TY - JOUR
T1 - Effect of machined feature size relative to the microstructural size on the superelastic performance in polycrystalline NiTi shape memory alloys
AU - Paul, Partha P.
AU - Paranjape, Harshad M.
AU - Amin-Ahmadi, Behnam
AU - Stebner, Aaron P.
AU - Dunand, David C.
AU - Brinson, L. Catherine
N1 - Funding Information:
The authors would like to acknowledge the use of NUANCE (NSF ECCS-1542205 ) and MatCI (NSF DMR-1121262 ) facilities at Northwestern University and financial support from Department of Energy, Office of Basic Energy Science (Grant no. DE-SC0010594 ).
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017/10/26
Y1 - 2017/10/26
N2 - This study demonstrates a transition from a structure-dominated response to a microstructure-dominated response around machined features in a polycrystalline NiTi shape memory alloy (SMA), as the size of the features relative to the mean grain size is varied. The specific structural features considered are a pair of holes of varying separation and size in the 100–500 micrometer range. The local deformation around the holes is experimentally characterized during superelastic loading and compared with the predictions of a macro-scale phenomenological model for phase transformation. This comparison, coupled with a microstructural analysis reveals two key results. In the case when the holes are much larger than the grains, the local strain fields are predominantly determined by the stress concentrations around the structural features, and they are adequately predicted by the phenomenological model. However, when the holes and the grains are of comparable size, microstructural heterogeneity and fine-scale microstructural features such as precipitates determine the local superelastic response. The prediction of the macro-scale model in this case significantly deviates from the experimental observation. A key outcome of this work is a criterion in terms of the microstructure and the relative structural feature size in SMAs for determining the applicability of macro-scale models vs. micromechanical models of phase transformation for predicting the local deformation response.
AB - This study demonstrates a transition from a structure-dominated response to a microstructure-dominated response around machined features in a polycrystalline NiTi shape memory alloy (SMA), as the size of the features relative to the mean grain size is varied. The specific structural features considered are a pair of holes of varying separation and size in the 100–500 micrometer range. The local deformation around the holes is experimentally characterized during superelastic loading and compared with the predictions of a macro-scale phenomenological model for phase transformation. This comparison, coupled with a microstructural analysis reveals two key results. In the case when the holes are much larger than the grains, the local strain fields are predominantly determined by the stress concentrations around the structural features, and they are adequately predicted by the phenomenological model. However, when the holes and the grains are of comparable size, microstructural heterogeneity and fine-scale microstructural features such as precipitates determine the local superelastic response. The prediction of the macro-scale model in this case significantly deviates from the experimental observation. A key outcome of this work is a criterion in terms of the microstructure and the relative structural feature size in SMAs for determining the applicability of macro-scale models vs. micromechanical models of phase transformation for predicting the local deformation response.
KW - Digital image correlation
KW - Electron back scattering diffraction
KW - Nickel titanium
KW - Shape Memory Alloys
KW - Size effects
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U2 - 10.1016/j.msea.2017.09.016
DO - 10.1016/j.msea.2017.09.016
M3 - Article
AN - SCOPUS:85028987017
VL - 706
SP - 227
EP - 235
JO - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
JF - Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
SN - 0921-5093
ER -