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作 者:Wen-Qiang Wan Kai-Ming Liang Peng-Yu Zhu Xiang-Yu Chen Zhen-Feng Li Shi-Yu Liu Shuai Zhang Yang Song Peng He Yew-Hoong Wong Shu-Ye Zhang
机构地区:[1]National Key Laboratory of Precision Welding and Joining of Materials and Structures,Harbin Institute of Technology,Harbin,150001,China [2]Chongqing Research Institute,Harbin Institute of Technology,Chongqing,401135,China [3]Department of Mechanical Engineering,Faculty of Engineering,Universiti Malaya,50603,Kuala Lumpur,Malaysia
出 处:《Rare Metals》2024年第12期6486-6499,共14页稀有金属(英文版)
基 金:financially supported by Heilongjiang Provincial Natural Science Foundation of China(No.YQ2022E024);the National Natural Science Foundation of China(No.52375327)。
摘 要:Wearable,flexible devices have garnered widespread attention in the realm of human motion and life activity detection.Currently,the development of simple,green,and easily scalable methods for fabricating strain sensors still presents significant challenges.In this study,we successfully modified the surface of reduced graphene oxide(rGO)with SnCuNiIn multi-component alloy nanoparticles(MCA NPs),with an average size of 13.29 nm,utilizing a green and facile microwave heating approach.Leveraging the SnCuNiIn MCA NPs/rGO powder,we formulated a conductive ink based on water and ethylene glycol,which,when screen-printed,yielded conductive patterns with a minimum resistivity of 4.366 mΩ·cm.Strain sensors produced using this ink demonstrate exceptional performance,demonstrating favorable resistance change rates during a single bending process that meets practical application requirements,and enduring 5000 bending cycles with a resistance change of less than 5%.These sensors exhibited a high gauge factor(GF_(max)=52.7)and outstanding cycling stability.Lastly,strain sensors are employed to monitor human normal life activities and motion states,showcasing significant potential for application in wearable electronic products.
关 键 词:Multi-component alloy nanoparticles rGO Strain sensor Human motion
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] TB383.1[自动化与计算机技术—控制科学与工程]
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