Development of highly sensitive and stable patterned PDMS flexible strain sensors for motion monitoring via laser direct writing

被引:0
|
作者
Li, Zhaoyan [1 ]
Xie, Xiaozhu [1 ,2 ,3 ]
Xiao, Jincheng [1 ]
Zeng, Yizhi [1 ]
Huang, Yajun [1 ,2 ]
机构
[1] Guangdong Univ Technol, Sch Electromech Engn, Laser Micro Nano Proc Lab, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Dept Expt Teaching, Guangzhou 510006, Peoples R China
[3] Guangdong Univ Technol, Sch Electromech Engn, State Key Lab Precis Elect Mfg Technol & Equipment, Guangzhou, Peoples R China
来源
关键词
Flexible strain sensor; Laser processing; Composite microstructure; Sensing mechanism; Sensing performance; CONDUCTIVE POLYMER COMPOSITES;
D O I
10.1016/j.optlastec.2024.112212
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Flexible strain sensors have received widespread attention for their potential applications in wearables, human-computer interaction, and healthcare. However, achieving a good balance between sensitivity, stretchability, and stability remains challenging. Here, we report a cost-effective and scalable fabrication strategy that combines laser direct writing (LDW) with 3D printing (3DP) to prepare various patterned Polydimethylsiloxane (P-PDMS) flexible strain sensors. By varying the laser parameters and processing paths, different microstructured patterns can be obtained, which significantly influence the sensor's performance. By introducing patterned composite microstructures, the sensitivity of the strain sensor was increased by 339 % compared to the sensor without surface structures. Additionally, the strain sensors exhibit high stability and durability, a fast response time (140 ms), low hysteresis (0.009), and an ultra-low detection limit (0.0125 % strain). Besides, the sensors demonstrate excellent electrical performance and thermal stability. Based on their superior performance, we demonstrated their capability for real-time monitoring of human physiological signals. These findings successfully illustrate the potential of laser processing in fabricating complex microstructures, enabling the development of high-sensitivity flexible strain sensors for applications such as wearable health monitoring and human-computer interaction.
引用
收藏
页数:9
相关论文
共 46 条
  • [41] Wireless strain-field monitoring system for motion recognition via direct-ink-writing sensor-array
    Zhang, Xin
    Yu, Peishi
    Tao, Yin
    Liu, Guotao
    Li, Maoyang
    Zhao, Yuxiang
    Zhao, Junhua
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2024, 275
  • [42] Laser-assisted micropyramid patterned PDMS encapsulation of 1D tellurium nanowires on cellulose paper for highly sensitive strain sensor and its photodetection studies
    Selamneni, Venkatarao
    Akshaya, T.
    Adepu, Vivek
    Sahatiya, Parikshit
    NANOTECHNOLOGY, 2021, 32 (45)
  • [43] Highly Flexible Strain Sensors Based on CNT-Reinforced Ecoflex Silicone Rubber for Wireless Facemask Breathing Monitoring via Bluetooth
    del Bosque, Antonio
    Sanchez-Romate, Xoan Xose Fernandez
    Calvo, Alvaro De La Llana
    Fernandez, Pedro Rafael
    Borromeo, Susana
    Sanchez, Maria
    Urena, Alejandro
    ACS APPLIED POLYMER MATERIALS, 2023, 5 (10) : 8589 - 8599
  • [44] Flexible Strain Sensors Based on Direct-Writing VO2 Nanobelts Inks for Monitoring Human Motions and Human-Machine Interaction
    Han, Hanzhi
    Cheng, Youliang
    Fang, Changqing
    Zhao, Taifei
    Liu, Jie
    Du, Haochen
    ACS APPLIED NANO MATERIALS, 2023, 6 (16) : 14680 - 14691
  • [45] Highly Stretchable, Highly Sensitive, and Antibacterial Electrospun Nanofiber Strain Sensors with Low Detection Limit and Stable CNT/MXene/CNT Sandwich Conductive Layers for Human Motion Detection
    He, Jingqiang
    Zou, Xiaoling
    Wang, Weijie
    Chen, Meimei
    Jiang, Shan
    Cui, Ce
    Tang, Hong
    Yang, Li
    Guo, Ronghui
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2023, 62 (21) : 8327 - 8338
  • [46] Highly Sensitive and Selective Multidirectional Flexible Strain Sensors With Cross-Shaped Structure Based on Fe NWs/Graphene/Interlock Knit Fabric for Human Activity Monitoring
    Yang, Ping-An
    Cui, Xu
    Li, Rui
    Shou, Mengjie
    Gong, Xinglong
    Lee, Chul-Hee
    Zhang, Kaibi
    IEEE SENSORS JOURNAL, 2023, 23 (19) : 23440 - 23447