Predicting the constitutive response of smas on the basis of composition and heat treatment

Abstract eng:
A predictive microscale-informed model that takes into account the precipitate-shape memory performance relations and allows for the evaluation of the effective thermomechanical response of precipitated Ni-rich NiTi shape memory alloys on the basis of composition and heat treatment is presented. The model considers the structural effect of the precipitates (coherency stresses due to the lattice mismatch between the precipitates and the matrix material and precipitate volume fraction), as well as the effect of the Ni-concentration gradient in the matrix, resulting from Ni-depletion during precipitate growth. The predictive capability of the model is tested against experimental data obtained from Ni50_7Ti (at. %) that has been heat treated under different conditions and good agreement is shown.

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