| タイトル | Computational Modeling and Experimental Characterization of Martensitic Transformations in Nicoal for Self-Sensing Materials |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160005973 |
| 著者（英） | Newman, J. A.; Warner, J. E.; Hochhalter, J. D.; Purja Pun, G. P.; Mishin, Y.; Leser, W. P.; Yamakov, V. I.; Wallace, T. A. |
| 発行日 | 2015-05-31 |
| 言語 | eng |
| 内容記述 | Fundamental changes to aero-vehicle management require the utilization of automated health monitoring of vehicle structural components. A novel method is the use of self-sensing materials, which contain embedded sensory particles (SP). SPs are micron-sized pieces of shape-memory alloy that undergo transformation when the local strain reaches a prescribed threshold. The transformation is a result of a spontaneous rearrangement of the atoms in the crystal lattice under intensified stress near damaged locations, generating acoustic waves of a specific spectrum that can be detected by a suitably placed sensor. The sensitivity of the method depends on the strength of the emitted signal and its propagation through the material. 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 and suggest possible ways of optimizing particle sensitivity. The technology of embedded sensory particles will serve as the key element in an autonomous structural health monitoring system that will constantly monitor for damage initiation in service, which will enable quick detection of unforeseen damage initiation in real-time and during onground inspections. |
| NASA分類 | Spacecraft Design, Testing and Performance; Metals and Metallic Materials |
| レポートNO | NF1676L-19812 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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