March 30 @ 11 am – noon
Refreshments will begin at 10:30 a.m. in ETRL 119
A Data-Driven Approach for Characterizing Ternary Al(fcc)-Al2Cu-Ag2Al Eutectic Alloys
The School of Mechanical and Materials Engineering is hosting a seminar presented by Dr. Irmak Sargin, Postdoc in the School of Mechanical & Materials Engineering, WSU.
Biography:
Dr. Irmak Sargin received both her Bachelor of Science and Master of Science degrees in Metallurgical and Materials Engineering from Middle East Technical University, in Turkey, where she focused on martensitic phase transitions and shape memory alloys. She received her PhD degree in Materials Science and Engineering from Iowa State University in 2015. During her PhD, she focused on invariant and univariant ternary eutectic solidification. As a post-doctoral scholar, she has redirected her interests from experimental processing and characterization to materials informatics. Currently, she is has a half-time post-doctoral appointment at Washington State University and a half-time appointment at the Massachusetts Institute of Technology. In addition to the work presented here, she is working on developing machine learning methods to solve complex problems in to materials science.
Abstract:
Our understanding of ternary eutectic solidification has advanced greatly in recent years. We have come to a point where further advances can only occur if a meaningful and quantitative language is developed to describe the solidified microstructures. In this study, Al-Cu-Ag ternary eutectic alloys are directionally solidified at a velocity range of 0.0002 mm/s-0.018 mm/s. A new data-driven approach is developed here that allows the microstructures to be quantitatively expressed in terms of the three general morphologies associated with this eutectic system. A set of real-space and Fourier-space microstructural descriptors are developed and applied to each microstructure. In addition, three “ideal” microstructures are analyzed. By PCA and PLSR analysis methods, it is determined that the
experimentally obtained microstructures can be quantitatively described in terms of their similarity to the ideal structures. This quantified comparison of the idealized structures to the experimental ones provides insight about the microstructural evolution. The approach developed here can be generalized and applied to many different areas of materials science, allowing the important relationships between microstructure and physical properties to be identified. This method also allows direct determination of which deviations from the ideal attributes result in variation from the ideal physical properties.
