Superlubricity Microcapsules
Source abstract
Abstract
Superlubricity, a lubricating state in which the coefficient of friction (COF) is smaller than 0.01, has been achieved at the macroscale in a variety of aqueous solutions and oils, as well as two-dimensional (2D) and carbon materials; nevertheless, it has been rarely realized with polymer composites. In the present work, macroscale superlubricity was achieved with a polymer composite on the basis of the microcapsule technique, which is an effective self-lubricating method for composites by releasing lubricants on demand. Solid submicrometer capsules were used as the basic units of the matrix of a polymer composite, and oil-containing microcapsules were used as lubrication fillers. On the basis of this material design strategy, robust superlubricity with a COF of 0.003-0.009 was achieved in a wide temperature range (0-200 °C) under atmospheric conditions, and it could be kept for a sliding distance of over 500 m. It has been found that the trace oil released from the microcapsules at the sliding interface favored the formation of a hydrodynamic film and a boundary tribo-film with an ultralow shear strength. This work provided a novel method to achieve superlubricity with polymer composites and potentially expanded the engineering application of superlubricity.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Tribology and Wear Analysis · Lubricants and Their Additives · Tribology and Lubrication Engineering
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Tribology in Advanced Equipment
Tsinghua University
Beijing Key Laboratory of Long-life Technology of Precise Rotation and Transmission mechanisms
Beijing Institute of Control Engineering
Institute of New Materials and Advanced Manufacturing
Beijing Academy of Science and Technology
Beijing Institute of Astronautical Systems Engineering
Center of Superlubricity Engineering, Ji Hua Laboratory
Funding
Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China
References (61)
Show source-provided references
1. 10.1016/S0043-1648(03)00295-310.1016/S0043-1648(03)00295-3 ↗
2. Erdemir A. · 2020
3. 10.1063/PT.3.389710.1063/PT.3.3897 ↗
4. 10.1126/science.116939910.1126/science.1169399 ↗
5. 10.1007/s40544-014-0053-310.1007/s40544-014-0053-3 ↗
6. 10.1126/sciadv.adf390210.1126/sciadv.adf3902 ↗
7. 10.1016/j.triboint.2021.10700610.1016/j.triboint.2021.107006 ↗
8. 10.1016/j.jcis.2022.12.07910.1016/j.jcis.2022.12.079 ↗
9. 10.1021/acs.langmuir.8b0086710.1021/acs.langmuir.8b00867 ↗
10. 10.1038/nature1894810.1038/nature18948 ↗
11. 10.1002/adfm.20240114310.1002/adfm.202401143 ↗
12. 10.1007/s40544-023-0767-110.1007/s40544-023-0767-1 ↗
13. 10.1016/j.carbon.2019.05.07010.1016/j.carbon.2019.05.070 ↗
14. 10.1021/acs.nanolett.3c0029310.1021/acs.nanolett.3c00293 ↗
15. 10.1021/acsami.8b1473010.1021/acsami.8b14730 ↗
16. 10.1021/acsanm.0c0084110.1021/acsanm.0c00841 ↗
17. 10.1002/adfm.20231088010.1002/adfm.202310880 ↗
18. 10.1038/3502502010.1038/35025020 ↗
19. 10.1007/s40544-022-0728-010.1007/s40544-022-0728-0 ↗
20. 10.1016/S0257-8972(01)01417-710.1016/S0257-8972(01)01417-7 ↗
21. 10.1038/s41467-017-01717-810.1038/s41467-017-01717-8 ↗
22. 10.1021/acsami.3c0170410.1021/acsami.3c01704 ↗
23. 10.1021/acsami.2c1628610.1021/acsami.2c16286 ↗
24. 10.1126/science.126202410.1126/science.1262024 ↗
25. 10.1038/s41467-018-03549-610.1038/s41467-018-03549-6 ↗
26. 10.1002/adfm.20211136510.1002/adfm.202111365 ↗
27. 10.1063/1.511614210.1063/1.5116142 ↗
28. 10.1002/adma.20200203910.1002/adma.202002039 ↗
29. 10.1021/acsnano.2c0964010.1021/acsnano.2c09640 ↗
30. 10.1038/s41563-018-0144-z10.1038/s41563-018-0144-z ↗
31. 10.1038/s41467-023-42297-010.1038/s41467-023-42297-0 ↗
32. 10.1007/s40544-019-0312-410.1007/s40544-019-0312-4 ↗
33. 10.1038/ncomms712410.1038/ncomms7124 ↗
34. 10.1016/j.wear.2019.01.10710.1016/j.wear.2019.01.107 ↗
35. 10.1016/j.colsurfa.2017.01.04610.1016/j.colsurfa.2017.01.046 ↗
36. 10.1016/j.jcis.2018.05.08110.1016/j.jcis.2018.05.081 ↗
37. 10.1016/j.jcis.2018.09.05910.1016/j.jcis.2018.09.059 ↗
38. 10.1016/j.compositesa.2018.01.03310.1016/j.compositesa.2018.01.033 ↗
39. 10.1039/C9NR00767A10.1039/C9NR00767A ↗
40. 10.3390/polym1110157810.3390/polym11101578 ↗
41. 10.1016/j.porgcoat.2023.10741610.1016/j.porgcoat.2023.107416 ↗
42. 10.1002/app.4533110.1002/app.45331 ↗
43. 10.1002/pen.2494910.1002/pen.24949 ↗
44. 10.3109/02652048.2016.117191710.3109/02652048.2016.1171917 ↗
45. 10.1016/j.colsurfa.2021.12690610.1016/j.colsurfa.2021.126906 ↗
46. 10.1007/s11249-015-0492-710.1007/s11249-015-0492-7 ↗
47. 10.16865/j.cnki.1000-7555.2017.09.01510.16865/j.cnki.1000-7555.2017.09.015 ↗
48. 10.1007/s11249-006-9123-710.1007/s11249-006-9123-7 ↗
49. 10.1039/C5RA15250J10.1039/C5RA15250J ↗
50. 10.1080/10402004.2018.146242110.1080/10402004.2018.1462421 ↗
51. 10.1021/ef020082810.1021/ef0200828 ↗
52. 10.1016/j.carbon.2022.01.03710.1016/j.carbon.2022.01.037 ↗
53. 10.1016/j.colsurfa.2018.11.04710.1016/j.colsurfa.2018.11.047 ↗
54. Muzyka, R.; Drewniak, S.; Pustelny, T.; Gryglewicz, G.; Smedowski, L. RAMAN spectroscopic study of graphite oxide obtained from different graphite precursors. In 11th Conference on Integrated Optics: Sensors, Sensing Structures, and Methods; 2016, p. 10034.10.1117/12.2244461 ↗
55. 10.1007/s12274-012-0269-310.1007/s12274-012-0269-3 ↗
56. 10.1021/acs.jpcc.9b1087510.1021/acs.jpcc.9b10875 ↗
57. 10.1016/j.triboint.2018.06.01010.1016/j.triboint.2018.06.010 ↗
58. 10.1080/10402004.2021.191934110.1080/10402004.2021.1919341 ↗
59. 10.1016/j.triboint.2022.10815110.1016/j.triboint.2022.108151 ↗
60. 10.1016/j.ymssp.2023.11104110.1016/j.ymssp.2023.111041 ↗
61. 10.1016/j.cej.2023.14678010.1016/j.cej.2023.146780 ↗