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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.
Journal ArticleDOI

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

A comparison of grain imaging and measurement using horizontal orientation and colour orientation contrast imaging, electron backscatter pattern and optical methods

TL;DR: The combination of COCI (for grain location) and EBSP (for orientation measurement) is promising, but requires improvements in either imaging or image analysis to be totally reliable.
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In situ damage assessment in a cast magnesium alloy during very high cycle fatigue

TL;DR: In this paper, damage evolution during very high cycle fatigue (VHCF) in AXJ530 die-cast magnesium alloy was studied in situ using nonlinear ultrasonic measurements via analysis of the feedback signal of a closed-loop ultrasonic fatigue system.
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Ultrasonic attenuation due to grain boundary scattering in copper and copper-aluminum

TL;DR: In this paper, the authors measured attenuation in copper and copper-aluminum samples as a function of frequency and average grain size and found that attenuation scales quadratically with the frequency and linearly with average grain sizes.
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Elastic constants of austenitic stainless steel: Investigation by the first-principles calculations and the artificial neural network approach

TL;DR: In this article, two methods were applied to determine the different elastics constants of the face centered cubic austenitic stainless steel Fe0.62Cr0.185Ni 0.185.
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Physical acoustics and microstructure of iron alloys

TL;DR: A review of present knowledge of the relationship between physical acoustics and iron alloy microstructure is given in this paper, where practical applications using acoustic vibrations and ultrasonic waves to measure microstructural properties non-destructively in steel and cast iron are presented.
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