Performance Analysis of Embedded Mechanoluminescence-Perovskite Self-Powered Pressure Sensor for Structural Health Monitoring

被引:7
|
作者
Carani, Lucas Braga [1 ]
Eze, Vincent Obiozo [1 ]
Iwuagwu, Chetanna [1 ]
Okoli, Okenwa Izeji [1 ]
机构
[1] Florida A&M Univ Florida State Univ, Coll Engn, High Performance Mat Inst, Tallahassee, FL 32310 USA
来源
JOURNAL OF COMPOSITES SCIENCE | 2020年 / 4卷 / 04期
基金
美国国家科学基金会;
关键词
structural health monitoring; mechanoluminescence; sensor; perovskite; composite material; SOLAR-CELLS; COMPOSITE; TRANSPORT; EFFICIENT; AIRCRAFT;
D O I
10.3390/jcs4040190
中图分类号
TB33 [复合材料];
学科分类号
摘要
Recent developments in sensing technologies have triggered a lot of research interest in exploring novel self-powered, inexpensive, compact and flexible pressure sensors with the potential for structural health monitoring (SHM) applications. Herein, we assessed the performance of an embedded mechanoluminescent (ML) and perovskite pressure sensor that integrates the physical principles of mechanoluminescence and perovskite materials. For a continuous in-situ SHM, it is crucial to evaluate the capabilities of the sensing device when embedded into a composite structure. An experimental study of how the sensor is affected by the embedment process into a glass fiber-reinforced composite has been conducted. A series of devices with and without ML were embedded within a composite laminate, and the signal responses were collected under different conditions. We also demonstrated a successful encapsulation process in order for the device to withstand the composite manufacturing conditions. The results show that the sensor exhibits distinct signals when subjected to different load conditions and can be used for the in-situ SHM of advanced composite structures.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Self-Powered Textile Triboelectric Pulse Sensor for Cardiovascular Monitoring
    Jiang, Dongjie
    Xu, Ming
    Wang, Qining
    2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC, 2023,
  • [42] A Self-Powered Wearable Sensor for Continuous Wireless Sweat Monitoring
    Gai, Yansong
    Wang, Engui
    Liu, Minghao
    Xie, Lirong
    Bai, Yuan
    Yang, Yuan
    Xue, Jiangtao
    Qu, Xuecheng
    Xi, Yuan
    Li, Linlin
    Luo, Dan
    Li, Zhou
    SMALL METHODS, 2022, 6 (10)
  • [43] Transparent flexible nanogenerator as self-powered sensor for transportation monitoring
    Lin, Long
    Hu, Youfan
    Xu, Chen
    Zhang, Yan
    Zhang, Rui
    Wen, Xiaonan
    Wang, Zhong Lin
    NANO ENERGY, 2013, 2 (01) : 75 - 81
  • [44] An Effective Self-Powered Piezoelectric Sensor for Monitoring Basketball Skills
    Zhao, Chongle
    Jia, Changjun
    Zhu, Yongsheng
    Zhao, Tianming
    SENSORS, 2021, 21 (15)
  • [45] A self-powered human gait monitoring sensor for osteoarthritis prevention
    Ding, Yunyi
    Luo, Yichen
    Zhou, Xue
    Zhang, Shaojie
    Zhang, Bin
    Li, Yayu
    APL MATERIALS, 2023, 11 (07)
  • [46] A Wireless Self-powered Urinary Incontinence Sensor Embedded in Disposable Diapers
    Tanaka, Ami
    Douseki, Takakuni
    2013 7TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 2013, : 169 - 172
  • [47] Multiangle, self-powered sensor array for monitoring head impacts
    Zu, Lulu
    Wen, Jing
    Wang, Shengbo
    Zhang, Ming
    Sun, Wuliang
    Chen, Baodong
    Wang, Zhong Lin
    SCIENCE ADVANCES, 2023, 9 (20)
  • [48] Hierarchically Rough Structured and Self-Powered Pressure Sensor Textile for Motion Sensing and Pulse Monitoring
    Lou, Mengna
    Abdalla, Ibrahim
    Zhu, Miaomiao
    Yu, Jianyong
    Li, Zhaoling
    Ding, Bin
    ACS APPLIED MATERIALS & INTERFACES, 2020, 12 (01) : 1597 - 1605
  • [49] Self-powered liquid triboelectric microfluidic sensor for pressure sensing and finger motion monitoring applications
    Shi, Qiongfeng
    Wang, Hao
    Wang, Tao
    Lee, Chengkuo
    NANO ENERGY, 2016, 30 : 450 - 459
  • [50] Self-powered Pressure Sensor Based on Flexible Magnetic Material
    Guo, Chengxi
    Kong, Lijie
    Chen, Yian
    Jiang, Yuan
    Zhang, Qinyan
    Qian, Xilin
    Li, Yifeng
    Huang, Jianqiu
    Yu, Huiyang
    2023 IEEE SENSORS, 2023,