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Johnson's S B distribution function as applied in the mathematical representation of particle size distributions. Part 1: Theoretical background and numerical simulation
Author(s) -
Yu AiBing
Publication year - 1994
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.19940110404
Subject(s) - transformation (genetics) , bounded function , distribution (mathematics) , distribution function , function (biology) , mathematics , volume (thermodynamics) , surface (topology) , representation (politics) , mathematical analysis , statistical physics , combinatorics , physics , geometry , thermodynamics , chemistry , biochemistry , evolutionary biology , biology , gene , politics , political science , law
An investigation was carried out of the transformation between the number, length, surface and volume size distributions expressed by Johnson's S B distribution function – the bounded log‐normal distribution function. As is well known, if any of the number, length, surface and volume distributions is log‐normal, all the others will also be log‐normal. Theoretical analysis suggests that the S B function may have a similar property. This was confirmed by a computer‐aided numerical simulation, in which emphasis was given to the transformation between successive order size distributions, i.e. ƒ i ( x ) → ƒ i + 1 ( x ) or ƒ i ( x ) → ƒ i − 1 ( x ). The numerical results can be applied to the particle size distribution transformation because this transformation can generally be made step by step, for example, ƒ i → ƒ i−1 ( x ) → ƒ i − 2 ( x ) → … → ƒ j ( x ) for ƒ i ( x ) → ƒ j ( x ) ( i > j).