Facilitating Dielectric Elastomer Actuator Multilayer Fabrication and Performance Through Low‐Contact‐Resistance Hybrid Electrodes, Scalable Vacuum Filtration, and Adaptive Pre‐Clearing
Source abstract
Abstract
Abstract Networks of conductive nanoparticles have been used as electrodes for dielectric elastomer actuator multilayers because of their excellent extensibility and low added stiffness. Nanoparticle network topography, however, has typically effected a tradeoff between conductivity and breakdown strength. This has limited actuators to a corresponding tradeoff between either high operating frequencies and efficiencies or high stresses, strains, and energy densities. This tradeoff is resolved by spatially patterning multiple nanoparticles to produce hybrid electrodes. Sparse networks of high‐aspect‐ratio carbon nanotubes allow for self‐clearing in the body of the electrode, yielding 54.7 V µm −1 breakdown strength, 86.4% that of the neat elastomer. Dense networks of low‐aspect‐ratio carbon black at the external interfaces, meanwhile, provide low contact resistance (44.09 kΩmm). Two tools essential for their practical deployment are developed: a scalable fabrication process and an automated pre‐clearing algorithm. The fabrication method leverages the batch spray and stamp paradigm in concert with vacuum filtration to scalably deposit nanoparticle electrodes with minimal parameter tuning, enabling the production of a 100‐layer actuator capable of 14% strain. The adaptive pre‐clearing algorithm discriminates between and responds to a range of defect‐induced failures in newly fabricated actuators, eliminating the need for human oversight and standardizing the break‐in procedure.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Dielectric materials and actuators · Advanced Sensor and Energy Harvesting Materials · Ferroelectric and Piezoelectric Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
John A Paulson School of Engineering and Applied Sciences Harvard University 150 Western Ave Boston MA 124077 USA
Department of Mechanical Science and Engineering University of Illinois Urbana‐Champaign 1206 W. Green St Urbana IL 14589 USA
Funding
National Science Foundation · Army Research Office
References (42)
Show source-provided references
1. 10.1073/pnas.181505311610.1073/pnas.1815053116 ↗
2. 10.1117/12.65970010.1117/12.659700 ↗
3. 10.1126/scirobotics.aaz645110.1126/scirobotics.aaz6451 ↗
4. Shi Y. · Science · 2022
5. 10.1016/j.sna.2009.08.02710.1016/j.sna.2009.08.027 ↗
6. 10.1109/TMECH.2010.209016410.1109/TMECH.2010.2090164 ↗
7. 10.1109/TMECH.2014.235933710.1109/TMECH.2014.2359337 ↗
8. 10.1063/5.004395910.1063/5.0043959 ↗
9. 10.1063/1.474288910.1063/1.4742889 ↗
10. 10.1002/adma.20160184210.1002/adma.201601842 ↗
11. 10.1002/aisy.20200013610.1002/aisy.202000136 ↗
12. Cohen A. J. · Adv. Funct. Mater. · 2022
13. Jiang S. · Adv. Eng. Mater. · 2021 · 2101017 · 1
14. Kim S. · Sci. Rob. · 2023
15. Zhao H. · Adv. Funct. Mater. · 2018 · 1804328 · 1
16. Ren Z. · Adv. Mater. · 2021
17. Collins P. G. · Science · 2001
18. 10.1002/adma.20070101810.1002/adma.200701018 ↗
19. Xu S. · Sci. Rob. · 2023
20. 10.1109/TRO.2021.305364710.1109/TRO.2021.3053647 ↗
21. Ji X. · Adv. Funct. Mater. · 2020 · 2006639 · 1
22. 10.3390/polym1520407110.3390/polym15204071 ↗
23. 10.1016/j.sna.2011.03.00410.1016/j.sna.2011.03.004 ↗
24. Xu S. · Proc. Natl. Acad. Sci. USA · 2021 · 118 · 34
25. 10.1007/s11012-015-0273-210.1007/s11012-015-0273-2 ↗
26. Lee D.‐y. · Soft Robotics · 2022
27. 10.1039/C7SM01329A10.1039/C7SM01329A ↗
28. 10.1038/s41598-017-18209-w10.1038/s41598-017-18209-w ↗
29. 10.1021/acsmacrolett.9b0083610.1021/acsmacrolett.9b00836 ↗
30. 10.1088/1361-665X/ab2f3410.1088/1361-665X/ab2f34 ↗
31. 10.1063/1.486381610.1063/1.4863816 ↗
32. Waloddi Weibull B. · J. Appl. Mech. · 1951
33. A.Behboodi S.Lee in2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) 2019 pp.499–505.10.1109/ICORR.2019.8779378 ↗
34. Hajiesmaili E. · Mater. Horiz. · 2022 · 287 · 5454
35. C.Gillespie A.Marzo F.Scarpa J.Rossiter A. T.Conn inElectroactive Polymer Actuators and Devices (EAPAD) XXI vol.10966 SPIE 2019 pp.283–288.
36. 10.1109/LRA.2022.317948610.1109/LRA.2022.3179486 ↗
37. 10.1002/adma.20150426410.1002/adma.201504264 ↗
38. J.Shintake B.Schubert S.Rosset H.Shea D.Floreano in2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015 pp.1097–1102.10.1109/IROS.2015.7353507 ↗
39. 10.1002/adma.20200795210.1002/adma.202007952 ↗
40. B.Holschuh E.Obropta L.Buechley D.Newman AIAA SPACE Conference and Exposition2012 2012 1.
41. 10.1039/C7SM00546F10.1039/C7SM00546F ↗
42. 10.3390/act1203009510.3390/act12030095 ↗