On bed porosity of multisized spheroidal particles / Da porosidade de partículas esferoidais polidispersas

Authors

  • Diogo Rodrigues Prado
  • José Aurélio Medeiros da Luz
  • Felipe de Orquiza Milhomem
  • Marcos Paulo Salomão Paracampos

DOI:

https://doi.org/10.34117/bjdv8n2-378

Keywords:

porosity, granular media, rosin–rammler, random packing.

Abstract

In numerous instances of engineering the problem to quantify the porosity of polydisperse systems arises. Despite its great importance, the theoretical predictability of the bed porosity is still problematic. In the field of ceramics, classically, Furnas' studies on porosity are quoted, where he has studied void fraction resulting from blending two distinct particle sizes in various proportions. Less often, ternary diagrams plotting porosity isovalues for spherical particles beds are used to characterize ternary mixtures of distinct monosized particulate systems (usually in ceramics industry). Although similar studies using polydisperse systems have been conducted, a lot of improvement is yet to be achieved. This article falls in this context and aims at contributing to this field of technical and economic impact. Synthetic samples with controlled particle size distribution were used. The resulting porosity of those glass beads random packs (mimicking several size distributions described by Rosin–Rammler equation) has been experimentally determined under a standardized compaction level. The main result was to obtain an equation for the porosity forecast for bead beds inside spheroidal containers, as a function of the sharpness parameter, n, from Rosin–Rammler distribution. An accurate extrapolation to systems well described by the Whiten sigmoidal distribution was achieved as well. A generalization of the Ergun equation is presented at the end of the article, as an application example.

References

ANDEREGG, F. O. Grading Aggregates II — The application of mathematical formulas to mortars. Industrial & Engineering Chemistry, v. 23, n. 9, p. 1058–1064, 1931.

AUGIER, F.; IDOUX, F.; DELENNE, J. Y. Numerical simulations of transfer and transport properties inside packed beds of spherical particles. Chemical Engineering Science, v. 65, p. 1055–1064, 2010.

BUCKMAN, J. et al. Quantifying porosity through automated image collection and batch image processing: case study of three carbonates and an aragonite cemented sandstone. Geosciences, v. 7, n. 70, 2017.

BURMINSTER, D. M. The grading-density relations of granular materials. Proc. Am. Soc. Test. Mater., v. 38, p. 587– 596, 1938.

BURTSEVA, L. et al. Multi-sized sphere packings: models and recent approachesFaculty of Mathematics. Faculty of Mathematics, 21p., 2015.

CAMPELLO, E. M. B.; CASSARES, K. R. Rapid generation of particle packs at high packing rations for DEM simulations of granular compacts. Latin American Journal of Solids and Structures, v. 13, p. 23–50, 2016.

CHEN, M.-L. et al. Physical and compaction properties of granular materials with artificial grading behind the particle size distributions. Advances in Materials Science and Engineering, 2018.

DAS, S.; DEEN, N. G.; KUIPERS, J. A. M. A DNS study of flow and heat transfer through slender fixed-bed reactors randomly packed with spherical particles. Chemical Engineering, v. 160, p. 1–19, 2017.

DAS, S.; RAMARAO, B. V. Inversion of lime mud and papermaking pulp filtration data to determine compressibility and permeability relationships. Separation and Purification Technology, v. 28, p. 149–160, 2002.

DIAS, R. et al. Tortuosity variation in a low density binary particulate bed. Separation and Purification Technology, v. 51, p. 180–184, 2006.

DORNELAS, V. F. et al. BaSO4 Precipitation impact on the permeability of a pressure porous medium. Brazilian Journal of Development, v. 7, n. 5, p. 48877–48893, 2021.

FRERY, A. C. et al. Stochastic particle packing with specified granulometry and porosity. Granular Matter, v. 14, n. 1, p. 27–36, 2012.

FURNAS, C. C. The relations between specific volume, voids, and size composition in systems of broken solids of mixed sizes. Washington, 1928.

KING, R. P.; SCHNEIDER, C. L.; KING, E. A. Modeling and Simulation of Mineral Processing Systems, 2nd edition. SME, 2012.

LANFREY, P.-Y.; KUZELJEVIC, Z. V; DUDUKOVIC, M. P. Tortuosity model for fixed beds randomly packed with identical particles. Chemical Engineering Science, v. 65, p. 1891–1896, 2010.

LATHAM, J.-P.; MUNJINZA, A.; LU, Y. On the prediction of void porosity and packing of rock particulates. Powder Technology, v. 125, p. 10–27, 2002.

LOPES, P. F. T.; LUZ, J. A. M. Avaliação estereotômica de teores via método de Monte Carlo. Holos, v. 30, n. 3, p. 78–87, 2014.

LOPES, P. F. T.; LUZ, J. A. M.; MILHOMEM, F. O. Specific surface area of polydispersions as a function of size distribution sharpness. Anais da Academia Brasileira de Ciências, v. 92, n. 3, 2020.

LUZ, J. A. M. Conversibilidade entre distribuições probabilísticas usadas em modelos de hidrociclones. Rem: Revista Escola de Minas, v. 58, n. 1, p. 89–93, 2005.

LUZ, J. A. M. Fracionamento granulométrico de Sistemas Particulados (notas de aula). Ouro PretoUFOP, 2017.

MACDONALD, I. F. et al. Flow through porous media – the Ergun equation revisited. Ind. Eng. Chem. Fundam., v. 18, p. 199–208, 1979.

MÉDICI, E. F.; ALLEN, J. S. A quantitative technique to compare experimental observations and numerical simulations of percolation in thin porous materials. Transp. Porous Med., v. 115, p. 435–447, 2016.

MONTENEGRO-BALAREZO, F. J.; LUZ, J. A. M.; PEREIRA, C. A. Emprego de argamassa expansiva e termoconsolidação de peças em cantaria. REM: R. Esc. Minas, v. 56, n. 3, p. 161–167, 2003.

MOTA, M.; TEIXEIRA, J. A.; YELSHIN, A. Image analysis of packed beds of spherical particles of different sizes. Separation and Purification Technology, v. 15, p. 59–68, 1999.

MUELLER, G. E. A simple method for determining sphere packed bed radial porosity. Powder Technology, v. 229, p. 90–96, 2012.

NABAWY, B. S. Estimating porosity and permeability using digital image analysis (DIA) technique for highly porous sandstones. Arabian Journal of Geosciences, v. 7, p. 889–898, 2014.

OUCHLYAMA, N.; TANAKA, T. Porosity estimation from particle size distribution. Industrial and Engineering Chemistry Fundamentals, v. 25, n. 1, p. 125–129, 1986.

PERONIUS, N.; SWEETING, T. J. On the correlation of minimum porosity with particle size distribution. Powder Technology1, v. 42, p. 113–121, 1985.

PÖTTKER, W. E.; APPOLONI, C. R. Medida da porosidade de materiais amorfos por transmissão de raios gama. INAC 2000 — V ENAN. Anais.

POZZOBON, V.; COLIN, J.; PERRÉ, P. Hydrodynamics of a packed bed of non-spherical polydisperse particles: A fully virtual approach validated by experiments. Chemical Engineering Journal, v. 354, p. 126–136, 2018.

PRIOR, J. M. V; ALMEIDA, I.; LOUREIRO, J. M. Prediction of the packing porosity of mixtures of spherical and non-spherical particles with a geometric model. Powder Technology2, v. 249, p. 482–496, 2013.

RODRÍGUEZ, J.; ALLIBERT, C. H.; CHAIX, J. M. A computer method for random packing of spheres of unequal size. Powder Technology, v. 47, p. 25–83, 1986.

SCHMIDT, E.; LÖFFLER, F. Preparation of dust cakes for microscopic examination. Powder Technology, v. 60, n. 2, p. 173–177, 1990.

SCOTT, G. D. Packing of spheres: packing of equal spheres. Nature, v. 188, n. 4754, p. 908–909, 1960.

SHARIF, S. et al. A simplified approach to determine effective surface area and porosity of low bulk density active pharmaceutical ingredients in early development. Advanced Powder Technology, v. 26, p. 337–348, 2015.

SILVA, D. A. E; GEYER, A. B.; PANTOJA, J. C. Porosidade do concreto versus forma do agregado graúdo. Brazilian Journal of Development, v. 6, n. 8, p. 60359–60376, 2020.

TRASK, P. D.; HAMMAR, H. E.; WU, C. C. Origin and Environment of source sediments of petroleum. Houston: Gulf Publishing Co., 1932.

WANG, Y.; HERDEGEN, V.; REPKE, J.-U. Numerical study of different particle size distribution for modelling of solid-liquid extraction in randomly packed beds. Separation and Purification Technology, v. 171, p. 131–143, 2016.

ZOU, R. P.; GAN, M. L.; YU, A. B. Prediction of the porosity of multi-component mixtures of cohesive and non-cohesive particles. Chemical Engineering Science, v. 66, n. 20, p. 4711–4721, 2011.

Published

2022-02-23

How to Cite

Prado, D. R., da Luz, J. A. M., Milhomem, F. de O., & Paracampos, M. P. S. (2022). On bed porosity of multisized spheroidal particles / Da porosidade de partículas esferoidais polidispersas. Brazilian Journal of Development, 8(2), 14217–14237. https://doi.org/10.34117/bjdv8n2-378

Issue

Section

Original Papers