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Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification

Phillips, Peter Louis
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273

Abstract Details

2009, Master of Science (M.S.), University of Dayton, Mechanical Engineering.
Advances in digital image correlation (DIC) techniques allow for the study of full-field surface deformations on a microscopic scale in metal alloys. Finite element-based microstructural models can be used for property identification using numerical optimization techniques. However, the exact microstructure in the interior of the specimen is not known without destroying the material, and DIC data is available only from the visible surface for comparison. An analytical methodology has been investigated that allows for the in-situ identification of orthotropic materials properties on a microstructural level in metallic materials using finite element analysis. A study has been conducted to determine the effects that various subsurface microstructural finite element (FE) modeling techniques have on the reduction of displacement errors on the surface of microstructural models. Multiple FE models with varying geometries and properties through the thickness (2.5D Models) are developed using surface geometry from a FE model created using known three-dimensional geometry through the thickness. Displacement errors are compared and an optimization procedure has been utilized to identify the linear elastic orthotropic material properties for various 2.5D models to determine which techniques are best suited for accurate material property identification. Using the recommended modeling techniques, relative errors in the surface displacements are on the order of three to six percent, and typical errors in the estimated material properties for a linear elastic orthotropic material are approximately one to five percent.
Robert A. Brockman, PhD (Advisor)
Steven L. Donaldson, PhD (Committee Member)
James M. Whitney, PhD (Committee Member)
74 p.
Mechanical Engineering
microstructure; finite element; property identification; 2.5D modeling; optimization; digitial image correlation

Recommended Citations

Citations

  • Phillips, P. L. (2009). Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273

    APA Style (7th edition)

  • Phillips, Peter. Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification. 2009. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273.

    MLA Style (8th edition)

  • Phillips, Peter. "Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification." Master's thesis, University of Dayton, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273

    Chicago Manual of Style (17th edition)

dayton1259944273
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© 2009, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.