Cargando…

Microstructural characterization of random packings of cubic particles

Understanding the properties of random packings of solid objects is of critical importance to a wide variety of fundamental scientific and practical problems. The great majority of the previous works focused, however, on packings of spherical and sphere-like particles. We report the first detailed s...

Descripción completa

Detalles Bibliográficos
Autores principales: Malmir, Hessam, Sahimi, Muhammad, Tabar, M. Reza Rahimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057146/
https://www.ncbi.nlm.nih.gov/pubmed/27725736
http://dx.doi.org/10.1038/srep35024
_version_ 1782459014938886144
author Malmir, Hessam
Sahimi, Muhammad
Tabar, M. Reza Rahimi
author_facet Malmir, Hessam
Sahimi, Muhammad
Tabar, M. Reza Rahimi
author_sort Malmir, Hessam
collection PubMed
description Understanding the properties of random packings of solid objects is of critical importance to a wide variety of fundamental scientific and practical problems. The great majority of the previous works focused, however, on packings of spherical and sphere-like particles. We report the first detailed simulation and characterization of packings of non-overlapping cubic particles. Such packings arise in a variety of problems, ranging from biological materials, to colloids and fabrication of porous scaffolds using salt powders. In addition, packing of cubic salt crystals arise in various problems involving preservation of pavements, paintings, and historical monuments, mineral-fluid interactions, CO2 sequestration in rock, and intrusion of groundwater aquifers by saline water. Not much is known, however, about the structure and statistical descriptors of such packings. We have developed a version of the random sequential addition algorithm to generate such packings, and have computed a variety of microstructural descriptors, including the radial distribution function, two-point probability function, orientational correlation function, specific surface, and mean chord length, and have studied the effect of finite system size and porosity on such characteristics. The results indicate the existence of both spatial and orientational long-range order in the packing, which is more distinctive for higher packing densities. The maximum packing fraction is about 0.57.
format Online
Article
Text
id pubmed-5057146
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-50571462016-10-24 Microstructural characterization of random packings of cubic particles Malmir, Hessam Sahimi, Muhammad Tabar, M. Reza Rahimi Sci Rep Article Understanding the properties of random packings of solid objects is of critical importance to a wide variety of fundamental scientific and practical problems. The great majority of the previous works focused, however, on packings of spherical and sphere-like particles. We report the first detailed simulation and characterization of packings of non-overlapping cubic particles. Such packings arise in a variety of problems, ranging from biological materials, to colloids and fabrication of porous scaffolds using salt powders. In addition, packing of cubic salt crystals arise in various problems involving preservation of pavements, paintings, and historical monuments, mineral-fluid interactions, CO2 sequestration in rock, and intrusion of groundwater aquifers by saline water. Not much is known, however, about the structure and statistical descriptors of such packings. We have developed a version of the random sequential addition algorithm to generate such packings, and have computed a variety of microstructural descriptors, including the radial distribution function, two-point probability function, orientational correlation function, specific surface, and mean chord length, and have studied the effect of finite system size and porosity on such characteristics. The results indicate the existence of both spatial and orientational long-range order in the packing, which is more distinctive for higher packing densities. The maximum packing fraction is about 0.57. Nature Publishing Group 2016-10-11 /pmc/articles/PMC5057146/ /pubmed/27725736 http://dx.doi.org/10.1038/srep35024 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Malmir, Hessam
Sahimi, Muhammad
Tabar, M. Reza Rahimi
Microstructural characterization of random packings of cubic particles
title Microstructural characterization of random packings of cubic particles
title_full Microstructural characterization of random packings of cubic particles
title_fullStr Microstructural characterization of random packings of cubic particles
title_full_unstemmed Microstructural characterization of random packings of cubic particles
title_short Microstructural characterization of random packings of cubic particles
title_sort microstructural characterization of random packings of cubic particles
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5057146/
https://www.ncbi.nlm.nih.gov/pubmed/27725736
http://dx.doi.org/10.1038/srep35024
work_keys_str_mv AT malmirhessam microstructuralcharacterizationofrandompackingsofcubicparticles
AT sahimimuhammad microstructuralcharacterizationofrandompackingsofcubicparticles
AT tabarmrezarahimi microstructuralcharacterizationofrandompackingsofcubicparticles