧型紡織品是紡織產業中突破舊有窠臼，創新紡織品應用的新趨勢，其目標在於提供傳統紡織品美觀、蔽體與保溫之外的新功能，以生理訊號感測與人體姿態判別為甚。然而目前為止尚無亮眼的解決方案，不耐水洗與摺疊、製程複雜、再現性低、功能不顯著與適用性不高，無法滿足舒適與時尚的設計需求是主要待改進的議題。 本文的目標在於提供上述缺點的解決方案，為智慧型紡織品的實用化踏出第一步。基於此，本研究提出一獨特、不同以往的創意，以撓性的紗線型態作為感測器的基本結構，能適用於後道加工與後續相關應用，製程單純，商品化可行性、耐水洗性均受到保障，舒適與時尚設計的適用性高。在創意之外，本研究亦透過實驗發現適用於紗線型態感測器的雙包繞結構，具有高度的線性度、適宜的靈敏度與良好的性能，改善功能不顯著的缺陷，相對於往昔高度非線性性能曲線的結果是極大的進展。並進一步探討紗線型態感測器的參數設計準則，包括芯線組成、包繞組成與密度，奠立各類感測器設計必要考量因素。其次，以應用於呼吸訊號感測的實際案例，檢驗真正的可行性，並驗證再現性與壽命，最後歸納本文的結果，作為結論與未來持續研發之參考。
並列摘要
In the textile industry, smart textiles might break old tradition and become a new trend for the innovation application. The objectives of developing smart textiles should be not only including the traditional functions such as beautiful dresses, body covering, and keep warming, but also sensing the physiological signals and identifying the posture. So far, there are no promising solutions in developing such kind of smart textiles which can meet the human expectation. Furthermorey, non-washable, complexity of fabrication process, no favorable characteristics, low repeatability, low applicability for meeting the comfort and fashion purposes are the important topics which need further investigation and refinement. This dissertation proposes a new approach such that the above shortcomings can be resolved which can move a further step towards the practical application of smart textiles. The approach is unique and different from the previous method. It proposes the flexible yarn-based type as the fundamental structure of the sensor such as it can be applied to the subsequent processing and applications. The design can satisfy the requirements such as simple manufacturing process, washable, and the flexibility of comfort and fashion design. Besides of the creativity, one of the contributions of this study is to find the double wrapping structure which is suitable for the yarn-based sensors. The developed sensor can provide high linearity and sensitivity such that better performance can be achieved as compared to the previous design with nonlinear properties. Furthermore, the design criteria for the yarn-based sensor are established in the study. Different parameters of the sensor such as linear density and the composition of core yarn and wrapping fiber are considered to be important factors in developing various types of sensor. Finally, the developed smart textile sensor is applied to sense the human breathing signals. The feasibility is verified and the repeatability and life endurance are validated, too. The overall technique is summarized and proposed for the future research.