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

advancing and receding volume deformation shape-memory polymer thermoresponsiveness tunable topography wettability

Journal

ACS applied materials & interfaces
ISSN: 1944-8252
Titre abrégé: ACS Appl Mater Interfaces
Pays: United States
ID NLM: 101504991

Informations de publication

Date de publication:
04 May 2022
Historique:
pubmed: 20 4 2022
medline: 20 4 2022
entrez: 19 4 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35438953
doi: 10.1021/acsami.2c01078
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20208-20219

Auteurs

Gissela Constante (G)

Faculty of Engineering Sciences, University of Bayreuth, Ludwig Thoma Strasse 36A, 95447 Bayreuth, Germany.

Indra Apsite (I)

Faculty of Engineering Sciences, University of Bayreuth, Ludwig Thoma Strasse 36A, 95447 Bayreuth, Germany.

Paul Auerbach (P)

Fakultät Informatik/Mathematik, Hochschule für Technik und Wirtschaft Dresden, 01069 Dresden, Germany.

Sebastian Aland (S)

Fakultät Informatik/Mathematik, Hochschule für Technik und Wirtschaft Dresden, 01069 Dresden, Germany.
Fakultät Mathematik und Informatik, Technische Universität Bergakademie Freiberg, 09599 Freiberg, Germany.

Dennis Schönfeld (D)

Fraunhofer Institute for Applied Polymer Research IAP, Geiselbergstrasse 69, 14476 Postdam, Germany.

Thorsten Pretsch (T)

Fraunhofer Institute for Applied Polymer Research IAP, Geiselbergstrasse 69, 14476 Postdam, Germany.

Pavel Milkin (P)

Faculty of Engineering Sciences, University of Bayreuth, Ludwig Thoma Strasse 36A, 95447 Bayreuth, Germany.

Leonid Ionov (L)

Faculty of Engineering Sciences, University of Bayreuth, Ludwig Thoma Strasse 36A, 95447 Bayreuth, Germany.
Bavarian Polymer Institute, University of Bayreuth, 95447 Bayreuth, Germany.

Classifications MeSH