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Modeling and simulation of ultrasonic beam skewing in polycrystalline materials

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TLDR
In this paper, a Voronoi tessellation algorithm is used to represent an equiaxed polycrystalline morphology and numerical simulations are performed on beam skewing in both weak (Aluminum) and strong (Copper) anisotropic media as a function of beam launch angles.
Abstract
Ultrasonic wave propagation through polycrystalline media results in scattering caused by the anisotropy of single grains and randomness in the orientation of the individual grains making up the polycrystal. Scattering leads to variation in phase velocity and beam skewing of elastic waves leading to a loss in energy of the forward propagating wave, significantly affecting the ability to perform material characterization, defect detection and sizing in structural components. The present work addresses the problem of beam skewing of ultrasonic longitudinal waves using FEM-based wave propagation studies in a simulated polycrystal. A well-established Voronoi tessellation algorithm is used to represent an equiaxed polycrystalline morphology. Numerical simulations are performed on beam skewing in both weak (Aluminum) and strong (Copper) anisotropic media as a function of beam launch angles. The effect of a small number of large grains and a large number of small grains on the beam quality is described. The effective refraction in polycrystals is quantified with respect to the corresponding reference isotropic media and the implications for various applications are discussed.

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Citations
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Journal ArticleDOI

An inverse problem for Voronoi diagrams: A simplified model of non‐destructive testing with ultrasonic arrays

TL;DR: In this paper, the Voronoi geometry of a polycrystalline object is modeled using tessellations and the orientation of the material's lattice structure is reconstructed using a non-linear least square method.
Journal ArticleDOI

Simulation of Ultrasonic Backscattering in Polycrystalline Microstructures

Dascha Dobrovolskij, +1 more
- 18 Feb 2022 - 
TL;DR: In this paper , the authors used Laguerre tessellations generated by random sphere packings dividing space into convex polytopes, where cells represent grains in a real polycrystal and act as single scatterers.
References
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Journal ArticleDOI

Power‐law relationships between the dependence of ultrasonic attenuation on wavelength and the grain size distribution

TL;DR: In this paper, a simple relationship between the power law that describes the grain size distribution and the power-law dependence of attenuation on wavelength was established, and two types of measurements were presented to verify the theoretical development.
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Predicting ultrasonic grain noise in polycrystals: A Monte Carlo model

TL;DR: In this article, a Monte Carlo technique is described for predicting the ultrasonic noise backscattered from the microstructure of polycrystalline materials in a pulse/echo immersion inspection.
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Far-field scattering model for wave propagation in random media

TL;DR: The perturbed wave number in the developed model does not depend explicitly on the crystallite elastic properties even for arbitrary crystallographic symmetry; it depends on two nondimensional scattering elastic parameters and the macroscopic ultrasonic velocity which provides an advantage for potential schemes for inversion from attenuation to material microstructure.
Journal ArticleDOI

Ultrasonic attenuation in polycrystals using a self-consistent approach

TL;DR: In this paper, a self-consistent method of averaging elastic moduli to define the effective medium of a polycrystal is used to investigate the dynamic problem of wave propagation.
Journal ArticleDOI

Thermal Conductivity of Polycrystalline Materials

TL;DR: In this article, a three-dimensional Poisson-Voronoi tessellation model is used to simulate the microstructure of polycrystalline materials consisting of random shape and size grains.
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