Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Harshad M. Paranjape"'
Autor:
Harshad M. Paranjape
Publikováno v:
Shape Memory and Superelasticity. 9:127-143
Recent advances in the Data Science methods for acquiring and analyzing large amounts of materials deformation data have the potential to tremendously benefit Nitinol (Nickel–Titanium shape memory alloy) implant design and simulation. We review som
Publikováno v:
Shape Memory and Superelasticity. 8:40-44
Autor:
L. Catherine Brinson, Harshad M. Paranjape, Partha P. Paul, Yuriy Chumlyakov, Behnam Amin-Ahmadi, Darren C. Pagan
Publikováno v:
Acta Materialia. 194:49-59
The low symmetry martensite phase in Nickel-Titanium (NiTi) shape memory alloy (SMA) has a hierarchical microstructure with micro-scale crystallites, which themselves consist of nano-laminates with an internal twin structure. The martensite phase def
Publikováno v:
Scripta Materialia. 178:442-446
Transformation-induced plasticity due to the motion of martensite fronts is a key mechanism for damage accumulation during cyclic loading of NiTi shape memory alloys (SMAs). Intuitively, a larger motion of martensite fronts should result in a larger
Publikováno v:
International Journal of Mechanical Sciences. 149:365-372
We present a strain-based formulation of macroscopic plastic deformation that accounts for anisotropy in both the initial yielding and subsequent hardening. Both isotropic and kinematic hardening are considered. Thus the model captures the evolution
Autor:
Harshad M. Paranjape, Craig Bonsignore, Karthikeyan Senthilnathan, Brent A. Craven, Jason D. Weaver, Kenneth I. Aycock
Computational modeling and simulation are commonly used during the development of cardiovascular implants to predict peak strains and strain amplitudes and to estimate the associated durability and fatigue life of these devices. However, simulation v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00447495bc632514b24b63976b1c1cb2
https://doi.org/10.31224/osf.io/a3twm
https://doi.org/10.31224/osf.io/a3twm
Autor:
Harshad M. Paranjape, Craig Bonsignore, Kenneth I. Aycock, Jason D. Weaver, Brent A. Craven, Thomas W. Duerig
We implement an approach using Bayesian inference and machine learning to calibrate the material parameters of a constitutive model for the superelastic deformation of NiTi shape memory alloy. We use a diamond-shaped specimen geometry that is suited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b226e384b8e3f4fec388232e39c60c2
https://doi.org/10.31224/osf.io/k2dt5
https://doi.org/10.31224/osf.io/k2dt5
Autor:
L. Catherine Brinson, Margaret Fortman, Peter M. Anderson, Aaron P. Stebner, Harshad M. Paranjape, Partha P. Paul
Publikováno v:
Shape Memory and Superelasticity. 4:285-293
Porous NiTi shape memory alloys have applications in the biomedical and aerospace fields. Recent developments in metal additive manufacturing have made fabrication of near-net-shape porous products with complicated geometries feasible. There have als
Autor:
Partha P. Paul, Aaron P. Stebner, L. Catherine Brinson, David C. Dunand, Behnam Amin-Ahmadi, Harshad M. Paranjape
Publikováno v:
Materials Science and Engineering: A. 706:227-235
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 i