Please use this identifier to cite or link to this item: doi:10.22028/D291-43272
Title: Electro‐thermo‐mechanical characterization of shape memory alloy wires for actuator and sensor applications—Part 1: The effects of training
Author(s): Scholtes, Dominik
Seelecke, Stefan
Motzki, Paul
Language: English
Title: Engineering Reports
Volume: 6
Issue: 10
Publisher/Platform: Wiley
Year of Publication: 2024
Free key words: hysteresis
NiTi
resistance
R-phase
self-sensing
shakedown
wo-way-effect
DDC notations: 600 Technology
Publikation type: Journal Article
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 of the first publication: 10.1002/eng2.12867
URL of the first publication: https://onlinelibrary.wiley.com/doi/10.1002/eng2.12867
Link to this record: urn:nbn:de:bsz:291--ds-432725
hdl:20.500.11880/38810
http://dx.doi.org/10.22028/D291-43272
ISSN: 2577-8196
Date of registration: 25-Oct-2024
Description of the related object: Supporting Information
Related object: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Feng2.12867&file=eng212867-sup-0001-Figures.docx
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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