• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Numerical analysis of intragrain precipitate influence on the linear scattering behavior

    Thumbnail
    View/Open
    GRUEN-THESIS-2016.pdf (1.464Mb)
    Date
    2016-08-31
    Author
    Gruen, Daniel Nicholas
    Metadata
    Show full item record
    Abstract
    Nondestructive evaluation using ultrasonic waves is commonly used to experimentally probe for the presence of defects (i.e. dislocations, precipitates, cracks) in complex metallic microstructures. Such defects and abnormalities are evidenced by monitoring the acoustic attenuation coefficient alpha. However, from a mathematical standpoint, the correlation between the microstructural behavior and the measured acoustic attenuation behavior is not yet explicit. The present work aims to assess the existence of statistical correlations between microstructural defects and acoustic attenuation. The effects of defect geometry, density, and geometrical arrangements (i.e. relative position) on acoustic attenuation are studied. To do so, the acoustic response of Fe-Cu single crystals containing 1% Cu precipitates with radii on the order of 2 nm is simulated by means of finite element analysis. Several thousand initial microstructures with random arrangement of precipitates are virtually tested using statistical methods, such as principal component analysis. Therefore, it is expected that a causal link can be made between the acoustic attenuation coefficient and the precipitates-induced microstructural behavior via the proposed numerical analysis.
    URI
    http://hdl.handle.net/1853/56255
    Collections
    • Georgia Tech Theses and Dissertations [23877]
    • School of Civil and Environmental Engineering Theses and Dissertations [1755]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology