1990
DOI: 10.1111/j.1151-2916.1990.tb05210.x
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Improved Equation of the Continuous Particle Size Distribution for Dense Packing

Abstract: The Furnas model describes the discrete particle size distribution for densest packing. Using a model that considers a continuous particle size distribution for the densest packing to be a mixture of infinite Furnas discrete particle size groups, an equation for the cumulative particle size distribution providing the densest packing was derived. Monosize particles with different shapes have a different packing pore fraction. One parameter in the equation is the pore fraction of packed monosize particles; the p… Show more

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Cited by 48 publications
(18 citation statements)
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“…Models of ternary random packings were reported in [1][2][3][4][5][6], and experiments in [7,8]. In the present paper ternary sphere packings with small size ratio are studied, based on the approach as used for bimodal spheres [9].…”
Section: Introductionmentioning
confidence: 99%
“…Models of ternary random packings were reported in [1][2][3][4][5][6], and experiments in [7,8]. In the present paper ternary sphere packings with small size ratio are studied, based on the approach as used for bimodal spheres [9].…”
Section: Introductionmentioning
confidence: 99%
“…The presence of agglomerates in the compacts of real powders reduces particle packing efficiency and suppresses sintering activity. A fully dense sintered compact could not be achieved due to agglomeration of basic particles [23].…”
Section: (4a)mentioning
confidence: 99%
“…3 Andreasen based his model on a continuous distribution and that infinitely small particles are required to achieve the theoretically densest packing. 7 The limit of the Andreasen's model is that, in real size distribution, a minimum particle size is always present, so Funk and Dinger modified Andreasen's model introducing this information in the Funk-Dinger equation. In spite of the work that a lot of researchers have done on the argument, conflicting results from many laboratories and manufacturing experiences have led to some scepticisms about the efficiency of such methods.…”
Section: Introductionmentioning
confidence: 98%