Ultrasonic wave propagation predictions for polycrystalline materials using three-dimensional synthetic microstructures: Attenuation.
Ultrasonic wave propagation predictions for polycrystalline materials using three-dimensional synthetic microstructures: Attenuation.
复制标题
使用三维合成微结构预测多晶材料的超声波传播：衰减。
DOI：
--
复制
发表时间：
2019
影响因子：
2.4
通讯作者：
J. Turner
中科院分区：
文献类型：
--
作者：
Musa Norouzian;J. Turner
超声衰减在非均质材料的检测中起着至关重要的作用，因此理论模型对于改进测量至关重要。在这篇文章中，在这些模型中经常使用的几个假设检查相对于它们对衰减的影响。在这里，dream.3d软件被用来生成10个不同体积的集合，每个集合包含50个具有立方单晶对称性的等轴晶粒的实现，从中计算衰减。然后与来自经典理论的衰减值进行比较。这些理论往往解耦的空间和张量的微观结构的组成部分，假设统计各向同性，并使用一个空间相关函数，具有特定的指数形式。这些假设的有效性进行检查的空间统计的计算，以获得在其最一般的形式衰减。在15 MHz时镍的Voigt平均结果表明，纵向和横向衰减分别约为理论值的1/3和1/4。这种差异归因于相关的空间相关函数。结果还显示出衰减的轻微各向异性。最后，对于具有窄晶粒尺寸分布和弱织构的微结构，解耦假设是有效的。
Ultrasonic attenuation plays a crucial role in inspection for heterogeneous materials such that theoretical models are critical for improved measurements. In this article, several assumptions often used in these models are examined with respect to their influence on attenuation. Here, dream.3d software is used to generate 10 ensembles with different volumes, each containing 50 realizations of equiaxed grains with cubic single-crystal symmetry, from which attenuations are calculated. Comparisons are then made with attenuation values derived from classical theories. These theories often decouple the spatial and tensorial components of the microstructure, assume statistical isotropy, and use a spatial correlation function that has a specific exponential form. The validity of these assumptions is examined by calculation of the spatial statistics to obtain the attenuations in their most general form. The results of Voigt-averaged results for nickel at 15 MHz show that the longitudinal and transverse attenuations are about one-third and one-fourth of those obtained from the theory, respectively. Such a difference is attributed to the relevant spatial correlation functions. The results also show a slight anisotropy in the attenuation. Finally, for microstructures with narrow grain size distributions and weak texture, the decoupling assumption is shown to be valid.