Double-Layered Conductive Network Design of Flexible Strain Sensors for High Sensitivity and Wide Working Range
Source abstract
Abstract
For flexible strain sensors, the optimization between sensitivity and working range is a significant challenge due to the fact that high sensitivity and high working range are usually difficult to obtain at the same time. Herein, a breathable flexible strain sensor with a double-layered conductive network structure was designed and developed, which consists of a thermoplastic polyurethane (TPU)/carbon nanotube (CNT) layer (as a substrate layer) and a Ag nanowire (AgNW) layer. The TPU/CNT layer is made of electrospinning TPU with CNTs deposited onto the surface of TPU fibers, and the flexible TPU/CNT mat guarantees the integrity of the conductive path under a large strain. The AgNW layer was prepared by depositing different amounts of AgNWs on the surface of the TPU/CNT layer, and the high-conductivity AgNWs offer a low initial resistance. Benefitting from the synergistic two-layer structure, the as-obtained flexible strain sensor exhibits a very high sensitivity (up to 1477.7) and a very wide working range (up to 150%). Besides, the fabricated sensor exhibits fast response (88 ms), excellent dynamical stability (7000 cycles), and excellent breathability. The working mechanism of the strain sensor was further investigated using various techniques (microscopy, equivalent circuit, and thermal effects of current). Furthermore, the as-fabricated flexible strain sensors accurately detect the omnidirectional human motions, including subtle and large human motions. This work provides an efficient approach to achieve the optimization between high sensitivity and large working range of strain sensors, which may have great potential applications in health monitoring, body motion detection, and human-machine interactions.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Tactile and Sensory Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Tianjin Key Laboratory of Pulp and Paper, Tianjin University of Science & Technology, Tianjin 300457, China
Zhejiang Jinjiahao Green Nanomaterial Co., Ltd., Longyou 324404, China
Zhejiang Jinchang Specialty Paper Co., Ltd., Longyou 324404, China
Jiangxi Changshuo Outdoor Leisured Articles Co.,Ltd, Shangrao 334000, China
Department of Chemical Engineering, University of New Brunswick, Fredericton, New Brunswick E3B 5A3, Canada
Funding
China Postdoctoral Science Foundation · National Natural Science Foundation of China
References (49)
Show source-provided references
1. 10.1016/j.mattod.2019.12.00410.1016/j.mattod.2019.12.004 ↗
2. 10.1002/adma.20210133910.1002/adma.202101339 ↗
3. 10.1002/adfm.20150475510.1002/adfm.201504755 ↗
4. 10.1021/acsami.6b1241510.1021/acsami.6b12415 ↗
5. 10.1016/j.nanoen.2021.10668910.1016/j.nanoen.2021.106689 ↗
6. 10.1002/adma.20190206210.1002/adma.201902062 ↗
7. 10.1002/adma.20180107210.1002/adma.201801072 ↗
8. 10.1093/nsr/nwaa02210.1093/nsr/nwaa022 ↗
9. 10.1039/c9tc03655e10.1039/c9tc03655e ↗
10. 10.1038/nature2549410.1038/nature25494 ↗
11. 10.1021/acsami.7b1415310.1021/acsami.7b14153 ↗
12. 10.1021/acsami.8b2076810.1021/acsami.8b20768 ↗
13. 10.1021/acsnano.6b0381310.1021/acsnano.6b03813 ↗
14. 10.1002/adfm.20180085010.1002/adfm.201800850 ↗
15. 10.1021/acsami.9b0320410.1021/acsami.9b03204 ↗
16. 10.1039/c9tc03797g10.1039/c9tc03797g ↗
17. 10.1021/acsami.0c0470910.1021/acsami.0c04709 ↗
18. 10.1021/acsami.6b0918810.1021/acsami.6b09188 ↗
19. 10.1002/adma.20160641110.1002/adma.201606411 ↗
20. 10.1039/c9ta04352g10.1039/c9ta04352g ↗
21. 10.1039/d0mh01539c10.1039/d0mh01539c ↗
22. 10.1002/adfm.20180788210.1002/adfm.201807882 ↗
23. 10.1021/acs.chemrev.6b0062710.1021/acs.chemrev.6b00627 ↗
24. 10.1016/j.carbpol.2020.11735210.1016/j.carbpol.2020.117352 ↗
25. 10.1021/acsami.6b1447110.1021/acsami.6b14471 ↗
26. 10.1016/j.carbpol.2009.11.01210.1016/j.carbpol.2009.11.012 ↗
27. 10.1021/acsnano.9b0332610.1021/acsnano.9b03326 ↗
28. 10.1021/acsabm.9b0087510.1021/acsabm.9b00875 ↗
29. 10.1002/admi.20160051610.1002/admi.201600516 ↗
30. 10.1002/adfm.20120049810.1002/adfm.201200498 ↗
31. 10.1002/adma.20160157210.1002/adma.201601572 ↗
32. 10.1002/adfm.20160479510.1002/adfm.201604795 ↗
33. 10.1016/j.nanoen.2018.05.03810.1016/j.nanoen.2018.05.038 ↗
34. 10.1039/d0tc00029a10.1039/d0tc00029a ↗
35. 10.1016/j.cej.2019.01.01410.1016/j.cej.2019.01.014 ↗
36. 10.1016/j.cej.2019.12339110.1016/j.cej.2019.123391 ↗
37. 10.1016/j.apmt.2021.10122110.1016/j.apmt.2021.101221 ↗
38. 10.1016/j.cej.2021.12994910.1016/j.cej.2021.129949 ↗
39. 10.1021/acsnano.8b0780510.1021/acsnano.8b07805 ↗
40. 10.1002/adfm.20150062810.1002/adfm.201500628 ↗
41. 10.1021/acsami.9b0013610.1021/acsami.9b00136 ↗
42. 10.1038/nnano.2011.3610.1038/nnano.2011.36 ↗
43. 10.1002/adfm.20190755510.1002/adfm.201907555 ↗
44. 10.1002/adfm.20200762210.1002/adfm.202007622 ↗
45. 10.1021/acsnano.1c0025910.1021/acsnano.1c00259 ↗
46. 10.1177/1528083721104177310.1177/15280837211041773 ↗
47. 10.1021/acsnano.8b0424510.1021/acsnano.8b04245 ↗
48. 10.1186/s40824-016-0069-z10.1186/s40824-016-0069-z ↗
49. 10.1016/0305-4179(77)90004-310.1016/0305-4179(77)90004-3 ↗