Evidence map›Paper›PMID 30687804›Full record

ArticlePhysical review. E2018

Rheology of colloidal suspensions in confined flow: Treatment of hydrodynamic interactions in particle-based simulations inspired by dynamical density functional theory.

Zahera Jabeen, Hsiu-Yu Yu, David M Eckmann, Portonovo S Ayyaswamy, Ravi Radhakrishnan

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Article in Physical review. E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zahera JabeenDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Hsiu-Yu YuDepartment of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan.
David M EckmannDepartment of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Portonovo S AyyaswamyDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.
Ravi RadhakrishnanDepartment of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA.

Funding

Targeted Microcarrier Design and OptimizationR01EB006818 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M · 2008 to 2016
$3.3M
Bridging multiple scales in modeling targeted drug nanocarrier deliveryU01EB016027 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M, RADHAKRISHNAN, RAVI · 2013 to 2017
$2.7M
NIBIB NIH HHS R01 EB006818NIBIB NIH HHS U01 EB016027
6 · The paper itself

Abstract

We investigate the microstructure and rheology of a hard-sphere suspension in a Newtonian fluid confined in a cylindrical channel and undergoing pressure-driven flow using Monte Carlo simulations. We develop a hydrodynamic framework inspired by dynamical density functional theory approaches in which the contributions due to various flow-induced hydrodynamic interactions (HI) are included in the form of thermodynamic work done by these HI-derived forces in displacing the hard spheres. Using this framework, we can self-consistently determine the effect of the local microstructure on the average flow field, and vice versa, and coevolve the inhomogeneous density distribution and the flattening velocity profile with increase in the density of suspended particles. Specifically, we explore the effect on the local microstructure due to the inclusion of forces arising from confinement-induced inertial effects, forces due to solvent-mediated interparticle interactions, and the dependence of the diffusivity on the local density. We examine the dependence of the apparent viscosity of the suspension on the volume fraction of hard spheres in the cylinder, the flow rate, and the diameter of the cylinder and investigate their effects on the local microstructure.

Identifiers

PMID30687804
PMCPMC6345264

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.