journal article·2024-11Open access

Direct Ink Write 3D Printing of Fully Dense and Functionally Graded Liquid Metal Elastomer Foams

Spencer Pak, Michael D. Bartlett, Eric J. Markvicka

Advanced Functional Materials· Volume 34· Issue 46

Abstract

Abstract Liquid metal (LM) elastomer composites offer promising potential in soft robotics, wearable electronics, and human‐machine interfaces. Direct ink write (DIW) 3D printing offers a versatile manufacturing technique capable of precise control over LM microstructures, yet challenges such as interfilament void formation in multilayer structures impact material performance. Here, a DIW strategy is introduced to control both LM microstructure and material architecture. Investigating three key process parameters–nozzle height, extrusion rate, and nondimensionalized nozzle velocity–it is found that nozzle height and velocity predominantly influence filament geometry. The nozzle height primarily dictates the aspect ratio of the filament and the formation of voids. A threshold print height based on filament geometry is identified; below the height, significant surface roughness occurs, and above the ink fractures, which facilitates the creation of porous structures with tunable stiffness and programmable LM microstructure. These porous architectures exhibit reduced density and enhanced thermal conductivity compared to cast samples. When used as a dielectric in a soft capacitive sensor, they display high sensitivity (gauge factor = 9.0), as permittivity increases with compressive strain. These results demonstrate the capability to simultaneously manipulate LM microstructure and geometric architecture in LM elastomer composites through precise control of print parameters, while maintaining geometric fidelity in the printed design.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Advanced Sensor and Energy Harvesting Materials · Electrospun Nanofibers in Biomedical Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Mechanical & Materials Engineering Smart Materials & Robotics Lab, University of Nebraska–Lincoln Lincoln NE 68588 USA

Mechanical Engineering, Soft Materials and Structures Lab Virginia Tech Blacksburg VA 24061 USA

Macromolecules Innovation Institute Virginia Tech Blacksburg VA 24061 USA

School of Computing University of Nebraska–Lincoln Lincoln NE 68588 USA

Electrical & Computer Engineering University of Nebraska–Lincoln Lincoln NE 68588 USA

Funding

Division of Civil, Mechanical and Manufacturing Innovation · Nebraska Space Grant Consortium · Division of Electrical, Communications and Cyber Systems

References (58)

Show source-provided references
1. 10.1038/nature2100310.1038/nature21003 ↗
2. 10.1002/adma.20210885510.1002/adma.202108855 ↗
3. 10.1002/adma.20220018210.1002/adma.202200182 ↗
4. Hur O. · Addit. Manuf. · 2023 · 79
5. 10.1002/adma.20170615710.1002/adma.201706157 ↗
6. 10.1039/D0SM00803F10.1039/D0SM00803F ↗
7. 10.1016/j.jmatprotec.2021.11747010.1016/j.jmatprotec.2021.117470 ↗
8. 10.1002/aenm.20220141310.1002/aenm.202201413 ↗
9. 10.1002/admt.20220053410.1002/admt.202200534 ↗
10. 10.1038/s41586-019-1736-810.1038/s41586-019-1736-8 ↗
11. 10.1002/adma.20170402810.1002/adma.201704028 ↗
12. 10.1002/adhm.20190173510.1002/adhm.201901735 ↗
13. 10.1016/j.addma.2021.10231310.1016/j.addma.2021.102313 ↗
14. 10.1016/j.jmatprotec.2021.11747010.1016/j.jmatprotec.2021.117470 ↗
15. 10.1002/adma.20170616410.1002/adma.201706164 ↗
16. 10.1038/s41586-018-0474-710.1038/s41586-018-0474-7 ↗
17. 10.1088/1361-665X/aae96f10.1088/1361-665X/aae96f ↗
18. 10.1021/acsami.7b1185110.1021/acsami.7b11851 ↗
19. 10.1002/adma.20140180410.1002/adma.201401804 ↗
20. 10.1016/j.compscitech.2014.10.00910.1016/j.compscitech.2014.10.009 ↗
21. 10.1177/00219983970310030310.1177/002199839703100303 ↗
22. 10.1016/j.ijfatigue.2006.02.03310.1016/j.ijfatigue.2006.02.033 ↗
23. 10.3390/ma1317383110.3390/ma13173831 ↗
24. 10.1002/adfm.20180433610.1002/adfm.201804336 ↗
25. 10.1021/acsami.7b1581410.1021/acsami.7b15814 ↗
26. 10.1002/smll.20210476210.1002/smll.202104762 ↗
27. 10.1002/adfm.20200083210.1002/adfm.202000832 ↗
28. 10.1002/adfm.20230972510.1002/adfm.202309725 ↗
29. 10.1038/s41563-018-0084-710.1038/s41563-018-0084-7 ↗
30. Zu W. · ACS Appl. Mater. Interfaces · 2024 · 16
31. 10.1038/s43246-021-00169-410.1038/s43246-021-00169-4 ↗
32. 10.1002/adfm.20230410110.1002/adfm.202304101 ↗
33. 10.1002/adma.20190386410.1002/adma.201903864 ↗
34. 10.1038/s41563-021-00921-810.1038/s41563-021-00921-8 ↗
35. 10.1021/acsami.9b0456910.1021/acsami.9b04569 ↗
36. 10.1002/adma.20190066310.1002/adma.201900663 ↗
37. 10.1002/adma.20150624310.1002/adma.201506243 ↗
38. 10.1002/adfm.20230895410.1002/adfm.202308954 ↗
39. 10.1016/j.addma.2023.10392810.1016/j.addma.2023.103928 ↗
40. 10.1109/ICMLA.2019.0021810.1109/ICMLA.2019.00218 ↗
41. 10.1016/j.addma.2022.10289610.1016/j.addma.2022.102896 ↗
42. 10.1016/j.matdes.2010.12.04410.1016/j.matdes.2010.12.044 ↗
43. 10.1002/adfm.20200399510.1002/adfm.202003995 ↗
44. Klempner D. · 1991
45. 10.1039/b801895b10.1039/b801895b ↗
46. 10.1073/pnas.161676911410.1073/pnas.1616769114 ↗
47. 10.1021/ie901169410.1021/ie9011694 ↗
48. 10.1002/adfm.20200261110.1002/adfm.202002611 ↗
49. 10.1039/C7MH00084G10.1039/C7MH00084G ↗
50. 10.1021/cr200440z10.1021/cr200440z ↗
51. 10.1002/anie.20190053010.1002/anie.201900530 ↗
52. 10.1002/adem.20170019510.1002/adem.201700195 ↗
53. 10.1002/adma.20190466810.1002/adma.201904668 ↗
54. 10.1146/annurev-fluid-010814-01461210.1146/annurev-fluid-010814-014612 ↗
55. 10.1016/j.msea.2005.02.04510.1016/j.msea.2005.02.045 ↗
56. 10.1103/PhysRevLett.114.17450110.1103/PhysRevLett.114.174501 ↗
57. 10.1115/1.403136310.1115/1.4031363 ↗
58. 10.1002/admt.20210107410.1002/admt.202101074 ↗