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Effect of grain size distribution on the acoustic nonlinearity parameter

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TLDR
In this paper, the effect of grain size distribution on the measured acoustic nonlinearity of polycrystalline engineering materials is investigated, and the results predict that the existing models that account for only the mean grain size when characterizing material degradations need to be modified more comprehensively to include the role of grain sizes distribution.
Abstract
The effect of grain size distribution on the measured acoustic nonlinearity of polycrystalline engineering materials is investigated. Results are provided for two austenitic stainless steel materials with comparable mean grain sizes and distinct distribution widths assuming equiaxed grains and random crystallographic orientation. The distribution width is shown to influence the nonlinearity parameter considerably. On the material with a wider distribution, a reduced nonlinearity was noted, and comparable trends were also noted for different frequencies investigated. The results predict that the existing models that account for only the mean grain size when characterizing material degradations need to be modified more comprehensively to include the role of grain size distribution.

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Application of Rayleigh wave-based nonlinearity parameter to estimate the remnant useful life of fatigued thick aluminum plates

TL;DR: In this paper, Rayleigh waves are propagated through a thick aluminum (Al) plate to evaluate its material nonlinearity based on the second harmonic produced in the response, and numerical simulations are carried out on the pristine and fatigued thick Al specimens, and an amplitude-based Rayleigh wave nonlinear parameter is used to characterize the material non-linearity.
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Von Kármán spatial correlation function to describe wave propagation in polycrystalline media

TL;DR: The von Kármán function is shown to be more accurate than the exponential function and more tractable than the sum of exponentials form and the impact of the SCF on wave propagation and scattering is studied.
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Characterization of Grain Size in 316L Stainless Steel Using the Attenuation of Rayleigh Wave Measured by Air-Coupled Transducer

TL;DR: In this paper, the attenuation coefficient of Rayleigh waves is introduced to characterize grain size in heat treated 316L stainless steel, and the measured results are efficient, more stable and less influenced by the surface state when an air-coupled receiver is used.
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Autonomous characterization of grain size distribution using nonlinear Lamb waves based on deep learning.

TL;DR: In this article , an explainable nonlinearity-aware multilevel wavelet decomposition-multichannel one-dimensional convolutional neural network is proposed to hierarchically extract multi-level time-frequency features of the acoustic non-linearity and automatically model latent nonlinear dynamics directly from the nonlinear ultrasonic responses.
References
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Journal ArticleDOI

Grain size distribution effects on the corrosion behaviour of materials

TL;DR: In this paper, the effect of grain size distribution on the corrosion behavior of materials is explored, by utilizing existing correlations between corrosion current and grain size, derive relationships for corrosion current, and use these relationships to predict the corrosion behaviour of bimodal microstructures.
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Impact of the grain size distribution on the yield stress of heterogeneous materials

TL;DR: In this paper, a self-consistent scheme making use of the translated fields technique for elastic-viscoplastic materials is used as micro-macro scale transition, where the representative volume element is composed of grains supposed to be spherical and randomly distributed with a grain size distribution following a log-normal statistical function.
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Ultrasonic Attenuation Caused by Scattering in Polycrystalline Metals

TL;DR: In this paper, the grain size distributions and ultrasonic velocities in fine-grained specimens of several metals were determined and the experimental attenuation was in good quantitative as well as qualitative agreement with current theory.
Journal ArticleDOI

Ultrasonic velocity measurements for estimation of grain size in austenitic stainless steel

TL;DR: In this paper, the authors used ultrasonic velocity measurements to estimate average grain size in an AISI type 316 stainless steel, and the results indicated that grain size can be predicted with good confidence level using ultrasonic velocities.
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