3D Printed Microdroplet Curing: Unravelling the Physics of On-Spot Photopolymerization
Source abstract
Abstract
Droplet-based direct-write printing (one form of 3D printing) methods, like inkjet printing, aerosol jet printing (AJP), etc., have changed our ideas about bottom-up additive manufacturing. AJP is capable of 3D printing by depositing microdroplets that lead to certain benefits in 3D printing of microscale structures. Here, we study the in situ photopolymerization-based curing of a microdroplet. The droplet is simultaneously spreading and curing, which leads to the rise of two time scales, the spreading time scale (τs) and the photopolymerization time scale (τp). When τs ≪ τp, the spreading occurs very fast and is independent of polymerization. If the time scales are of the same order (τs ∼ τp), the spreading is significantly affected by the polymerization. For this case, a progressive increase in the viscosity of the drop during the spreading ensures a much slower spreading and also a much weaker extent of spreading (i.e., the spreading ceases at a much smaller spreading radius of the drop). This complex thermofluidics is eventually manifested as distinct differences in the time-dependent velocity, temperature, and curing (or equivalently, monomer concentration) profiles within the drop between the two cases.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Innovative Microfluidic and Catalytic Techniques Innovation · Surface Modification and Superhydrophobicity · Nanomaterials and Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, University of Maryland, College Park, Maryland 20742, United States
The Rowland Institute at Harvard, Harvard University, Cambridge, Massachusetts 02142, United States
Laboratory for Physical Sciences, 8050 Greenmead Drive, College Park, Maryland 20740, United States
Funding
NextFlex Consortium
References (57)
Show source-provided references
1. 10.3390/polym607203710.3390/polym6072037 ↗
2. 10.1021/ma902693x10.1021/ma902693x ↗
3. 10.1007/s13534-012-0057-810.1007/s13534-012-0057-8 ↗
4. 10.1016/j.elecom.2003.10.01610.1016/j.elecom.2003.10.016 ↗
5. 10.1021/jp405363x10.1021/jp405363x ↗
6. 10.1007/s11814-011-0145-y10.1007/s11814-011-0145-y ↗
7. 10.1016/j.electacta.2013.12.12110.1016/j.electacta.2013.12.121 ↗
8. 10.1038/s41427-018-0096-410.1038/s41427-018-0096-4 ↗
9. 10.1002/mame.20180045310.1002/mame.201800453 ↗
10. 10.1016/j.snb.2013.12.02710.1016/j.snb.2013.12.027 ↗
11. 10.1016/j.jiec.2015.12.00610.1016/j.jiec.2015.12.006 ↗
12. 10.1016/j.talanta.2019.01.11610.1016/j.talanta.2019.01.116 ↗
13. 10.1021/acsbiomaterials.8b0035010.1021/acsbiomaterials.8b00350 ↗
14. 10.1016/j.biomaterials.2013.05.06010.1016/j.biomaterials.2013.05.060 ↗
15. 10.1016/j.progpolymsci.2012.08.00210.1016/j.progpolymsci.2012.08.002 ↗
16. 10.1002/mame.20140020410.1002/mame.201400204 ↗
17. 10.1016/j.jconrel.2012.03.00210.1016/j.jconrel.2012.03.002 ↗
18. 10.1038/srep2047010.1038/srep20470 ↗
19. 10.1002/adma.20170634410.1002/adma.201706344 ↗
20. 10.1021/acs.chemrev.7b0007410.1021/acs.chemrev.7b00074 ↗
21. 10.1016/j.dental.2015.09.01810.1016/j.dental.2015.09.018 ↗
22. 10.1016/j.apmt.2017.02.00410.1016/j.apmt.2017.02.004 ↗
23. 10.1007/s11998-007-9059-310.1007/s11998-007-9059-3 ↗
24. 10.1002/admt.20170017810.1002/admt.201700178 ↗
25. 10.1002/admt.20180031210.1002/admt.201800312 ↗
26. 10.1088/1361-6439/aa817f10.1088/1361-6439/aa817f ↗
27. 10.1039/C7SM02540H10.1039/C7SM02540H ↗
28. 10.1039/C8MH01450G10.1039/C8MH01450G ↗
29. Hubert, P.; Johnston, A.; Poursartip, A.; Nelson, K. Cure Kinetics and Viscosity Models for Hexcel 8552 Epoxy Resin. In International SAMPE Symposium & Exhibition, Long Beach, CA, May 6–10, 2001; pp 2341–2354.
30. 10.1016/j.arabjc.2011.05.02110.1016/j.arabjc.2011.05.021 ↗
31. Tang, Y. Stereolithography Cure Process Modeling. Doctoral Dissertation, Georgia Institute of Technology, 2005.
32. Odian G. · 200410.1002/047147875X ↗
33. 10.1016/S0009-2509(01)00287-110.1016/S0009-2509(01)00287-1 ↗
34. 10.1007/s10973-007-8432-x10.1007/s10973-007-8432-x ↗
35. 10.1016/0002-1571(72)90045-310.1016/0002-1571(72)90045-3 ↗
36. Noble, D. R.; Kucala, A.; Martinez, M. J. A Conformal Decomposition Finite Element Method for Dynamic Wetting Applications. In ASME 2017 Fluids Engineering Division Summer Meeting, July 30–August 3, 2017; American Society of Mechanical Engineers Digital Collection.10.1115/FEDSM2017-69378 ↗
37. https://doc.comsol.com/5.4/doc/com.comsol.help.cfd/CFDModuleUsersGuide.pdf.
38. Venkatesan, J.; Ganesan, S. On the Navier-slip Boundary Condition for Computations of Impinging Droplets. In 2015 IEEE 22nd International Conference on High Performance Computing Workshops, Dec 16–19, 2015; IEEE; pp 2–11.10.1109/HiPCW.2015.10 ↗
39. Hossain, M. Modelling and computation of polymer curing. Doctoral Dissertation, Universitat Erlangen-Nürnberg, 2010; https://d-nb.info/1013120612/34.
40. https://www.crystran.co.uk/optical-materials/silica-glass-sio2.
41. 10.1002/adem.20170108410.1002/adem.201701084 ↗
42. 10.1126/sciadv.aau872310.1126/sciadv.aau8723 ↗
43. 10.1002/polb.1047910.1002/polb.10479 ↗
44. 10.1080/15685551.2016.115253910.1080/15685551.2016.1152539 ↗
45. 10.1088/0953-8984/21/46/46412710.1088/0953-8984/21/46/464127 ↗
46. 10.1021/la971301y10.1021/la971301y ↗
47. 10.1016/j.jnnfm.2013.10.00210.1016/j.jnnfm.2013.10.002 ↗
48. 10.1021/la700232y10.1021/la700232y ↗
49. 10.1016/0094-4548(81)90039-410.1016/0094-4548(81)90039-4 ↗
50. 10.1016/S0040-6031(02)00611-110.1016/S0040-6031(02)00611-1 ↗
51. 10.1002/adma.20160482710.1002/adma.201604827 ↗
52. 10.1088/0960-1317/25/10/10700210.1088/0960-1317/25/10/107002 ↗
53. 10.1039/C7TC04873D10.1039/C7TC04873D ↗
54. 10.1016/j.addma.2019.10084310.1016/j.addma.2019.100843 ↗
55. 10.1115/1.403459110.1115/1.4034591 ↗
56. 10.1088/2058-8585/aace2810.1088/2058-8585/aace28 ↗
57. 10.1088/2058-8585/aadffd10.1088/2058-8585/aadffd ↗