Bitte benutzen Sie diese Referenz, um auf diese Ressource zu verweisen:
Volltext verfügbar? / Dokumentlieferung
doi:10.22028/D291-40960
Titel: | A Physics-Based Hybrid Dynamical Model of Hysteresis in Polycrystalline Shape Memory Alloy Wire Transducers |
VerfasserIn: | Mandolino, Michele A. Scholtes, Dominik Ferrante, Francesco Rizzello, Gianluca |
Sprache: | Englisch |
Titel: | IEEE/ASME Transactions on Mechatronics |
Bandnummer: | 28 |
Heft: | 5 |
Seiten: | 2529-2540 |
Verlag/Plattform: | IEEE |
Erscheinungsjahr: | 2023 |
Freie Schlagwörter: | Hybrid systems hysteresis minor loops modeling polycrystalline shape memory alloy (SMA) wire actuator |
DDC-Sachgruppe: | 500 Naturwissenschaften |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Shape memory alloys (SMAs) are a class of smart materials that exhibit a macroscopic contraction of up to 5% when heated via an electric current. This effect can be exploited for the development of novel unconventional actuators. Despite having many features such as compactness, lightweight, and high energy density, commercial SMA wires are characterized by a highly nonlinear behavior, which manifests itself as a load-, temperature-, and rate-dependent hysteresis exhibiting a complex shape and minor loops. Accurate modeling and compensation of such hysteresis are fundamental for the development of highperformance SMA applications. In this work, we propose a new dynamical model to describe the complex hysteresis of polycrystalline SMA wires. The approach is based on a reformulation of the Müller–Achenbach–Seelecke model for uniaxial SMA wires within a hybrid dynamical framework. In this way, we can significantly reduce the numerical complexity and computation time without losing accuracy and physical interpretability. After describing the model, an extensive experimental validation campaign is carried out on a 75-µm diameter SMA wire specimen. The new hybrid model will pave the development of hybrid controllers and observers for SMA actuators. |
DOI der Erstveröffentlichung: | 10.1109/TMECH.2023.3253250 |
URL der Erstveröffentlichung: | https://ieeexplore.ieee.org/document/10081109 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-409606 hdl:20.500.11880/36776 http://dx.doi.org/10.22028/D291-40960 |
ISSN: | 1941-014X 1083-4435 |
Datum des Eintrags: | 7-Nov-2023 |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Systems Engineering |
Professur: | NT - Prof. Dr. Stefan Seelecke |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Es gibt keine Dateien zu dieser Ressource.
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.