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Statistical Analysis of Pellet Size Variation in Commercial Catalysts
Author(s) -
Wu Dongfang,
Zhou Jiancheng,
Li Yongdan
Publication year - 2005
Publication title -
particle and particle systems characterization
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 56
eISSN - 1521-4117
pISSN - 0934-0866
DOI - 10.1002/ppsc.200400907
Subject(s) - pellets , weibull distribution , log normal distribution , akaike information criterion , pellet , statistics , kolmogorov–smirnov test , range (aeronautics) , distribution (mathematics) , mathematics , materials science , environmental science , biological system , statistical hypothesis testing , composite material , biology , mathematical analysis
The size of commercial catalyst pellets is distributed over a range of values. The suitability of the normal, lognormal and Weibull distributions to model pellet size variation was judged by three quality‐of‐fit criteria: the coefficient of determination, Akaike information criterion and Kolmogorov‐Smirnov test, respectively. It is concluded that the normal distribution is most appropriate to represent the diameter distribution of the spherical pellets, though the lognormal distribution also gives a satisfactory fit. The Weibull distribution is the best one to represent the length distribution of the catalyst tablets. It is elucidated that a downward tail of the tablet length distribution results from the fluctuating characteristics of feeding for the individual tablets. It is also pointed out that pellet size distributed in a narrow window is beneficial to the industrial application of solid catalysts.