TY - GEN
T1 - Controlled crack propagation in wireless mxene strain sensor with high sensitivity and designated working windows for soft robots
AU - Yang, Haitao
N1 - Publisher Copyright:
© 2020 American Institute of Chemical Engineers. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Piezoresistive strain sensor with high sensitivity, user-designated working windows, and wireless signal transmission ishighly desired for real-time monitoring of emerging multi-degree-of-freedom soft robots. Several continual challengesawait to be addressed for the required strain sensors. First, soft robots normally work under large body deformationsand require the strain sensors with high sensitivity (gauge factor > 100) to monitor the robotic actuations at largestrains (> 100%). Second, the high-sensitivity working window(s) of strain sensors is required to be tuned to meet thestrain ranges of robotic deformations. Third, for complex actuations of soft robots, multiple strain sensors are oftenneeded for picturing the entire motions, thus increasing the capacity loads of data processing and consuming moreenergy. To address these challenges, we develop various hierarchical morphologies on the piezoresistive Ti C T MXene layer to control the propagation of in-plane cracks under strains, endowing the resulting sensor with highsensitivity (gauge factor > 800) and controllable working window (from 130% to > 900%). Furthermore, by assemblingmultiple MXene sensors, we develop strain sensing modules that simultaneously achieve ultrahigh sensitivity (gaugefactor = 14,000) within user-designated linear working windows (covering 100% strain range). The sensor modules arealso capable of collectively monitoring multi-segment robotic actuations in a single database channel, largely reducingthe data processing loading for real-time sensing. We finally integrate the MXene sensor modules with the near-fieldcommunication technologies to establish the wireless, battery-free sensing systems to monitor the complex actuationsof various soft robots (origami robots, soft hand/leg exoskeletons).
AB - Piezoresistive strain sensor with high sensitivity, user-designated working windows, and wireless signal transmission ishighly desired for real-time monitoring of emerging multi-degree-of-freedom soft robots. Several continual challengesawait to be addressed for the required strain sensors. First, soft robots normally work under large body deformationsand require the strain sensors with high sensitivity (gauge factor > 100) to monitor the robotic actuations at largestrains (> 100%). Second, the high-sensitivity working window(s) of strain sensors is required to be tuned to meet thestrain ranges of robotic deformations. Third, for complex actuations of soft robots, multiple strain sensors are oftenneeded for picturing the entire motions, thus increasing the capacity loads of data processing and consuming moreenergy. To address these challenges, we develop various hierarchical morphologies on the piezoresistive Ti C T MXene layer to control the propagation of in-plane cracks under strains, endowing the resulting sensor with highsensitivity (gauge factor > 800) and controllable working window (from 130% to > 900%). Furthermore, by assemblingmultiple MXene sensors, we develop strain sensing modules that simultaneously achieve ultrahigh sensitivity (gaugefactor = 14,000) within user-designated linear working windows (covering 100% strain range). The sensor modules arealso capable of collectively monitoring multi-segment robotic actuations in a single database channel, largely reducingthe data processing loading for real-time sensing. We finally integrate the MXene sensor modules with the near-fieldcommunication technologies to establish the wireless, battery-free sensing systems to monitor the complex actuationsof various soft robots (origami robots, soft hand/leg exoskeletons).
UR - http://www.scopus.com/inward/record.url?scp=85106164192&partnerID=8YFLogxK
M3 - 会议稿件
AN - SCOPUS:85106164192
T3 - AIChE Annual Meeting, Conference Proceedings
BT - 2020 Virtual AIChE Annual Meeting
PB - American Institute of Chemical Engineers
T2 - 2020 AIChE Annual Meeting
Y2 - 16 November 2020 through 20 November 2020
ER -