Smart mechanically tunable surfaces with shape memory behavior and wetting-programmable topography
Gissela Constante, Indra Apsite, Paul Auerbach, Sebastian Aland,, Dennis Sch\"onfeld, Thorsten Pretsch, Pavel Milkin, Leonid Ionov

TL;DR
This paper introduces a novel fabrication of high-aspect-ratio, shape-memory polymer surfaces with tunable wetting properties controlled by temperature and thermal history, enabling smart microfluidic device applications.
Contribution
It reports the first fabrication and investigation of lamellar surfaces with high aspect ratio and shape-memory behavior for tunable wetting properties influenced by thermal stimuli.
Findings
Wetting properties depend on temperature and thermal treatment.
High aspect ratio allows geometry tuning by droplets and temperature.
Polymer can switch between hard and soft states based on thermal pre-history.
Abstract
This contribution reports for the first time on fabrication and investigation of wetting properties of structured surfaces containing lamellae with an exceptionally high aspect ratio - height/width ratio demonstrated of 57:1. The lamellar surface was made 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 - lamellae 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 orginal shape. The high aspect ratio allows tuning of geometry…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Surface Modification and Superhydrophobicity · Advanced Sensor and Energy Harvesting Materials
