Directional Rebound of Microdroplets on a Magneto-Responsive Micropillar Array Surface
Source abstract
Abstract
The manipulation of droplet movement behavior is of scientific importance and has practical applications in many fields, such as biological analysis, water collection, oil-water separation, deicing, antifrosting, and so on. Using the magneto-responsive surface to dynamically change the surface morphology is an effective method to realize droplet manipulation. A replica molding technique was used to fabricate the surface with the magneto-responsive micropillar array, and the direction of the micropillar array could be changed dynamically with the magnetic induction intensity. The mechanism of the droplet directional rebound on the magneto-responsive surface and the implementation of the controllability of droplet movement were investigated. On the magneto-responsive surface, it was achievable to realize the directional rebound of droplets on the micrometer scale. The critical condition for the droplet directional rebound was identified. The force and energy of the droplet during the spreading and retraction stages were analyzed, which lay a theoretical foundation for the precise control of droplet directional rebound.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Surface Modification and Superhydrophobicity · Electrowetting and Microfluidic Technologies · Fluid Dynamics and Heat Transfer
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Beijing Key Laboratory of Flow and Heat Transfer of Phase Changing in Micro and Small Scale, School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Funding
National Natural Science Foundation of China
References (36)
Show source-provided references
1. 10.1016/j.bios.2016.11.01310.1016/j.bios.2016.11.013 ↗
2. 10.1038/nature1695610.1038/nature16956 ↗
3. 10.1002/dro2.5510.1002/dro2.55 ↗
4. 10.1039/D1TA00927C10.1039/D1TA00927C ↗
5. 10.1016/j.apmt.2019.02.00410.1016/j.apmt.2019.02.004 ↗
6. 10.1021/acsnano.8b0510910.1021/acsnano.8b05109 ↗
7. 10.1016/j.compscitech.2021.10908610.1016/j.compscitech.2021.109086 ↗
8. 10.1038/ncomms225310.1038/ncomms2253 ↗
9. 10.1038/nature0872910.1038/nature08729 ↗
10. 10.1021/acs.langmuir.8b0255010.1021/acs.langmuir.8b02550 ↗
11. 10.1039/B612667G10.1039/B612667G ↗
12. 10.1126/science.abg755210.1126/science.abg7552 ↗
13. 10.1021/acsami.1c0720910.1021/acsami.1c07209 ↗
14. 10.1016/j.xcrp.2021.10072110.1016/j.xcrp.2021.100721 ↗
15. 10.1021/acs.langmuir.2c0056110.1021/acs.langmuir.2c00561 ↗
16. 10.1002/adma.20140198510.1002/adma.201401985 ↗
17. 10.1073/pnas.192128111710.1073/pnas.1921281117 ↗
18. 10.1038/ncomms1496810.1038/ncomms14968 ↗
19. 10.1126/sciadv.ade208510.1126/sciadv.ade2085 ↗
20. 10.1038/s41563-019-0440-210.1038/s41563-019-0440-2 ↗
21. 10.1002/adfm.20221335010.1002/adfm.202213350 ↗
22. 10.1002/pol.2021031110.1002/pol.20210311 ↗
23. 10.1002/adfm.20190650710.1002/adfm.201906507 ↗
24. 10.1021/acsami.8b0419010.1021/acsami.8b04190 ↗
25. 10.1021/acsami.7b0740910.1021/acsami.7b07409 ↗
26. 10.1039/C6TA08333A10.1039/C6TA08333A ↗
27. 10.1002/advs.20210383410.1002/advs.202103834 ↗
28. 10.3390/mi1203032510.3390/mi12030325 ↗
29. 10.1021/acsami.3c0106410.1021/acsami.3c01064 ↗
30. 10.1016/j.anucene.2017.10.02510.1016/j.anucene.2017.10.025 ↗
31. 10.1021/acsami.0c0151110.1021/acsami.0c01511 ↗
32. 10.1021/acs.langmuir.3c0016210.1021/acs.langmuir.3c00162 ↗
33. 10.1016/j.ijheatmasstransfer.2018.09.06310.1016/j.ijheatmasstransfer.2018.09.063 ↗
34. 10.1016/j.icheatmasstransfer.2014.02.00610.1016/j.icheatmasstransfer.2014.02.006 ↗
35. 10.1016/j.ijheatmasstransfer.2018.02.01710.1016/j.ijheatmasstransfer.2018.02.017 ↗
36. 10.1016/0021-9991(88)90002-210.1016/0021-9991(88)90002-2 ↗