X-ray computed tomography (XCT) for characterization of particulate materials heterogeneity: embrace heterogeneity — create value with separation
Author(s) -
C. Robben,
A. Moslemiyekan,
Kim H. Esbensen
Publication year - 2022
Publication title -
tos forum
Language(s) - English
Resource type - Journals
eISSN - 2053-969X
pISSN - 2053-9681
DOI - 10.1255/tosf.173
Subject(s) - beneficiation , characterization (materials science) , sorting , economies of agglomeration , process engineering , spatial heterogeneity , sampling (signal processing) , computer science , grinding , separation (statistics) , sample (material) , environmental science , materials science , nanotechnology , engineering , machine learning , algorithm , metallurgy , chemistry , computer vision , ecology , biology , filter (signal processing) , chromatography , chemical engineering
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