Dielectrostriction Effect in Flexible Dielectric Realized by Ordered Doping of Iron Nanoparticles for Wide-Range Pressure Detection
Source abstract
Abstract
Wide-range pressure sensors address diverse applications and have great research value. Nonetheless, the sensitivity of most of the pressure sensors reported in the literature decreases dramatically in the high-pressure region due to the limitation of their sensing mechanism. To solve this problem, the “dielectrostriction effect” was taken into consideration in the design of a flexible capacitive pressure sensor, in which the dielectric constant varies with the applied pressure and is boosted by controlling the distribution of the doped nanosized iron particles in the dielectrics with magnets. This method obviously improved the performance of the fabricated pressure sensor, which had a wide detection range (0–250 kPa) and exhibited a high sensitivity of 10.2% kPa–1 over the pressure range of 0–125 kPa and of 2% kPa–1 over the pressure range of 125–250 kPa. Consequently, the method of enhancing the dielectrostriction effect proposed in this work demonstrates great potential in wide-range pressure measurements.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Analytical Chemistry and Sensors · Gas Sensing Nanomaterials and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Computer Science and Technology, Nanjing Tech University, No. 30 South Puzhu Road, Nanjing211800, China
Key Laboratory of MEMS of the Ministry of Education, Southeast University, No. 2 Sipailou, Nanjing210096, China
Funding
Jiangsu Provincial Department of Education · National Natural Science Foundation of China
References (59)
Show source-provided references
1. 10.1016/j.jmst.2019.11.01010.1016/j.jmst.2019.11.010 ↗
2. 10.1016/j.mser.2017.02.00110.1016/j.mser.2017.02.001 ↗
3. 10.1016/j.ensm.2020.01.03010.1016/j.ensm.2020.01.030 ↗
4. 10.1002/inf2.1215810.1002/inf2.12158 ↗
5. 10.1002/adma.20170037510.1002/adma.201700375 ↗
6. 10.1016/j.mattod.2019.08.00510.1016/j.mattod.2019.08.005 ↗
7. 10.1126/scirobotics.abb982210.1126/scirobotics.abb9822 ↗
8. 10.1002/admt.20207001110.1002/admt.202070011 ↗
9. 10.1002/adhm.20170088910.1002/adhm.201700889 ↗
10. 10.1021/acsami.0c0867710.1021/acsami.0c08677 ↗
11. 10.1002/admt.20200098410.1002/admt.202000984 ↗
12. 10.1021/acs.nanolett.9b0521710.1021/acs.nanolett.9b05217 ↗
13. 10.1039/D0TC05255H10.1039/D0TC05255H ↗
14. 10.1109/JPROC.2019.293080810.1109/JPROC.2019.2930808 ↗
15. 10.1021/acsnano.7b0247410.1021/acsnano.7b02474 ↗
16. 10.1093/nsr/nwx14810.1093/nsr/nwx148 ↗
17. 10.3390/s2016440710.3390/s20164407 ↗
18. 10.1002/adfm.20201053310.1002/adfm.202010533 ↗
19. 10.1021/acsami.9b0746510.1021/acsami.9b07465 ↗
20. 10.1002/advs.20210542310.1002/advs.202105423 ↗
21. 10.1002/advs.20220247010.1002/advs.202202470 ↗
22. 10.1039/C4MH00147H10.1039/C4MH00147H ↗
23. 10.1016/j.cej.2019.04.14210.1016/j.cej.2019.04.142 ↗
24. 10.1021/acsami.0c0277410.1021/acsami.0c02774 ↗
25. 10.1063/5.007766710.1063/5.0077667 ↗
26. 10.1002/adma.20200789010.1002/adma.202007890 ↗
27. 10.1016/j.nanoen.2021.10627210.1016/j.nanoen.2021.106272 ↗
28. 10.1016/j.compscitech.2020.10860010.1016/j.compscitech.2020.108600 ↗
29. 10.1038/s41467-020-17298-y10.1038/s41467-020-17298-y ↗
30. 10.1021/acsami.9b0763610.1021/acsami.9b07636 ↗
31. 10.1039/C9TC06352H10.1039/C9TC06352H ↗
32. 10.1109/TED.2020.298299810.1109/TED.2020.2982998 ↗
33. 10.1063/1.497837410.1063/1.4978374 ↗
34. 10.1109/JSEN.2022.316556010.1109/JSEN.2022.3165560 ↗
35. 10.1088/1361-665X/ab4ac610.1088/1361-665X/ab4ac6 ↗
36. 10.1088/1361-6528/ab369510.1088/1361-6528/ab3695 ↗
37. 10.1021/acsami.9b0265910.1021/acsami.9b02659 ↗
38. 10.1016/j.cej.2021.12864910.1016/j.cej.2021.128649 ↗
39. 10.1021/acssensors.9b0226010.1021/acssensors.9b02260 ↗
40. 10.1109/JMEMS.2010.208250010.1109/JMEMS.2010.2082500 ↗
41. 10.1109/JSEN.2021.305827510.1109/JSEN.2021.3058275 ↗
42. Feynman, R. P.Introduction to nanotechnology. https://www.zyvex.com/nanotech/feynman.html. 2, 1960.
43. 10.1021/acsami.9b1796610.1021/acsami.9b17966 ↗
44. Huang J. Q. · 2010 · 24
45. Kao K. C. · 2004
46. 10.1109/I2MTC.2012.622952510.1109/I2MTC.2012.6229525 ↗
47. 10.1109/itec.2017.799331910.1109/itec.2017.7993319 ↗
48. 10.1002/admi.20200087510.1002/admi.202000875 ↗
49. 10.1023/A:100995041575810.1023/A:1009950415758 ↗
50. 10.1016/S0022-0728(75)80102-110.1016/S0022-0728(75)80102-1 ↗
51. 10.1016/s0022-0728(76)80229-x10.1016/s0022-0728(76)80229-x ↗
52. 10.1023/A:100439851490110.1023/A:1004398514901 ↗
53. 10.1126/scirobotics.abc813410.1126/scirobotics.abc8134 ↗
54. 10.1126/sciadv.aba106210.1126/sciadv.aba1062 ↗
55. Xie M. · ACS Appl. Mater. Interfaces · 2019 · 4 · 12816
56. 10.1126/scirobotics.aau691410.1126/scirobotics.aau6914 ↗
57. 10.1002/adma.20170370010.1002/adma.201703700 ↗
58. 10.1021/acsami.7b1661110.1021/acsami.7b16611 ↗
59. 10.1002/adma.20130424810.1002/adma.201304248 ↗