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    Microstructure Modeling and Ultrasonic Wave Propagation Simulation of A206–Al2O3 Metal Matrix Nanocomposites for Quality Inspection

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 003::page 31008
    Author:
    Liu, Yuhang
    ,
    Wu, Jianguo
    ,
    Zhou, Shiyu
    ,
    Li, Xiaochun
    DOI: 10.1115/1.4030981
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Ultrasonic 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.
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      Microstructure Modeling and Ultrasonic Wave Propagation Simulation of A206–Al2O3 Metal Matrix Nanocomposites for Quality Inspection

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4234495
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian