The Effect of Frictional Metasurfaces on Energy Dissipation in Mechanical Metamaterials
Source abstract
Abstract
In recent years continued advancements in high‐precision fabrication technologies have led to new possibilities for tuning the tribological properties of materials through surface patterns. Applied to frictional metamaterials, this opens opportunities to enhance energy dissipation performance through the design of the contact surface topography. This study investigates the influence of various metamaterial contact surface patterns, which we refer to as frictional metasurfaces, on energy dissipation in sliding friction through both experiments and FE simulations. Several surface pattern geometries were tested and compared to the baseline represented by a flat smooth surface. The length scale of these patterns was constrained by manufacturing considerations. In addition, the use of different materials for the metasurface and the main body of the metamaterial was examined. These tests and simulations show that non‐smooth surfaces can indeed increase friction and energy dissipation, but the magnitude of their contribution emerges from interactions between the geometry and the elasticity of the metamaterial structure that supports the contact surface, as manifested through the contact pressure distribution, and particularly the scale of pressure and friction concentrations and their evolution during the load cycle.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Adhesion, Friction, and Surface Interactions · Brake Systems and Friction Analysis · Mechanical stress and fatigue analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering Auckland University of Technology Auckland 1142 New Zealand
College of Science and Engineering Flinders University Adelaide 5042 Australia
References (28)
Show source-provided references
1. 10.1088/0022-3727/42/21/21401610.1088/0022-3727/42/21/214016 ↗
2. 10.1007/s40544-018-0201-210.1007/s40544-018-0201-2 ↗
3. 10.1016/j.triboint.2018.02.00510.1016/j.triboint.2018.02.005 ↗
4. 10.1016/j.progsurf.2024.10075310.1016/j.progsurf.2024.100753 ↗
5. 10.1016/j.apergo.2015.03.01810.1016/j.apergo.2015.03.018 ↗
6. 10.1016/j.apergo.2004.06.01010.1016/j.apergo.2004.06.010 ↗
7. 10.1016/j.apergo.2005.11.00710.1016/j.apergo.2005.11.007 ↗
8. 10.1080/00423114.2013.80358010.1080/00423114.2013.803580 ↗
9. 10.3390/vehicles301000610.3390/vehicles3010006 ↗
10. 10.1016/j.scitotenv.2022.15695010.1016/j.scitotenv.2022.156950 ↗
11. 10.1016/0043-1648(80)90291-410.1016/0043-1648(80)90291-4 ↗
12. 10.3390/polym1307114310.3390/polym13071143 ↗
13. 10.3390/ma1514474510.3390/ma15144745 ↗
14. 10.1016/j.triboint.2021.10709610.1016/j.triboint.2021.107096 ↗
15. Sha Z. · Tribol. Trans. · 2024 · 3 · 1
16. 10.1046/j.1460-2687.2000.00052.x10.1046/j.1460-2687.2000.00052.x ↗
17. 10.1016/j.coldregions.2016.02.00510.1016/j.coldregions.2016.02.005 ↗
18. A. W.Caldwell Development And Comparison Of 3D Dynamic Models Of Golf Clubhead‐Ball Impacts University of Waterloo2023.10.5703/1288284317484 ↗
19. 10.1016/j.triboint.2022.10793710.1016/j.triboint.2022.107937 ↗
20. 10.3390/machines1009074810.3390/machines10090748 ↗
21. 10.1016/j.engfailanal.2022.10652010.1016/j.engfailanal.2022.106520 ↗
22. 10.1016/j.eml.2020.10084710.1016/j.eml.2020.100847 ↗
23. 10.1016/j.ijsolstr.2025.11328210.1016/j.ijsolstr.2025.113282 ↗
24. 10.1126/science.adk423410.1126/science.adk4234 ↗
25. 10.1126/science.adn107510.1126/science.adn1075 ↗
26. 10.1016/j.eml.2021.10147510.1016/j.eml.2021.101475 ↗
27. Jeong E. · Adv. Mater. Technol. · 2024 · 2400614
28. 10.1002/adem.20250055810.1002/adem.202500558 ↗