A new approach predicting the evolution of laminated nanostructures - Martensite in NiTi as an example
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In: Modelling and simulation in materials science and engineering, Vol. 25.2017, No. February, 035004, 14.02.2017.
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T1 - A new approach predicting the evolution of laminated nanostructures - Martensite in NiTi as an example
AU - Petersmann, Manuel
AU - Antretter, Thomas
AU - Waitz, Thomas
AU - Fischer, Franz Dieter
PY - 2017/2/14
Y1 - 2017/2/14
N2 - A model for laminated nanostructures, combining classical energy minimization with full-field finite element (FE) calculations in a computationally fullyautomated manner, is set up and used to quantitatively analyse the interaction of grains via self-accommodation of their transformation strains. The well established B2 to B19' martensitic phase transformation in nanocrystalline NiTi is treated as an exemplary case to demonstrate our new framework. A systematic search for an optimal energy minimizing transformation path is employed within a full-field model, including crystallographic transformation strains and fully anisotropic elastic constants, by using the Python scripting language. The microstructure is updated based on previous calculation results. The underlying incremental free energy minimization criterion naturally reproduces the transformation kinetics. The sequence of grains subjected to transformation as well as the selection of martensitic variants within the grains are obtained yielding the evolution of the total interface energy as well as the strain energy, dominating our approach.
AB - A model for laminated nanostructures, combining classical energy minimization with full-field finite element (FE) calculations in a computationally fullyautomated manner, is set up and used to quantitatively analyse the interaction of grains via self-accommodation of their transformation strains. The well established B2 to B19' martensitic phase transformation in nanocrystalline NiTi is treated as an exemplary case to demonstrate our new framework. A systematic search for an optimal energy minimizing transformation path is employed within a full-field model, including crystallographic transformation strains and fully anisotropic elastic constants, by using the Python scripting language. The microstructure is updated based on previous calculation results. The underlying incremental free energy minimization criterion naturally reproduces the transformation kinetics. The sequence of grains subjected to transformation as well as the selection of martensitic variants within the grains are obtained yielding the evolution of the total interface energy as well as the strain energy, dominating our approach.
UR - http://iopscience.iop.org/article/10.1088/1361-651X/aa5ab4
U2 - 10.1088/1361-651X/aa5ab4
DO - 10.1088/1361-651X/aa5ab4
M3 - Article
VL - 25.2017
JO - Modelling and simulation in materials science and engineering
JF - Modelling and simulation in materials science and engineering
SN - 0965-0393
IS - February
M1 - 035004
ER -