Cargando…

Yield stress fluids and fundamental particle statistics

Yield stress in complex fluids is described by resorting to fundamental statistical mechanics for clusters with different particle occupancy numbers. Probability distribution functions are determined for canonical ensembles of volumes displaced at the incipient motion in three representative states...

Descripción completa

Detalles Bibliográficos
Autor principal: Mezzasalma, Stefano A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064768/
https://www.ncbi.nlm.nih.gov/pubmed/35515264
http://dx.doi.org/10.1039/c9ra02150g
_version_ 1784699455842287616
author Mezzasalma, Stefano A.
author_facet Mezzasalma, Stefano A.
author_sort Mezzasalma, Stefano A.
collection PubMed
description Yield stress in complex fluids is described by resorting to fundamental statistical mechanics for clusters with different particle occupancy numbers. Probability distribution functions are determined for canonical ensembles of volumes displaced at the incipient motion in three representative states (single, double, and multiple occupancies). The statistical average points out an effective solid fraction by which the yield stress behavior is satisfactorily described in a number of aqueous (Si(3)N(4), Ca(3)(PO(4))(2), ZrO(2), and TiO(2)) and non-aqueous (Al(2)O(3)/decalin and MWCNT/PC) disperse systems. Interestingly, the only two model coefficients (maximum packing fraction and stiffness parameter) turn out to be correlated with the relevant suspension quantities. The latter relates linearly with (Young’s and bulk) mechanical moduli, whereas the former, once represented versus the Hamaker constant of two particles in a medium, returns a good linear extrapolation of the packing fraction for the simple cubic cell, here recovered within a relative error ≈ 1.3%.
format Online
Article
Text
id pubmed-9064768
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-90647682022-05-04 Yield stress fluids and fundamental particle statistics Mezzasalma, Stefano A. RSC Adv Chemistry Yield stress in complex fluids is described by resorting to fundamental statistical mechanics for clusters with different particle occupancy numbers. Probability distribution functions are determined for canonical ensembles of volumes displaced at the incipient motion in three representative states (single, double, and multiple occupancies). The statistical average points out an effective solid fraction by which the yield stress behavior is satisfactorily described in a number of aqueous (Si(3)N(4), Ca(3)(PO(4))(2), ZrO(2), and TiO(2)) and non-aqueous (Al(2)O(3)/decalin and MWCNT/PC) disperse systems. Interestingly, the only two model coefficients (maximum packing fraction and stiffness parameter) turn out to be correlated with the relevant suspension quantities. The latter relates linearly with (Young’s and bulk) mechanical moduli, whereas the former, once represented versus the Hamaker constant of two particles in a medium, returns a good linear extrapolation of the packing fraction for the simple cubic cell, here recovered within a relative error ≈ 1.3%. The Royal Society of Chemistry 2019-06-14 /pmc/articles/PMC9064768/ /pubmed/35515264 http://dx.doi.org/10.1039/c9ra02150g Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Mezzasalma, Stefano A.
Yield stress fluids and fundamental particle statistics
title Yield stress fluids and fundamental particle statistics
title_full Yield stress fluids and fundamental particle statistics
title_fullStr Yield stress fluids and fundamental particle statistics
title_full_unstemmed Yield stress fluids and fundamental particle statistics
title_short Yield stress fluids and fundamental particle statistics
title_sort yield stress fluids and fundamental particle statistics
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064768/
https://www.ncbi.nlm.nih.gov/pubmed/35515264
http://dx.doi.org/10.1039/c9ra02150g
work_keys_str_mv AT mezzasalmastefanoa yieldstressfluidsandfundamentalparticlestatistics