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Determining particle‐size distributions from chord length measurements for different particle morphologies
Author(s) -
Schoell Jochen,
Irizarry Roberto,
Sirota Eric,
Mengel Cameron,
Codan Lorenzo,
Cote Aaron
Publication year - 2019
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.16560
Subject(s) - particle size , chord (peer to peer) , biological system , materials science , particle size distribution , particle (ecology) , principal component analysis , statistical physics , mathematics , chemistry , physics , statistics , computer science , distributed computing , oceanography , biology , geology
A recently proposed model to determine particle‐size distributions (PSDs) from chord length measurements has been applied to different particle morphologies, namely compact, platelet‐ and rod‐shaped particles. To study these systems, chord length distributions (CLDs) were measured at varying particle size and solids concentration for each compound and were subsequently utilized to determine the system‐specific parameters. Each model was successfully applied to its respective compound such that the experimental PSDs and model predictions were in good agreement. Moreover, the effect of other variables such as agitation rate and solvent composition was investigated and found to be negligible for the specific systems tested. Finally, potential model optimizations of the general model construct have been studied. Two variants of the CLD compression step, namely principal component analysis and a geometric model have been considered as surrogate models. However, neither of these approaches yielded superior results than the previously proposed approach.