Vinogradov A, Agletdinov E, Merson D
Department of Mechanical and Industrial Engineering, Norwegian University of Technology - NTNU, Trondheim, 7491, Norway.
Institute of Advanced Technologies, Togliatti State University, Togliatti, 445020, Russia.
Sci Rep. 2019 Apr 8;9(1):5748. doi: 10.1038/s41598-019-42317-4.
Plastic deformation and fracture of materials is accompanied by generation of elastic wave transients known as acoustic emissions (AE). A novel complex methodology combining the statistical analysis of distributions of time intervals between the successive AE events, and the unsupervised cluster analysis of the time series is proposed to test for possible correlations between emitting sources and to highlight their intrinsic dynamics. Aiming at revealing the essential temporal features of the twinning and dislocation dynamics, the proposed methodology was applied to the AE signals produced during plastic deformation in a magnesium alloy where both primary deformation modes - dislocation slip and twinning - operate concurrently. It has been undoubtedly demonstrated that the mechanical twinning belongs to a class of non-Poisson processes having a memory of the past in the millisecond range. As opposes to the correlated behaviour of twins, it was shown that the dislocation slip falls into the category of Poisson processes caused by independent sources.
材料的塑性变形和断裂伴随着被称为声发射(AE)的弹性波瞬态的产生。提出了一种新颖的复杂方法,该方法结合了对连续AE事件之间时间间隔分布的统计分析以及时间序列的无监督聚类分析,以测试发射源之间可能的相关性并突出其内在动力学。为了揭示孪生和位错动力学的基本时间特征,将所提出的方法应用于镁合金塑性变形过程中产生的AE信号,在该镁合金中,两种主要变形模式——位错滑移和孪生——同时发生。毫无疑问地证明了机械孪生属于一类非泊松过程,在毫秒范围内具有对过去的记忆。与孪生的相关行为相反,结果表明位错滑移属于由独立源引起的泊松过程类别。