Abstract Scope |
It has become increasingly common to collect 3D data volumes using different modalities and techniques, which can elucidate unique microstructural features and behaviors, but it also requires the fusing the separate datasets into a single combined reference frame. In this presentation, we will use a set of serial sections from additively manufactured 316L stainless steel and show how serial-sections collected with EBSD, which clearly differentiates the grain structure, are combined with serial sections of backscattered electron images which clearly differentiate the pores within the structure. This is done by using a highly parallel computational method that filters out long-range drift in the serial section alignment parameters and then is adapted to align the two data-stacks while removing high frequency jitter. Only through this aligned dataset are we able to reveal the unique grain structures found near the lack-of-fusion pores within the additively manufactured structure. |