Log-normal model linearization for particle size distribution

Authors

  • Laércio Montovani Frare UEM
  • Marcelino Luiz Gimenes UEM
  • Nehemias Curvelo Pereira UEM
  • Elisabete Scolin Mendes UEM

DOI:

https://doi.org/10.4025/actascitechnol.v22i0.3128

Keywords:

tamanho de partí­culas, modelos de distribuição, análise granulométrica

Abstract

Granulometric analyses of solids are satisfactorily represented by the following two parameters models: Gates-Gaudin-Schumann (GGS), Rosin-Rammler-Bennet (RRB) and Log-Normal (LN). GGS and RRB models may be linearized to get a correlation coefficient to qualify them. Nevertheless, for LN model the linear fit is done by a particle diameter graph in logarithm scale versus the cumulative mass fraction in a probability scale. It´s not possible to compare the three models on the same basis. Equations developed by Lawless (1978) were developed to obtain a linear correlation coefficient for LN model. Thus, GGS, RRB and LN models may be available by simple comparison of the linear regression coefficients. Adjustment turns up to the faster and more precise.

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Author Biography

Marcelino Luiz Gimenes, UEM

Atualmente é professor associado c da Universidade Estadual de Maringá, Revisor de perí­odico: Canadian Journal of Chemical Engineering , - Brazilian Journal of Chemical Engineering, Applied Biochemistry and Biotechnology,- Drying Technology (0737-3937), - Información Tecnológica e Acta Scientiarum (UEM). Tem experiência na área de Engenharia Quí­mica, com ênfase em Operações de Separação e Mistura, atuando principalmente nos seguintes temas: trialometanos, amostragem de partí­culas, tratamento de efluentes, engenharia quí­mica e membranas. Currí­culo Lattes

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Published

2008-05-13

How to Cite

Frare, L. M., Gimenes, M. L., Pereira, N. C., & Mendes, E. S. (2008). Log-normal model linearization for particle size distribution. Acta Scientiarum. Technology, 22, 1235–1239. https://doi.org/10.4025/actascitechnol.v22i0.3128

Issue

Vol. 22 (2000)

Section

Chemical Engineering

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