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Titel: Electro‐thermo‐mechanical characterization of shape memory alloy wires for actuator and sensor applications—Part 1: The effects of training
VerfasserIn: Scholtes, Dominik
Seelecke, Stefan
Motzki, Paul
Sprache: Englisch
Titel: Engineering Reports
Bandnummer: 6
Heft: 10
Verlag/Plattform: Wiley
Erscheinungsjahr: 2024
Freie Schlagwörter: hysteresis
NiTi
resistance
R-phase
self-sensing
shakedown
wo-way-effect
DDC-Sachgruppe: 600 Technik
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: So far shape memory alloys (SMA) are mostly characterized by theirthermo-mechanical behavior due to the underlying thermal effect. In technicalapplications however, where their benefits like low weight and compact designbecome relevant, they are activated electrically. This work presents methods fora thorough and systematic characterization of SMA wire samples under Jouleheating with the focus on aspects relevant for applications. The goal is to achievea precise understanding of the sensor and actuator properties of SMA wire sam-ples with different trainings under varying loads. All experiments are conductedon a custom designed test bench with a commercially available NiTi wire with72 μm diameter, which enables the direct comparisons of tensile tests to actua-tion tests. The characterization consists of tensile tests and actuator tests withvarying load and heating power for differently trained wire samples. The resultsvividly represent the influence of heating power, training and changing loadson stroke output, working point and the functional stability of SMA actuatorwires. Especially, the evolution of the resistance signal and the influence of theR-phase on self-sensing is discussed. The proposed method enables to compareand choose the best suitable alloy with a fitting training for a desired application.
DOI der Erstveröffentlichung: 10.1002/eng2.12867
URL der Erstveröffentlichung: https://onlinelibrary.wiley.com/doi/10.1002/eng2.12867
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-432725
hdl:20.500.11880/38810
http://dx.doi.org/10.22028/D291-43272
ISSN: 2577-8196
Datum des Eintrags: 25-Okt-2024
Bezeichnung des in Beziehung stehenden Objekts: Supporting Information
In Beziehung stehendes Objekt: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Feng2.12867&file=eng212867-sup-0001-Figures.docx
Fakultät: NT - Naturwissenschaftlich- Technische Fakultät
Fachrichtung: NT - Systems Engineering
Professur: NT - Prof. Dr. Stefan Seelecke
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons