MSE Seminar: John Sosa, Development Of Tools for 2D and 3D Microstructural Characterization and Their Application to Titanium Alloy Microstructures

Ph.D. Candidate advised by Dr. Hamish Fraser

All dates for this event occur in the past.

264 MacQuigg Labs
105 W. Woodruff Ave
Columbus, OH 43210
United States

Abstract

Three-dimensional materials characterization has undoubtedly advanced the understanding of numerous materials science phenomena and revealed the complexity of various microstructural features. The increasing number of applications of 3D characterization has established a series of processing procedures, the majority of which involve post-acquisition processing and analysis. As data acquisition techniques continue to advance and emerge, the need for more robust, materials science focused, analytical 3D software has become evident.

This has led to the development of an all-inclusive, user-friendly software package known as MIPAR™ (Materials Image Processing and Automated Reconstruction). MIPAR was written and developed within the MATLAB environment, but is deployable as a standalone cross-platform application. MATLAB’s powerful 2D and 3D processing libraries have greatly contributed to and accelerated MIPAR’s development. With a total of five modules, MIPAR was designed to handle all post-acquisition stages of 3D characterization: alignment, pre-processing, segmentation, visualization, and quantification. Its development has both driven the implementation of several 2D/3D filtering, segmentation, and quantification tools, and yielded a framework which can easily absorb additional processing techniques and serve as a launching platform for efficient algorithm development, implementation, and deployment. Given the importance of segmentation to nearly all 3D characterization, a strong focus has been placed on developing a method of objectively quantifying segmentation quality. This method, reliant on the similarity metric of mutual information, has been integrated into MIPAR’s Image Processor module and examples of its application will be presented.

The tools included in the software have permitted the reconstruction and analysis of 3D datasets across numerous materials systems. This talk will demonstrate the broad utility of these tools in applications such as automated 3D particle identification and separation in Ti-64, reconstruction of complex α-laths in Ti-62222, automated α-colony segmentation in multiple Ti alloys, dendrite segmentation in bulk metallic glasses, grain boundary morphology analysis and γ’ reconstruction in Ni-base superalloys, and analysis of several 3D EBSD datasets.

Bio

John Sosa received his B.S. in MSE from The Ohio State University in 2010. Having been enrolled in the combined degree program, he was able to start his graduate studies in 2008 in the field of image analysis for the stereological quantification of titanium microstructures. After graduating with a B.S., he continued in the field of microstructural quantification at The Ohio State University before obtaining an M.S. via the candidacy examination. He has continued to work in the area of 2D and 3D microstructural analysis towards my Ph.D. He recently became a father to two wonderful twin boys, enjoys home improvement work, and kicking back on Saturday and Sunday for some football.