Kirigami‐Enabled, Passive Resonant Sensors for Wireless Deformation Monitoring
Source abstract
Abstract
Abstract A passive resonant sensor with kirigami patterning is presented to wirelessly report material deformation in closed systems. The sensors are fabricated from copper‐coated polyimide by etching a conductive Archimedean spiral and then laser cutting kirigami patterns. The sensor response is defined as the resonant frequency in the transmission scattering parameter signal (S21), which is captured via a benchtop vector network analyzer. The sensors are tested over a 0–22 cm range of extension and show a significant shift in resonant frequency (e.g., 90 MHz shift for 10 cm stretch). Furthermore, the effect of resonator coil pitch on the extension sensor gain (MHz cm−1) and linear span of the sensor is studied. The repeatability of the sensor gain is confirmed by performing hysteresis cycles. The sensors is coated with polydimethylsiloxane films to protect from electrical shorting in aqueous environments. The coated resonators are placed in a pipe to report flow rates. The sensor with 1 mm coating is found to have the largest gain (0.17 MHz⋅s mL−1) and linear span (10–100 mL s−1). Thus, flexible resonant sensors with kirigami‐inspired patterns can be tuned via geometric and coating considerations to wirelessly report a large range of extension lengths for potential uses in health monitoring, motion tracking, deformation detection, and soft robotics.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Fiber Optic Sensors · Advanced MEMS and NEMS Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical and Biological Engineering Iowa State University Ames IA 50011 USA
Department of Materials Science and Engineering Soft Materials and Structures Lab Iowa State University Ames IA 50011 USA
Funding
National Science Foundation
References (66)
Show source-provided references
1. 10.1186/1743-0003-9-2110.1186/1743-0003-9-21 ↗
2. 10.1109/2945.76487210.1109/2945.764872 ↗
3. Kawamura S. · 2003 · 816
4. C. T.Gentile M.Wallace T. D.Avalon S.Goodman R.Fuller T.Hall U.S. Patent No. 5 086 785 Washington DC USA1992.
5. 10.1016/j.jsv.2004.06.01810.1016/j.jsv.2004.06.018 ↗
6. T. A.Erhart U.S. Patent No. 5 557 154 Washington DC USA1996.
7. 10.1109/JSEN.2004.83749810.1109/JSEN.2004.837498 ↗
8. 10.1109/TITB.2005.85451010.1109/TITB.2005.854510 ↗
9. 10.1109/TRO.2004.84089810.1109/TRO.2004.840898 ↗
10. 10.1016/S0958-9465(99)00037-210.1016/S0958-9465(99)00037-2 ↗
11. 10.3390/s704047310.3390/s7040473 ↗
12. 10.1038/nnano.2011.3610.1038/nnano.2011.36 ↗
13. 10.1038/nature1910010.1038/nature19100 ↗
14. 10.1021/acsnano.5b0059910.1021/acsnano.5b00599 ↗
15. 10.1021/acsami.5b0069510.1021/acsami.5b00695 ↗
16. Nasab A. M. · Soft Rob. · 2017 · 00 · soro. 2016.0039
17. 10.1073/pnas.161637711410.1073/pnas.1616377114 ↗
18. 10.1073/pnas.111656410810.1073/pnas.1116564108 ↗
19. 10.1088/0964-1726/22/8/08500510.1088/0964-1726/22/8/085005 ↗
20. 10.1002/admt.20160028410.1002/admt.201600284 ↗
21. 10.1088/0957-0233/17/11/00210.1088/0957-0233/17/11/002 ↗
22. 10.1016/j.sna.2005.10.02910.1016/j.sna.2005.10.029 ↗
23. 10.1016/S0924-4247(02)00342-410.1016/S0924-4247(02)00342-4 ↗
24. 10.1002/adfm.20160273310.1002/adfm.201602733 ↗
25. 10.1002/adfm.20140408710.1002/adfm.201404087 ↗
26. 10.1002/adma.20140033410.1002/adma.201400334 ↗
27. 10.1039/C4NR03295K10.1039/C4NR03295K ↗
28. Savage V. · 2013 · 447
29. Mautz R. · 2011 · 1
30. Bau H. · 2008
31. 10.1016/S0924-4247(01)00720-810.1016/S0924-4247(01)00720-8 ↗
32. 10.1016/S0924-4247(01)00624-010.1016/S0924-4247(01)00624-0 ↗
33. 10.1021/acssensors.5b0025910.1021/acssensors.5b00259 ↗
34. 10.1016/j.cirp.2010.03.10310.1016/j.cirp.2010.03.103 ↗
35. 10.1109/TAP.2009.201607310.1109/TAP.2009.2016073 ↗
36. 10.1109/JSEN.2014.236039210.1109/JSEN.2014.2360392 ↗
37. 10.1021/ac061748o10.1021/ac061748o ↗
38. 10.3390/s2060021910.3390/s20600219 ↗
39. 10.1021/acssensors.8b0026710.1021/acssensors.8b00267 ↗
40. 10.1002/adfm.20130388610.1002/adfm.201303886 ↗
41. 10.1088/0964-1726/22/10/10501510.1088/0964-1726/22/10/105015 ↗
42. 10.1109/63.60256210.1109/63.602562 ↗
43. 10.1002/smll.20180405510.1002/smll.201804055 ↗
44. 10.1002/adma.20090420110.1002/adma.200904201 ↗
45. 10.1002/adfm.20090060410.1002/adfm.200900604 ↗
46. 10.1063/1.311438110.1063/1.3114381 ↗
47. Teng L. · Soft Rob. · 2018 · 00 · 1
48. Chan Y. H. · 2017 · 43210.1109/ICAR.2017.8023645 ↗
49. 10.1038/s41598-018-21479-710.1038/s41598-018-21479-7 ↗
50. 10.1016/j.eml.2016.12.00610.1016/j.eml.2016.12.006 ↗
51. 10.1021/acsami.7b1859410.1021/acsami.7b18594 ↗
52. Yin L. · Adv. Mater. Technol. · 2018 · 3 · 1
53. 10.1126/scirobotics.aar755510.1126/scirobotics.aar7555 ↗
54. 10.1039/C7SM01693J10.1039/C7SM01693J ↗
55. 10.1109/JSEN.2015.245975110.1109/JSEN.2015.2459751 ↗
56. Baldwin A. · 2017 · 227
57. Sun R. · Appl. Phys. Lett. · 2018 · 112 · 1
58. 10.1038/s41598-016-0028-x10.1038/s41598-016-0028-x ↗
59. Liu X. · 2014 · 1
60. Yao S. · IEEE Antennas Propag. Soc. AP‐S Int. Symp. · 2014 · 2 · 374
61. 10.1038/s41563-017-0011-310.1038/s41563-017-0011-3 ↗
62. Yao S. · 2014 · 1
63. 10.1109/TAP.2015.248192210.1109/TAP.2015.2481922 ↗
64. 10.1016/j.jpowsour.2016.06.03710.1016/j.jpowsour.2016.06.037 ↗
65. 10.1109/TAP.1977.114164310.1109/TAP.1977.1141643 ↗
66. 10.1109/4.79262010.1109/4.792620 ↗