Multiscale modeling of sensory properties of Co–Ni–Al shape memory particles embedded in an Al metal matrix
2016
Yamakov, V. | Hochhalter, J. D. | Leser, W. P. | Warner, J. E. | Newman, J. A. | Purja Pun, G. P. | Mishin, Y.
The concept of utilizing ferromagnetic shape memory alloys as embedded sensory particles in aluminum alloys for damage detection is discussed. When embedded in a material, a shape memory particle can undergo an acoustically detectable solid-state phase transformation when the local strain reaches a critical value. The emitted acoustic signal can be used for real-time damage detection. To study the transition behavior of the sensory particle inside a metal matrix under load, a simulation approach based on a coupled atomistic-continuum model is used. The simulation results indicate a strong dependence of the particle’s pseudoelastic response on its crystallographic orientation with respect to the loading direction. These results serve as a basis for understanding the efficacy and variability in the sensory particle transformation to detect damage processes.
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