|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Characterization of Minerals, Metals, and Materials
||Automated Optical Characterization of Inconel 100 Using Computational Microstructural Toolsets
||Sundar Veeraraghavan, Satya Ganti, Bryan Turner, Brian Hayes, John Porter, Dennis M Dimiduk, Michael Jackson, Michael Uchic
|On-Site Speaker (Planned)
Emulating microstructure–property relationships requires 3-dimensional (3D) models of microstructure. Automated serial sectioning methods such as Robo-Met.3D make 3D datasets more readily obtainable, but data-to-models workflows for specific characterization needs are still emerging. In this study we use mechanical serial sectioning to examine nickel alloy (IN-100) samples having varying processing history. The DREAM.3D open source tool set, and other state-of-the-art software tools, are used to build a workflow for image quantification. The workflow focuses on grain size and ALA grain features in 3D. The talk emphasizes current capabilities and highlights needed improvements for gray-scale image quantification.
||Planned: Stand-alone book in which only your symposium’s papers would appear (indicate title in comments section below)