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Large scale simulation of NiTi helical spring actuators under repeated thermomechanical cycles

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TLDR
In this article, two different geometric configurations of four and two-coil helical springs subjected to axial end-forces are investigated under the effect of a large number of thermal cycles leading to the saturated deformation state of the coils.
Abstract
As typically utilized in applications, a shape memory alloy (SMA) actuator operates under a large number of thermomechanical cycles, hence the importance of accounting for the cyclic behavior characteristics in modeling and numerical simulation of these actuators. To this end, the present work is focused on the characterization of the cyclic, evolutionary behavior of binary 55NiTi using a newly developed, multi-axial, material-modeling framework and its finite element analysis (FEA) implementation for use in the simulations of SMA actuators. In particular, two different geometric configurations of four- and two-coil helical springs subjected to axial end-forces are investigated under the effect of a large number of thermal cycles leading to the saturated deformation state of the coils. In addition, two different boundary conditions were examined, corresponding to: (a) the loading end cross section assumed to be free-to-twist, and (b) the loading end cross section assumed to be restrained against twist rotation. The study has led to the following five important conclusions: (i) the states of stresses and strains in the coils exhibited marked spatial non-homogeneities, both along the length as well as the cross section of the wires; (ii) the cyclic deformation response of the coils exhibits a similar evolutionary character to that of the 55NiTi material when tested under simple isobaric tensile stress conditions; (iii) the end boundary conditions affect the evolution of the deformation response; (iv) the magnitudes of the evolving nonlinear deformation states (i.e., axial displacements on the martensite and austenite sides, as well as the actuation displacement) were found to be proportional to the number of coils in an essentially linear manner, and (v) the change in coil diameter, while maintaining the pitch height, wire diameter and the number of coils fixed, has a significant effect on the response of the helical spring, both with regard to the resulting stress state and the evolutionary axial displacement behavior during the thermal cycles.

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Citations
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Journal ArticleDOI

Theoretical and numerical modeling of shape memory alloys accounting for multiple phase transformations and martensite reorientation

TL;DR: In this paper, the authors developed a refined and general three-dimensional phenomenological constitutive model for shape memory alloys (SMAs), along the lines of what recently proposed by Auricchio and Bonetti (2013) in a more theoretical context.
Journal ArticleDOI

Thermomechanical cycling of a NiTi shape memory alloy-macroscopic response and microstructural evolution

TL;DR: In this article, a Ni49.9Ti50.1 (at.%) shape memory alloy was investigated to relate the macroscopic evolution in behavior observed during thermal cycling to the responsible microscopic mechanism through texture, internal strain, peak shape, and phase evolution from the neutron data.
Journal ArticleDOI

A thermomechanically coupled finite deformation constitutive model for shape memory alloys based on Hencky strain

TL;DR: In this paper, a thermomechanically coupled constitutive model for polycrystalline shape memory alloys (SMAs) undergoing finite deformation is presented, where three important characteristics of SMA behavior are considered in the development of the model, namely the effect of coexistence between austenite and two martensite variants, the variation of hysteresis size with temperature and the smooth material response at initiation and completion of phase transformation.
Journal ArticleDOI

Adaptive locally resonant metamaterials leveraging shape memory alloys

TL;DR: Locally resonant metamaterials leveraging shape memory alloy (SMA) springs are explored in this paper in an effort to develop adaptive metammaterial configurations that can exhibit tunable bandgap properties as well as enhanced damping capabilities.
Journal ArticleDOI

A thermodynamically-consistent microplane model for shape memory alloys

TL;DR: In this paper, a thermodynamic-consistent formulation of shape memory alloys using microplane formulation in a thermodynamically consistent framework has been proposed, where a free energy potential is defined at the microplane level and a new formulation based on Volumetric-deviatoric split is proposed.
References
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Journal ArticleDOI

Shape-memory alloys: macromodelling and numerical simulations of the superelastic behavior

TL;DR: In this paper, generalized plasticity is adopted as a framework for the development of one-and three-dimensional constitutive models for shape-memory alloys, such as superelasticity, different material behavior in tension and compression, and the single-variant-martensite reorientation process.
Journal ArticleDOI

Shape-memory alloys: modelling and numerical simulations of the finite-strain superelastic behavior

TL;DR: In this article, a constitutive model was developed to reproduce the superelastic behavior of shape-memory alloys at finite strains, and the numerical implementation within a finite-element scheme was discussed in detail.
Journal ArticleDOI

Shape memory alloys, Part II: Modeling of polycrystals

TL;DR: In this paper, the authors summarized work on the micromechanical modeling of polycrystalline shape memory alloys (SMAs) and compared the predictions of several models directly compared and correlated with experimental results.
Book

Advanced Mechanics of Materials

TL;DR: In this paper, the authors introduce the concept of stress components in Cartesian coordinates and apply it to Elastic Elastic Materials (ELM) in order to find the relationship between stress and Strain.
Journal ArticleDOI

Numerical implementation of a shape memory alloy thermomechanical constitutive model using return mapping algorithms

TL;DR: In this paper, a comprehensive study on the numerical implementation of SMA thermomechanical constitutive response using return mapping (elastic predictor-transformation corrector) algorithms is presented.
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