TY - JOUR
T1 - Finite element simulation of thermomechanical training on functional stability of shape memory alloy wave spring actuator
AU - Wang, Jun
AU - Zhang, Weihong
AU - Zhu, Jihong
AU - Xu, Yingjie
AU - Gu, Xiaojun
AU - Moumni, Ziad
N1 - Publisher Copyright:
© The Author(s) 2019.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Pre-service thermomechanical training is of great significance to achieve functional stability for shape memory alloy device. This article presents a finite element simulation of the training behavior of a shape memory alloy wave spring actuator using a thermomechanically coupled and finite-strain shape memory alloy model (Wang et al., 2017a). The model is implemented into ABAQUS/Explicit by means of a user-defined material subroutine VUMAT. The introduction of a finite-Hencky-strain return-mapping integration scheme substantially improves the numerical efficiency and stability. Model predictions are validated against the experimental data. The good agreement between both demonstrates the capabilities of the model of well describing the training behavior of shape memory alloy when subjected to large cyclic thermomechanical loading. Simulation results illustrate several primary thermomechanical characteristics during training process, such as the expansion of the phase transformation zone, the accumulation of the residual deformation, and the concentration of the internal stress. The present finite element approach provides a powerful tool in design and optimization of shape memory alloy wave spring actuator, especially to improve the geometric precision and to enhance the two-way shape memory effect.
AB - Pre-service thermomechanical training is of great significance to achieve functional stability for shape memory alloy device. This article presents a finite element simulation of the training behavior of a shape memory alloy wave spring actuator using a thermomechanically coupled and finite-strain shape memory alloy model (Wang et al., 2017a). The model is implemented into ABAQUS/Explicit by means of a user-defined material subroutine VUMAT. The introduction of a finite-Hencky-strain return-mapping integration scheme substantially improves the numerical efficiency and stability. Model predictions are validated against the experimental data. The good agreement between both demonstrates the capabilities of the model of well describing the training behavior of shape memory alloy when subjected to large cyclic thermomechanical loading. Simulation results illustrate several primary thermomechanical characteristics during training process, such as the expansion of the phase transformation zone, the accumulation of the residual deformation, and the concentration of the internal stress. The present finite element approach provides a powerful tool in design and optimization of shape memory alloy wave spring actuator, especially to improve the geometric precision and to enhance the two-way shape memory effect.
KW - constitutive model
KW - finite element simulation
KW - functional stability
KW - Shape memory alloy
KW - thermomechanical training
KW - wave spring actuator
UR - http://www.scopus.com/inward/record.url?scp=85063340500&partnerID=8YFLogxK
U2 - 10.1177/1045389X19831356
DO - 10.1177/1045389X19831356
M3 - 文章
AN - SCOPUS:85063340500
SN - 1045-389X
VL - 30
SP - 1239
EP - 1251
JO - Journal of Intelligent Material Systems and Structures
JF - Journal of Intelligent Material Systems and Structures
IS - 8
ER -