Finite element simulation of shape memory alloy wires using a user material subroutine: Parametric study on heating rate, conductivity, and heat convection

Abstract

In this work, the thermal and mechanical responses of shape memory alloys are studied under different loading and boundary conditions. To this end, a common one-dimensional constitutive model for shape memory alloys capturing both pseudoelasticity and shape memory effect is implemented into ABAQUS commercial finite element package via a user material subroutine. The main benefit of this one-dimensional user material is its capability to simulate any mechanical as well as thermal loading path. Hence, it can be utilized in finite element simulation of any complicated smart structure consisting of shape memory alloy wires. To validate the proposed numerical approach, its predictions are shown to be in a good agreement with those obtained by analytical and other approved numerical solutions under different thermal and mechanical loading and boundary conditions. Since shape memory alloys are integrated into many applications as actuation elements, the actuation response of an axial shape memory alloy actuator heated from one end is studied using finite element method. Finally, the developed user material is employed in finite element simulation of a smart landing gear as a real-world smart structure.

Computational simulations for the development of novel solid-state smart NiTi-Al thermal diodes

“…Phase-transforming smart materials can be conceived as a viable option for building effective thermal diodes, especially when such materials have well-characterized and tunable nonlinear temperaturedependent properties. Interestingly, under thermomechanical loading, several SMAs offer such type of tunable nonlinear characteristics (Alipour et al, 2014;Iadicola and Shaw, 2002;Malukhin and Ehmann, 2012). By creating composites consisting of layers of SMA and another bulk material, it is feasible, as demonstrated in this work, to create effective thermal diodes that operate at a tunable temperature range and offer a high rectification ratio.…”

Shape Memory Corrosion-Resistant Polymeric Materials

“…Polyaniline-epoxy-poly (methylhydrosiloxane)divinylbenzene blend [20] 5:1 * 10 −4 3 International Journal of Polymer Science dependent on ξ, ε is the strain, ε l is the maximum recoverable strain, Θ is the thermal coefficient of expansion, T is the current temperature, and T 0 is the reference temperature [27]. These models try to simulate results similar to those shown in Figures 3 and 4.…”

Optimisation fiabiliste d’une structure en alliage à mémoire de forme

“…Néanmoins, le progrès effectué dans le domaine de l'élaboration de matériaux à fort couplage multi physique a conduit à l'utilisation de matériaux "fonctionnels". Dans cette catégorie de matériaux dites aussi des matériaux intelligents ou avancés , les plus généralement utilisés sont ceux présentant un couplage magnétique/mécanique (magnétostrictif), électrique/ mécanique (piézo-électrique), ou encore thermique/mécanique (alliages à mémoire de forme) [1]. L'alliage à mémoire de forme (SMA) permet la conception des actionneurs ou de capteurs caractérisés par une grande simplicité [2,3].…”

“…Ces changements sont dus aux transformations martensitiques entre la cristallographie de la phase parentale la plus ordonnée, l'austénite, et la cristallographie de la phase parentale la moins ordonnée, la martensite. Les caractéristiques principales de cette catégorie de matériaux sont les capacités : (1) de récupérer la forme originale après une grande déformation induite par une charge mécanique (pseudo-élasticité) et (2) de récupérer des contraintes permanentes lors du chauffage (effet de mémoire de forme) [1]. Cependant, l'utilisation de tels matériaux nécessite d'améliorer sans cesse les techniques de conception des structures intelligents.…”