2019 Pittsburgh AISTech

Deciphering Coke Blends by Log-probability (Rosin-Rammler) Analyses of Coke Microtextures and Modeling Anisotropy-Quotients (AQ’s) (Room 403)

06 May 19
4:00 PM - 4:30 PM

Tracks: Cokemaking

Speaker(s): Dave Pearson, Pearson Coal Petrography Inc.; Richard Pearson, President, Pearson Coal; HeeKyoung (Jackie) Park, Pearson Coal Petrography Inc.; Yuekan Jiao, Pearson Coal Petrography; Drazen Gajic, Head of Cokemaking Services, DMT GmbH & Co. KG

This study concerns deciphering microscopically the ranks, proportions and numbers of component coals in metallurgical cokes by statistical analysis of coke microtextures; by coke reflectance measurements; and by coke microtextures and coke reflectance polar diagrams. Rosin-Rammler probability plots, with ASTM coke mosaic size as abscissa (or 8-bit AQ), reveal single-source cokes have assemblages of two to four microtextures, the straight line distributions of which permit proportions of each texture to be inferred from the log-log probability scale, including from blended cokes. Anisotropy Quotient reflectance profiles of single-source cokes are used as component models in non-linear least-squares regression analyses of blend proportions.