A reference signal was required for the measurement and was evaluated from a sample with known grain size and morphology. In a recent study by Keyvani et al., 10 the in situ measurement of grain size evolution using laser ultrasound was investigated in cobalt L605 alloys. They are also flexible in terms of the information that can be ascertained at a certain depth within the sample. However, nondestructive techniques are not limited by the size of the sample and preserve the integrity of the part. Although these techniques provide a vast amount of microstructural details, they are destructive, limited to surface information from small specimens, and, in general, expensive and time consuming. The most common methods of microstructural characterization are the use of linear intercept measurements from optical or scanning electron microscopy (SEM) images 9 or analysis of electron backscattering diffraction (EBSD) images. The results show that the differences in the two-point statistics and ultrasonic attenuation for different morphologies become more significant at wider size distributions and higher frequencies. The ultrasonic properties are calculated for the Voronoi, Laguerre tessellations, and voxel-based synthetic microstructures created by DREAM.3D. In this study, the variation of ultrasonic scattering is calculated for microstructures of different morphologies for a nickel polycrystal. These synthetic microstructures can be generated using different tessellation algorithms that result in different grain shapes. Three-dimensional digital microstructures have been increasingly used to investigate the scattering of mechanical waves within a numerical framework. If the microstructural organization can be quantified nondestructively, for example, with ultrasonic scattering techniques, then it may be possible to predict the mechanical performance of a component. Material properties, such as hardness, yield strength, and ductility, depend on the microstructure of the material.
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