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contributor authorLiu, Yuhang
contributor authorWu, Jianguo
contributor authorZhou, Shiyu
contributor authorLi, Xiaochun
date accessioned2017-11-25T07:17:18Z
date available2017-11-25T07:17:18Z
date copyright2015/1/10
date issued2016
identifier issn1087-1357
identifier othermanu_138_03_031008.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234495
description abstractUltrasonic testing is a promising alternative quality inspection technique to the expensive microscopic imaging to characterize metal matrix nanocomposites. However, due to the complexity of the wave–microstructure interaction, and the difficulty in fabricating nanocomposites of different microstructural features, it is very challenging to build reliable relationships between ultrasonic testing results and nanocomposites quality. In this research, we propose a microstructure modeling and wave propagation simulation method to simulate ultrasonic attenuation characteristic for A206–Al2O3 metal matrix nanocomposites (MMNCs). In particular, a modified Voronoi diagram is used to reproduce the microstructures and the numeric method elastodynamic finite integration technique (EFIT) is used to simulate the wave propagation through the generated microstructures. Linear mixed effects model (LME) is used to quantify the between-curve variation of ultrasonic attenuation from both experiment and simulation. Permutation test is employed to quantify the similarity of the quantified variation between experiment and simulation. This research supports the experimental results through the simulation approach and provides a better understanding of the relationship between attenuation curves and the microstructures.
publisherThe American Society of Mechanical Engineers (ASME)
titleMicrostructure Modeling and Ultrasonic Wave Propagation Simulation of A206–Al2O3 Metal Matrix Nanocomposites for Quality Inspection
typeJournal Paper
journal volume138
journal issue3
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4030981
journal fristpage31008
journal lastpage031008-11
treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 003
contenttypeFulltext


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