Dynamical behaviors of nanodroplets impinging on solid surfaces in the presence of electric fields
Source abstract
Abstract
The collision of droplets with solid surfaces is a common phenomenon in nature. However, droplets exhibit interesting motion states when captured by surfaces. This work investigates the dynamical behavior and the wetting condition of droplets captured by different surfaces in electric fields via molecular dynamics (MD) simulations. By adjusting the initial velocity of droplets (V0), electric field intensity (E) and directions, the spreading and wetting properties of droplets are analyzed systematically. The results indicate that the electric stretching effect occurs when a droplet strikes the solid surface in electric fields and the stretch length (ht) of droplets continuously increases with the enhancement of E. In the low field strength regime, the direction of electric fields has an effect on ht: the value of ht is larger in the case of positive electric fields as compared to negative electric fields. In the high field strength regime, the direction of electric fields makes no difference to ht: the droplet is stretched observably, and the breakdown voltage U is calculated to be 0.57 V nm-1 under both positive and negative electric fields. Droplets impacting with surfaces at initial velocities display various states. The droplet bounces off the surface regardless of the direction of electric field at V0 ≥ 1.4 nm ps-1. The maximum spreading factor βmax and ht both increase with V0 and are not affected by field directions. The simulation results are consistent with experiments, and the relationships between E, βmax, ht and V0 are proposed, which provide the theoretical basis for large-scale numerical calculations such as computational fluid dynamics.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Electrohydrodynamics and Fluid Dynamics · Surface Modification and Superhydrophobicity · Nanopore and Nanochannel Transport Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Advanced Manufacturing, Fuzhou University, Fuzhou Fujian 362251, China
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou Fujian 350108, China
Funding
National Natural Science Foundation of China
References (41)
Show source-provided references
1. Israr · J. Mol. Liq. · 2022 · 353 · 11870410.1016/j.molliq.2022.118704 ↗
2. Phil · Lab Chip · 2003 · 3 · 2810.1039/b210825a ↗
3. Zhou · Virtual Phys. Prototyping · 2007 · 2 · 26510.1080/17452750701747278 ↗
4. Young · ACS Appl. Mater. Interfaces · 2010 · 2 · 331810.1021/am100757g ↗
5. Srinivasan · Dep. Electr. Eng. · 2003 · 2 · 104
6. Israr · Exp. Therm. Fluid Sci. · 2021 · 125 · 11037210.1016/j.expthermflusci.2021.110372 ↗
7. Liu · Fundam. Res. · 2021 · 2 · 2667
8. Li · J. Electrost. · 2021 · 112 · 10359210.1016/j.elstat.2021.103592 ↗
9. Sun · Colloids Surf., A · 2020 · 603 · 12513610.1016/j.colsurfa.2020.125136 ↗
10. Xu · J. Eng. Thermophys. · 2020 · 41 · 430
11. Chen · Comput. Mater. Sci. · 2020 · 171 · 10922310.1016/j.commatsci.2019.109223 ↗
12. Rioboo · Atomization Sprays · 2001 · 11 · 15510.1615/AtomizSpr.v11.i2.40 ↗
13. Han · Appl. Surf. Sci. · 2022 · 600 · 15402510.1016/j.apsusc.2022.154025 ↗
14. Du · Colloids Surf., A · 2020 · 609 · 12564910.1016/j.colsurfa.2020.125649 ↗
15. Liu · Chem. Eng. · 2021 · 49 · 49
16. Pollack · Lab Chip · 2002 · 2 · 9610.1039/b110474h ↗
17. Zhang · Nanomaterials · 2022 · 12 · 24710.3390/nano12020247 ↗
18. Pan · Acta Phys. Sin. · 2021 · 70 · 313
19. Pan · Surf. Mount Technol. · 2022 · 51 · 1
20. Zong · Chem. Phys. Lett. · 2017 · 685 · 2710.1016/j.cplett.2017.07.013 ↗
21. Li · Appl. Surf. Sci. · 2018 · 454 · 19210.1016/j.apsusc.2018.05.167 ↗
22. Li · Phys. Chem. Chem. Phys. · 2018 · 20 · 1649310.1039/C8CP01766B ↗
23. Li · J. Phys. Chem. Lett. · 2020 · 11 · 639610.1021/acs.jpclett.0c01718 ↗
24. Lawrence · Chem. Phys. Lett. · 2003 · 372 · 84210.1016/S0009-2614(03)00526-8 ↗
25. Plimpton · J. Comput. Phys. · 1995 · 117 · 110.1006/jcph.1995.1039 ↗
26. Hammonds · Comput. Phys. Commun. · 1991 · 62 · 33610.1016/0010-4655(91)90105-T ↗
27. Bekele · J. Phys. Chem. C · 2020 · 124 · 2010910.1021/acs.jpcc.0c05167 ↗
28. Qi · Mater. Lett. · 2003 · 58 · 174510.1016/j.matlet.2003.10.048 ↗
29. Jirsák · J. Mol. Liq. · 2007 · 136 · 31010.1016/j.molliq.2007.08.018 ↗
30. Mendelev · Philos. Mag. · 2003 · 83 · 397710.1080/14786430310001613264 ↗
31. Hoover · Phys. Rev. A · 1985 · 31 · 169510.1103/PhysRevA.31.1695 ↗
32. Washizu · Lubr. Sci. · 2010 · 22 · 32310.1002/ls.126 ↗
33. Liu · Phys. Rev. Fluids · 2020 · 5 · 07420110.1103/PhysRevFluids.5.074201 ↗
34. Li · Appl. Surf. Sci. · 2019 · 498 · 14379310.1016/j.apsusc.2019.143793 ↗
35. Bird · Nature · 2013 · 503 · 38510.1038/nature12740 ↗
36. Hu · Chin. Phys. B · 2014 · 23 · 07470210.1088/1674-1056/23/7/074702 ↗
37. Tian · Chem. Eng. Sci. · 2021 · 239 · 11663610.1016/j.ces.2021.116636 ↗
38. Chen · Appl. Surf. Sci. · 2017 · 396 · 105810.1016/j.apsusc.2016.11.089 ↗
39. Zhang · J. Mol. Liq. · 2021 · 333 · 11603910.1016/j.molliq.2021.116039 ↗
40. Islamova · Powder Technol. · 2022 · 403 · 11737110.1016/j.powtec.2022.117371 ↗
41. Paulo · J. Colloid Interface Sci. · 2004 · 276 · 39210.1016/j.jcis.2004.04.017 ↗