Percolation segregation model for similar and differing constituents

P. Tang, V. M. Puri

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Segregation is a ubiquitous and undesirable phenomenon that occurs nearly anywhere and anytime as particulate materials are stored, handled, processed, or conveyed. New percolation segregation mechanistic hypotheses were formulated to interpret the percolation and sieving mechanisms. The theoretical hypotheses consist of two attributes: hypothesis I, larger particle sizes have higher potential of segregation rate; hypothesis II, falling path become less tortuous with larger size ratio. A mechanistic theory-based segregation model (denoted MTB model) for binary G-g (coarse material glass beads, G, and fine material glass beads, g) and F-g (coarse material poultry feed, F, and fine material glass beads, g) combinations was developed using the principles of mechanics, dimensional analysis, and linear regression methods. The MTB model successfully correlated explicitly the effect of particle size and shape with the particle density effect implicit in segregation potential of binary mixtures in one quantitative equation. The verification results showed that the MTB model accurately (root mean square error, RMSE=1.22) predicted the segregation potential for G-g and F-g combinations with size ratios of 4:1, 6:1, and 8:1 and absolute sizes of 710, 1,000, and 1,400m. The validation results showed that the MTB model produced RMSE=1.69 for smaller size ratios such as 3:1 and 2:1.

Original languageEnglish (US)
Pages (from-to)287-297
Number of pages11
JournalParticulate Science and Technology
Volume28
Issue number4
DOIs
StatePublished - Jul 1 2010

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Glass
Particle size
Poultry
Binary mixtures
Linear regression
Mean square error
Mechanics

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)

Cite this

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title = "Percolation segregation model for similar and differing constituents",
abstract = "Segregation is a ubiquitous and undesirable phenomenon that occurs nearly anywhere and anytime as particulate materials are stored, handled, processed, or conveyed. New percolation segregation mechanistic hypotheses were formulated to interpret the percolation and sieving mechanisms. The theoretical hypotheses consist of two attributes: hypothesis I, larger particle sizes have higher potential of segregation rate; hypothesis II, falling path become less tortuous with larger size ratio. A mechanistic theory-based segregation model (denoted MTB model) for binary G-g (coarse material glass beads, G, and fine material glass beads, g) and F-g (coarse material poultry feed, F, and fine material glass beads, g) combinations was developed using the principles of mechanics, dimensional analysis, and linear regression methods. The MTB model successfully correlated explicitly the effect of particle size and shape with the particle density effect implicit in segregation potential of binary mixtures in one quantitative equation. The verification results showed that the MTB model accurately (root mean square error, RMSE=1.22) predicted the segregation potential for G-g and F-g combinations with size ratios of 4:1, 6:1, and 8:1 and absolute sizes of 710, 1,000, and 1,400m. The validation results showed that the MTB model produced RMSE=1.69 for smaller size ratios such as 3:1 and 2:1.",
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Percolation segregation model for similar and differing constituents. / Tang, P.; Puri, V. M.

In: Particulate Science and Technology, Vol. 28, No. 4, 01.07.2010, p. 287-297.

Research output: Contribution to journalArticle

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