PROJECT DESCRIPTION

X-ray computed tomography (CT) can enable non-destructive characterization of multiphase flows (from mixing, boiling and cavitation flows, to flow of agricultural products and processed foods).

With energy resolved measurements and knowledge of various materials energy dependent attenuation properties it is feasible to characterize the material composition beyond density distribution. With redundant data from multispectral CT we aim to reduce uncertainty in phase fraction distribution measurements (and along the way tackle CT artifacts such as those due to beam hardening).

RESEARCHERS

PI: Simo Makiharju, GSR: Andy Rodriguez

This work is supported by the USDA/NSF AI Institute for Next Generation Food Systems (AIFS) through the AFRI Competitive Grant no. 2020-67021-32855/project accession no. 1024262 from the USDA National Institute of Food and Agriculture.