Bronstein Emil, Faran Eilon, Talmon Ronen, Shilo Doron
Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel.
Viterbi Faculty of Electrical and Computer Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel.
Nat Commun. 2024 Aug 29;15(1):7474. doi: 10.1038/s41467-024-51622-0.
Avalanche sources describe rapid and local events that govern deformation processes in various materials. The fundamental differences between an avalanche source and its associated measured acoustic emission (AE) signal are encoded in the acoustic transfer function, which undesirably modifies the properties of the source. Consequently, information about the physical characteristics of avalanche sources is scarce and its exposure poses a great challenge. We introduce a novel experimental method based on acceleration measurements, which eliminates the effect of the transfer function and distills the avalanche source. Applying this method to deformation twinning in magnesium shows that the amplitudes and characteristic times of avalanche sources are unrelated by a clear physical law. Conversely, the amplitudes and durations of AE signals are related by a power law, which is attributed to the transfer function. Using our method, we identify and compute a new feature of avalanche sources, which is directly linked to the growth rate of the twinned volume. This feature displays a power-law distribution, implying an unpredicted behavior at dynamic criticality. Simultaneously, the characteristic times of avalanche sources possess an intrinsic upper bound, indicating a predicted limit that relates to the underlying physical process of twinning.
雪崩源描述了控制各种材料变形过程的快速且局部的事件。雪崩源与其相关的测量声发射(AE)信号之间的根本差异被编码在声传递函数中,而声传递函数会不理想地改变源的特性。因此,关于雪崩源物理特性的信息稀缺,揭示这些特性面临巨大挑战。我们引入了一种基于加速度测量的新实验方法,该方法消除了传递函数的影响并提取出了雪崩源。将此方法应用于镁中的变形孪晶表明,雪崩源的幅度和特征时间并无明确的物理规律关联。相反,AE信号的幅度和持续时间由幂律相关联,这归因于传递函数。使用我们的方法,我们识别并计算出了雪崩源的一个新特征,该特征与孪晶体积的生长速率直接相关。此特征呈现出幂律分布,这意味着在动态临界状态下存在不可预测的行为。同时,雪崩源的特征时间具有一个内在的上限,这表明存在一个与孪晶潜在物理过程相关的预测极限。