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Model-assisted Nondestructive Evaluation for Microstructure Quantification

Johnson, Darius R.
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1430394815

Abstract Details

2015, Master of Science (M.S.), University of Dayton, Materials Engineering.
Modern computational tools are permitting realistic complex 2-dimensional(2D) and 3-dimensional(3D) geometry structures, material state properties, and multi-physics realism to be included into Computational Nondestructive Evaluation Models (CNDE), which allows a direct comparison of local material property statistics with sensing model results. The goal of this research was to develop and demonstrate ultrasound model-assisted nondestructive evaluation (NDE) methods for characterizing and mapping 2D/3D microstructures. A framework was created using the concept of Integrated Computational Materials Engineering (ICME) that allows for the incorporation of real material data sets to be described explicitly within computational NDE models. The Framework was tested using real and synthetically generated 2D/3D material data sets, where material state properties were characterized and correlated with NDE model sensing results. The implications of research are that the development of the framework is now allowing for studies to observe and understand complex elastic wave scattering due to polycrystalline microstructures.
Charles Browning, Ph.D (Advisor)
James Blackshire, Ph.D (Committee Member)
P.Terrence Murray, Ph.D (Committee Member)
214 p.
Materials Science
Nondestructive Evaluation; Computational NDE; Integrated Computational Materials Engineering; DREAM3D; Polycrystalline; FEM;

Recommended Citations

Citations

  • Johnson, D. R. (2015). Model-assisted Nondestructive Evaluation for Microstructure Quantification [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1430394815

    APA Style (7th edition)

  • Johnson, Darius. Model-assisted Nondestructive Evaluation for Microstructure Quantification. 2015. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1430394815.

    MLA Style (8th edition)

  • Johnson, Darius. "Model-assisted Nondestructive Evaluation for Microstructure Quantification." Master's thesis, University of Dayton, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1430394815

    Chicago Manual of Style (17th edition)

dayton1430394815
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This open access ETD is published by University of Dayton and OhioLINK.