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Shape Memory and Superelasticity

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29.03.2021 | Technical Article

Quantification of Shape Memory Alloy Damping Capabilities Through the Prediction of Inherent Behavioral Aspects

verfasst von: Anargyros A. Karakalas, Theodoros T. Machairas, Dimitris C. Lagoudas, Dimitris A. Saravanos

Erschienen in: Shape Memory and Superelasticity | Ausgabe 1/2021

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Abstract

In this work the time response of pseudoelastic Shape Memory Alloy (SMA) wires is numerically simulated. In particular, the effect of their operation under partial phase transformation is investigated and quantified. Additionally, the effect of the thermomechanical coupling under cyclic operation is evaluated both under adiabatic and natural convection conditions. To this end, proper finite element models are generated considering a low-frequency harmonic sinusoidal excitation. The effect of the partial transformation and thermomechanical coupling on the operation of the SMA is highlighted by comparison with respective results acquired by finite element models which neglect the modified hardening function that accounts for the partial loops. The results suggest that the latent heat produced during forward transformation highly affects the energy dissipation potential of SMAs. The hardening behavior also affects the transformation evolution and therefore impacts the amount of heat generation/absorption. Although both phenomena, when accounted for, result in the prediction of an altered hysteresis area and consequently different dissipation capabilities, the scope of the paper is to highlight their importance on the calculated values of dissipated energy and loss factor. These quantities are of particular interest since they constitute crucial design parameters for the development of smart dampers employing SMA materials.

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Titel: Quantification of Shape Memory Alloy Damping Capabilities Through the Prediction of Inherent Behavioral Aspects
verfasst von: Anargyros A. Karakalas
Theodoros T. Machairas
Dimitris C. Lagoudas
Dimitris A. Saravanos
Publikationsdatum: 29.03.2021
Verlag: Springer US
Erschienen in: Shape Memory and Superelasticity / Ausgabe 1/2021
Print ISSN: 2199-384X
Elektronische ISSN: 2199-3858
DOI: https://doi.org/10.1007/s40830-021-00313-6

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