|About this Abstract
||Materials Science & Technology 2017
||Fifty Years of Metallography and Materials Characterization
||K-4: Advances in Automated Optical 3D Materials
||Veeraraghavan Sundar, Satya Ganti, Bryan Turner
|On-Site Speaker (Planned)
Advances in automation have made possible the cost-effective collection of 3D microstructural information. When optical microscopy is used as a data collection method, the scale of sample analyzed is correspondingly large, as is the variety of materials that can be analyzed using such techniques. 3D materials characterization circumvents the weaknesses inherent statistical extrapolations. In this study, Robo-Met.3D, an automated system for 3D materials characterization, is extended to characterize materials properties including porosity in an additively manufactured Titanium alloy, white etching regions in bearing steels, open and closed porosity in ceramic matrix composite preforms, and phase distribution in medium carbon steels. The resulting visualization provide insights into materials properties and processes unavailable in conventional methods.
||Planned: Publication outside of MS&T