Multiscale Mixed Modality Microstructure Assessment for Titanium (M4AT) Data Set

Abstract

The capability of a material depends on multiscale physical properties. In many cases, state-of-the-art material characterization methods for micro-to-mesoscale features require extensive preparation or destructive analysis. These shortcomings limit their use for quality control of component-scale parts, as extensive preparation or destructive analysis are prohibitively expensive or impossible for real-time assessment. One example is the detection and characterization of critical microtexture regions in titanium, where the state-of-the-art sensing method is both damaging and constrained to a laboratory environment. New sensing approaches that achieve the capability of laboratory-based characterization methods without destructive assessment offer promise for manufacturing, inspection, and assembly. A potential solution is to develop novel data fusion algorithms to complement existing nondestructive evaluation (NDE) techniques.