Multiscale modeling of sensory properties of Co-Ni-Al shape memory particles embedded in an Al metal matrix

作者：Yamakov V^*; Hochhalter J D; Leser W P; Warner J E; Newman J A; Pun G P Purja; Mishin Y

来源：Journal of Materials Science, 2016, 51(3): 1204-1216.

DOI：10.1007/s10853-015-9153-3

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.

• 出版日期2016-2