IMR OpenIR
Fatigue crack-based strain sensors achieving flow detection and motion monitoring for reconnaissance robot applications
Wu, Xu-Ping1,2; Luo, Xue-Mei1; Chen, Hong-Lei1; Man, Yi1,2; Bai, Yao-Yao3; Qin, Tian-Ze1,2; Zhang, Bin3; Zhang, Guang-Ping1
通讯作者Luo, Xue-Mei(xmluo@imr.ac.cn) ; Zhang, Guang-Ping(gpzhang@imr.ac.cn)
2024-06-19
发表期刊MATERIALS HORIZONS
ISSN2051-6347
页码16
摘要Crack-based flexible strain sensors with ultra-high sensitivity under tiny strain are highly desired for environmental perception and motion detection of novel flexible and miniature robots. However, previously reported methods for fabricating crack patterns have often sacrificed the cyclic stability of the sensor, leading to a trade-off relationship between the sensitivity and the cyclic stability. Here, a universal and simple strategy based on fatigue loading with an ultra-large cumulative strain of up to similar to 1.2 x 10(7)%, rather than the traditionally quasi-static pre-overloading methods, is proposed to introduce channel cracks in the sensing layer without sacrificing the cyclic stability. The developed flexible strain sensors exhibit high strain-sensitivity (gauge factor = 5798) under tiny strain (< 3%), high cyclic stability (15 000 cycles) and a low strain detecting limit (0.02%). Furthermore, a leaf-like mechanosensor is developed using the fatigue crack-based strain sensor for the realization of multifunctional applications in environment perception and micro-motion detection. Brilliant airflow sensing performance with a wide sensing range (0.93-11.93 m s(-1)) and a fast response time (0.28 s) for amphibious applications is demonstrated. This work provides a new strategy for overcoming limits of crack-based flexible strain sensors and the developed leaf-like mechanosensor shows great application potential in miniature and flexible reconnaissance robots.
资助者National Natural Science Foundation of China (NSFC) ; Strategic Priority Research Program of Chinese Academy of Sciences ; Institute of Metal Research (IMR)
DOI10.1039/d4mh00419a
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China (NSFC)[52071319] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB0510303] ; Institute of Metal Research (IMR)
WOS研究方向Chemistry ; Materials Science
WOS类目Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary
WOS记录号WOS:001253262200001
出版者ROYAL SOC CHEMISTRY
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/187513
专题中国科学院金属研究所
通讯作者Luo, Xue-Mei; Zhang, Guang-Ping
作者单位1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, 72 Wenhua Rd, Shenyang 110016, Peoples R China
3.Northeastern Univ, Sch Mat Sci & Engn, Key Lab Anisotropy & Texture Mat, Minist Educ, 3-11 Wenhua Rd, Shenyang 110819, Peoples R China
推荐引用方式
GB/T 7714
Wu, Xu-Ping,Luo, Xue-Mei,Chen, Hong-Lei,et al. Fatigue crack-based strain sensors achieving flow detection and motion monitoring for reconnaissance robot applications[J]. MATERIALS HORIZONS,2024:16.
APA Wu, Xu-Ping.,Luo, Xue-Mei.,Chen, Hong-Lei.,Man, Yi.,Bai, Yao-Yao.,...&Zhang, Guang-Ping.(2024).Fatigue crack-based strain sensors achieving flow detection and motion monitoring for reconnaissance robot applications.MATERIALS HORIZONS,16.
MLA Wu, Xu-Ping,et al."Fatigue crack-based strain sensors achieving flow detection and motion monitoring for reconnaissance robot applications".MATERIALS HORIZONS (2024):16.
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