journal article·2021-09-01Open access

Optimal design of micro-topography on natural leaf surface

Lei Wang, Feng Zhao, Shousheng Tang, Hongbin Zhao, Jing Liu

AIP Advances· Volume 11· Issue 9

Abstract

Optimal design of flexible micro-topography is of fundamental importance for numerous applications, such as in membranes, sensors, and MEMS. Different from rigid micro-topography, surfaces displaying flexible micro-topography are able to absorb external energy by transforming their shape, which makes them suitable to be used under complex operating conditions. In this study, we find that the micro-structures occurring on biological natural surfaces all have a common structural feature, namely, an ellipsoid shape. The flexible sleek micro-structures without right angles are able to decrease the stress concentration and deformation in the loading process, which may prevent the nano-structures from being damaged on the upper surfaces. To clearly understand the performance of these micro-topographies, a series model is established by force analysis. The model uncovers the design principles that lead to the mechanical enhancement of natural composites for expanding the application of flexible micro-/nano-structured membranes.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Surface Modification and Superhydrophobicity · Advanced Materials and Mechanics · Adhesion, Friction, and Surface Interactions

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

Affiliations

Beijing Key Lab of Cryo-Biomedical Engineering and Key Lab of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences 1 , Beijing 100190, China

Specialized Robot Engineering and Technological Center of Hainan Province, Hainan Vocational University of Science and Technology 2 , Haikou 571126, China

State Key Laboratory of Advanced Materials for Smart Sensing, General Research Institute for Nonferrous Metals 3 , Beijing 100088, People’s Republic of China

Department of Biomedical Engineering, School of Medicine, Tsinghua University 4 , Beijing 100084, People’s Republic of China

Funding

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

References (27)

Show source-provided references
1. Nature · 2002 · 419 · 88710.1038/419887a ↗
2. Science · 1994 · 266 · 196110.1126/science.266.5193.1961 ↗
3. Sci. China: Phys., Mech. Astron. · 2010 · 53 · 224510.1007/s11433-010-4172-1 ↗
4. Annu. Rev. Mater. Res. · 2012 · 42 · 23110.1146/annurev-matsci-070511-155046 ↗
5. Nat. Mater. · 2003 · 2 · 45710.1038/nmat924 ↗
6. Langmuir · 2010 · 26 · 498410.1021/la9036452 ↗
7. Adv. Mater. · 2016 · 28 · 420310.1002/adma.201504150 ↗
8. Nanomaterials · 2013 · 3 · 52410.3390/nano3030524 ↗
9. Analyst · 2005 · 130 · 42110.1039/b414248a ↗
10. J. Ind. Eng. Chem. · 2016 · 42 · 110.1016/j.jiec.2016.07.027 ↗
11. J. Adhes. Sci. Technol. · 2010 · 24 · 269310.1163/016942410x508244 ↗
12. Ind. Eng. Chem. · 1936 · 28 · 98810.1021/ie50320a024 ↗
13. Trans. Faraday Soc. · 1944 · 40 · 54610.1039/tf9444000546 ↗
14. Adv. Mater. · 2016 · 28 · 772910.1002/adma.201602480 ↗
15. Angew. Chem., Int. Ed. · 2004 · 43 · 433810.1002/anie.200460333 ↗
16. Langmuir · 2018 · 34 · 1248210.1021/acs.langmuir.8b02550 ↗
17. Soft Matter · 2007 · 3 · 17810.1039/b612667g ↗
18. Adv. Mater. · 2003 · 14 · 185710.1002/adma.200290020 ↗
19. Biomaterials · 2016 · 104 · 8710.1016/j.biomaterials.2016.06.050 ↗
20. 2018
21. Appl. Surf. Sci. · 2011 · 257 · 626410.1016/j.apsusc.2011.02.057 ↗
22. Adv. Mater. Interfaces · 2020 · 7 · 200004010.1002/admi.202000040 ↗
23. Langmuir · 2011 · 27 · 2510.1021/la104277q ↗
24. Nanoselect · 2020 · 2 · 54110.1002/nano.202000203 ↗
25. Nature · 2020 · 582 · 5510.1038/s41586-020-2331-8 ↗
26. Langmuir · 2008 · 24 · 411410.1021/la703821h ↗
27. Int. J. Fatigue · 2002 · 24 · 92310.1016/s0142-1123(02)00012-9 ↗