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个人信息Personal Information
教授 博士生导师 硕士生导师
主要任职:无
其他任职:无
性别:男
毕业院校:西安交通大学&美国犹他大学联合培养
学历:博士研究生毕业
学位:工学博士学位
在职信息:在职
所在单位:环境科学与工程学院
入职时间:2019-06-14
学科:环境科学与工程
环境工程
办公地点:山东大学(青岛校区)会文南楼A座
Sensitivity Improvement of Stretchable Strain Sensors by the Internal and External Structural Designs for Strain Redistribution
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论文名称:Sensitivity Improvement of Stretchable Strain Sensors by the Internal and External Structural Designs for Strain Redistribution
发表刊物:ACS Applied Materials & Interfaces
刊物所在地:ACS
摘要:Fiber strain sensors that are directly woven into smart textiles play an important role in wearable systems. These sensors require a high sensitivity to detect the subtle strain in practical applications. However, traditional fiber strain sensors with constant diameters undergo homogeneous strain distribution in the axial direction, thereby limiting the sensitivity improvement. Herein, a novel strategy of internal or external structural design is proposed to significantly improve the sensitivity of fiber strain sensors. The fibers are produced with directional increases in diameter (internal design) or polydimethylsiloxane (PDMS) microbeads attached to surfaces (external design) by combining hollow glass tubes used as templates with PDMS drops. The structural modification of the fiber significantly impacts the sensing performance. After optimizing structural parameters, the highest gauge factor reaches 123.1 in the internal−external structure design at 25% strain. A comprehensive analysis reveals that the desirable scheme is the internal structural design, which features a high sensitivity of 110 with a 100% improvement at ∼5−20% strain. Because of the sufficiently robust interface, even at the 800th cycle, fiber sensors still possessed an excellent stable performance. The morphology evolution mechanism indicates that the resistance increase is closely related with the increased peak width and distance, and the appearance of gaps. Based on the finite element modeling simulation, the quantified effective contributions of different strategies positively correlate with the improved sensitivity. The proposed fiber strain sensors, which are woven into the two-dimensional network structure, exhibit an excellent capability for displacement monitoring and facilitate the traffic control of crossroads.
第一作者:Chunjin Wu*, Huai Wang, Ying Li, Taehoon Kim*, Suk Jin Kwon, Byeongjin Park, Zuoli He, Sang-Bok Lee, Moon-Kwang Um, Joon-Hyung Byun*, and Tsu-Wei Chou
论文类型:期刊论文
卷号:12
期号:45
页面范围:50803-50811
是否译文:否
发表时间:2020-11
收录刊物:SCI
发布时间:2020-11-24
