An Implicit Algorithm for the Numerical Simulation of Shape-Memory Alloys

Becker, R ; Stolken, J ; Jannetti, C ; Bassani, J

Lawrence Livermore National Laboratory

关键词: Efficiency;    Alloys;    75 Condensed Matter Physics, Superconductivity And Superfluidity;    36 Materials Science;    Simulation;   

DOI  :  10.2172/15013637
RP-ID  :  UCRL-TR-202335
RP-ID  :  W-7405-ENG-48
RP-ID  :  15013637

美国|英语

来源: UNT Digital Library

【 摘 要 】

Shape-memory alloys (SMA) have the potential to be used in a variety of interesting applications due to their unique properties of pseudoelasticity and the shape-memory effect. However, in order to design SMA devices efficiently, a physics-based constitutive model is required to accurately simulate the behavior of shape-memory alloys. The scope of this work is to extend the numerical capabilities of the SMA constitutive model developed by Jannetti et. al. (2003), to handle large-scale polycrystalline simulations. The constitutive model is implemented within the finite-element software ABAQUS/Standard using a user defined material subroutine, or UMAT. To improve the efficiency of the numerical simulations, so that polycrystalline specimens of shape-memory alloys can be modeled, a fully implicit algorithm has been implemented to integrate the constitutive equations. Using an implicit integration scheme increases the efficiency of the UMAT over the previously implemented explicit integration method by a factor of more than 100 for single crystal simulations.