近年來3D列印技術快速發展，相較於傳統的製造方式，其成本低廉、縮短產品的研發週期、客製化、高精度等優勢引起了學術界和業界的關注，隨著3D列印技術越來越成熟，陸續有相關產業開始投入在3D列印這項技術的開發上。
本研究主要是透過調控寡聚體和丙烯酸酯單體之間的比例，製備出具有良好拉伸性、延展性的彈性光固化樹脂，並添加導電材料石墨烯(rGO)和硝酸銀(AgNO3)，使樹脂具備導電性，並藉由光固化3D列印高度客製化的優勢，設計出兩種不同結構的電極，分別為線性結構電極和不同表面結電極，最終應用於生理訊號的測量上。為了改善石墨烯易於團聚的特性，利用雙親性分散劑PIB-POE-PIB，藉由PIB的親油鏈段與石墨烯產生非共價鍵結，及POE的親水鏈段以增加石墨烯在溶液中的穩定性，並通過照光，在光聚合反應的過程中同時還原奈米銀，與自行配置的彈性光固化樹脂結合，混合出柔性奈米銀/石墨烯/奈米複合樹脂。最後，利用光固化3D列印，印製出具有不同線性結構和具有不同表面結構電極，測量不同運動狀態下的心電圖(ECG)和肌電圖(EMG)，成功將光固化3D列印的優勢與可穿戴式電子裝置結合，並且應用於量測人體生理訊號的智慧衣上。

In recent years, the rapid development of 3D printing technology. Compared with traditional manufacturing methods. Its low cost, shortened product development cycle, customization, high precision and other advantages have attracted the attention of academia and industry. As 3D printing technology becomes more and more mature. Related industries have started to invest in the development of 3D printing technology.
In this study, by selecting and adjusting the ratio of specific acrylate monomers and oligomers, a resin with stretchability and elasticity was configured, and then reduced graphite oxide (rGO) and silver nitrate (AgNO3) were added to give the light-curing resin conductivity. With the advantages of photo-curing 3D printing, Two different structures of electrodes were designed. They are linear electrodes and electrodes with different surface junctions, which are finally applied to the measurement of physiological signals. In order to improve the tendency of graphene which tend to agglomerate. We use the dual affinity dispersant PIB-POE-PIB. The oleophilic chain of PIB produces noncovalent bonding with graphene. The hydrophilic chain of POE is used to increase the stability of graphene in solution. We also use photo-reduction. Nanosilver is simultaneously reduced during the photopolymerization reaction and combined with our configured elastomeric light-curing resins. The nanosilver/graphene/flexible nanocomposite resin was successfully blended. Finally, we use light-curing 3D printing to print electrodes with different linear structures and different surface structures to measure electrocardiograms (ECG) and electromyograms (EMG) under different exercise conditions. We successfully combined the advantages of light-cured 3D printing with wearable electronic devices and applied them to smart clothes for measuring human physiological signals.

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