Smart Mechanically Tunable Surfaces with Shape Memory Behavior and Wetting-Programmable Topography

Title data

Constante Ibarra, Gissela Katherine ; Apsite, Indra ; Auerbach, Paul ; Aland, Sebastian ; Schönfeld, Dennis ; Pretsch, Thorsten ; Milkin, Pavel ; Ionov, Leonid:
Smart Mechanically Tunable Surfaces with Shape Memory Behavior and Wetting-Programmable Topography.
In: ACS Applied Materials & Interfaces. (19 April 2022) .
ISSN 1944-8252
DOI: https://doi.org/10.1021/acsami.2c01078

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Abstract in another language

This paper reports for the first time the fabrication and investigation of wetting properties of structured surfaces formed by lamellae with an exceptionally high aspect ratio of up to 57:1 and more. The lamellar surfaces were fabricated using a polymer with tunable mechanical properties and shape-memory behavior. It was found that wetting properties of such structured surfaces depend on temperature, and thermal treatment history-structured surfaces are wetted easier at elevated temperature or after cooling to room temperature when the polymer is soft because of the easier deformability of lamellae. The shape of lamellae deformed by droplets can be temporarily fixed at low temperature and remains fixed upon heating to room temperature. Heating above the transition temperature of the shape-memory polymer restores the original shape. The high aspect ratio allows tuning of geometry not only manually, as it is done in most works reported previously but can also be made by a liquid droplet and is controlled by temperature. This behavior opens new opportunities for the design of novel smart elements for microfluidic devices such as smart valves, whose state and behavior can be switched by thermal stimuli: valves that can or cannot be opened that are able to close or can be fixed in an open or closed states.