2019
DOI: 10.1007/s10999-019-09457-x
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Modeling of superelastic behavior of porous shape memory alloys

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Cited by 8 publications
(2 citation statements)
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“…In order to simplify the structure and reduce the computational cost of analysis of such a non-homogenous structure, it is usual to consider a representative volume element (RVE) (Abdollahzadeh et al, 2020; Gilabert et al, 2017a; Guven and Cinar, 2019). The model is a cubic matrix with dimensions of 10 mm × 10 mm × 10 mm.…”
Section: Simulation Methodologymentioning
confidence: 99%
“…In order to simplify the structure and reduce the computational cost of analysis of such a non-homogenous structure, it is usual to consider a representative volume element (RVE) (Abdollahzadeh et al, 2020; Gilabert et al, 2017a; Guven and Cinar, 2019). The model is a cubic matrix with dimensions of 10 mm × 10 mm × 10 mm.…”
Section: Simulation Methodologymentioning
confidence: 99%
“…Porous shape memory alloys combine the advantages of shape memory alloys such as super elasticity and shape memory effect. The computational micromechanical analysis of porous SMAs using finite element methods has become one of the most common methods [74,75]. Currently, fewer studies have been conducted on the functional fatigue simulation of Ni-Ti porosity, and most of them have evaluated the shape memory properties in a single pass [16,76,77], with less research on the super-elasticity under cyclic loading and the shape memory effect [18,78].…”
Section: Modeling For the Functional Fatigue Simulationmentioning
confidence: 99%