Model-assisted nondestructive evaluation for microstructure quantification
Date of Award
2015
Degree Name
M.S. in Materials Engineering
Department
Department of Chemical and Materials Engineering
Advisor/Chair
Advisor: Charles Edward Browning
Abstract
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.
Keywords
Nondestructive testing, Nanostructured materials Evaluation, Materials Science, Nondestructive Evaluation, Computational NDE, Integrated Computational Materials Engineering, DREAM3D, Polycrystalline, FEM
Rights Statement
Copyright © 2015, author
Recommended Citation
Johnson, Darius Rayshawn, "Model-assisted nondestructive evaluation for microstructure quantification" (2015). Graduate Theses and Dissertations. 1043.
https://ecommons.udayton.edu/graduate_theses/1043
