Abstract
Using techniques widely available in digital image processing, machine learning and spatial statistics, this paper proposes a novel workflow that generates two dimensional spatial models using objects extracted from digital micro-graphs of material micro-structure that can be used in statistical reconstruction modeling within a numerical procedure, such as finite element analysis. This paper also reviews the relevant image processing techniques, spatial statistical theories and reconstruction (modeling) algorithms with unique contributions. As an end-to-end illustration, the workflow is applied to a two dimensional, digital micro-graph of hydrogen porosity taken of as-fabricated AlSi10Mg manufactured using laser powder bed fusion adopted from the literature.
NSTL
Elsevier