Standard

Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model. / Nurkanov, E. Yu.; Kadushnikov, R. M.; Kamenin, I. G. et al.
In: Poroshkovaya Metallurgiya, No. 34-42, 2001, p. 34-42.

Research output: Contribution to journal › Article › peer-review

Harvard

Nurkanov, EY, Kadushnikov, RM, Kamenin, IG, Alievskij, DM & Kartashov, VV 2001, 'Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model', Poroshkovaya Metallurgiya, no. 34-42, pp. 34-42.

APA

Nurkanov, E. Y., Kadushnikov, R. M., Kamenin, I. G., Alievskij, D. M., & Kartashov, V. V. (2001). Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model. Poroshkovaya Metallurgiya, (34-42), 34-42.

Vancouver

Nurkanov EY, Kadushnikov RM, Kamenin IG, Alievskij DM, Kartashov VV. Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model. Poroshkovaya Metallurgiya. 2001;(34-42):34-42.

Author

Nurkanov, E. Yu. ; Kadushnikov, R. M. ; Kamenin, I. G. et al. / Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model. In: Poroshkovaya Metallurgiya. 2001 ; No. 34-42. pp. 34-42.

BibTeX

@article{de59588ce56747909e0c1350723b5358,
title = "Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model",
abstract = "Series of computing experiments were performed to model random packing of spherical particles. Known algorithms of dense packing were modified to optimize density characteristics. Local density distribution in random packing of spherical particles was studied. The effect of boundary condition for density characteristics was determined, and the boundary distortion zone size was assessed. The means of control for integral density of spherical particles packing, and distribution of local density within it, were developed. These means were based upon the concept of density characteristics as of the correlation functions of sizes and number of particles in a fraction and in a mixture.",
author = "Nurkanov, {E. Yu.} and Kadushnikov, {R. M.} and Kamenin, {I. G.} and Alievskij, {D. M.} and Kartashov, {V. V.}",
year = "2001",
language = "Русский",
pages = "34--42",
journal = "Poroshkovaya Metallurgiya",
issn = "0032-4795",
publisher = "Natsional'na Akademiya Nauk Ukrainy",
number = "34-42",

}

RIS

TY - JOUR

T1 - Investigation of density of three-dimensional spherical particles stochastic packing by means of computational model

AU - Nurkanov, E. Yu.

AU - Kadushnikov, R. M.

AU - Kamenin, I. G.

AU - Alievskij, D. M.

AU - Kartashov, V. V.

PY - 2001

Y1 - 2001

N2 - Series of computing experiments were performed to model random packing of spherical particles. Known algorithms of dense packing were modified to optimize density characteristics. Local density distribution in random packing of spherical particles was studied. The effect of boundary condition for density characteristics was determined, and the boundary distortion zone size was assessed. The means of control for integral density of spherical particles packing, and distribution of local density within it, were developed. These means were based upon the concept of density characteristics as of the correlation functions of sizes and number of particles in a fraction and in a mixture.

AB - Series of computing experiments were performed to model random packing of spherical particles. Known algorithms of dense packing were modified to optimize density characteristics. Local density distribution in random packing of spherical particles was studied. The effect of boundary condition for density characteristics was determined, and the boundary distortion zone size was assessed. The means of control for integral density of spherical particles packing, and distribution of local density within it, were developed. These means were based upon the concept of density characteristics as of the correlation functions of sizes and number of particles in a fraction and in a mixture.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=0035549874

M3 - Статья

SP - 34

EP - 42

JO - Poroshkovaya Metallurgiya

JF - Poroshkovaya Metallurgiya

SN - 0032-4795

IS - 34-42

ER -

ID: 45010378