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Microscale investigation of phase transformation and plasticity in multi-crystalline shape memory alloy using discrete dislocation–transformation method

Sakhaei, Amir Hosein, Shafiee, Mahmood (2023) Microscale investigation of phase transformation and plasticity in multi-crystalline shape memory alloy using discrete dislocation–transformation method. Continuum Mechanics and Thermodynamics, 35 (1). pp. 279-297. ISSN 0935-1175. E-ISSN 1432-0959. (doi:10.1007/s00161-023-01183-2) (KAR id:99449)

Abstract

Martensitic phase transformation and plasticity are two primary mechanisms of deformation in shape memory alloys (SMAs) and the interaction between them influences the behaviour of SMA during cyclic loading, specifically the pseudoelasticity behaviour and the shape memory effect. This interaction, which occurs in microscale, affects the reversibility and eventually the actuation capacity of SMAs. In order to capture this interaction in microscale, a discrete dislocation–transformation model was developed in Sakhaei et al. (Mech Mater 97:1–18, 2016) and was applied to simulate the single-crystalline NiTi samples under thermo-mechanical loads. In this study, the microscale coupling between phase transformation and plasticity as well as grain size and orientation effects is investigated in multi-crystalline shape memory alloys under thermal and mechanical loading by using the discrete dislocation–transformation framework through the representative numerical simulations. The results illustrated the dependency of dislocation slip and martensitic transformation to crystalline orientations as well as grain size and grain boundary densities in the multi-crystalline SMAs.

Item Type: Article
DOI/Identification number: 10.1007/s00161-023-01183-2
Uncontrolled keywords: Multi-crystalline alloy, Shape memory alloy, Discrete dislocation, Discrete transformation, Shape memory effect, Pseudoelasticity
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Amirhosein Sakhaei
Date Deposited: 09 Jan 2023 09:48 UTC
Last Modified: 20 Jan 2023 16:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/99449 (The current URI for this page, for reference purposes)

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