Dissipative particle dynamics with predetermined input parameters for particulate suspensions

PhD Thesis


Nguyen, Thi Yen Ngoc. 2021. Dissipative particle dynamics with predetermined input parameters for particulate suspensions. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/gf8k-zf77
Title

Dissipative particle dynamics with predetermined input parameters for particulate suspensions

TypePhD Thesis
Authors
AuthorNguyen, Thi Yen Ngoc
SupervisorTran­-Cong, Thanh
Mai­-Duy, Nam
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages143
Year2021
Digital Object Identifier (DOI)https://doi.org/10.26192/gf8k-zf77
Abstract

This PhD project reports a new Dissipative Particle Dynamics (DPD) scheme for numerically investigating the behaviour of complex fluids at the mesoscale. Its attractive features include (i) the input parameters are directly determined from the physical fluid properties: the mass density, water compressibility, time-scale ratio, viscosity and dynamic response; and (ii) the transport coefficients are also considered as functions of the wavelengths and frequencies of thermal fluctuations (i.e. generalised hydrodynamics). With its pre-determined input parameters, the proposed DPD is shown to possess a consistent scaling of thermal fluctuations and produce similar behaviours of the flow at different levels of coarse-graining. With its generalised hydrodynamic regime employed, the proposed DPD method is shown to have the ability to model a viscoelastic fluid using a single set of particles, and the ability to take into account size effects caused by suspended objects. Compressibility is also studied, and a simple approach based on the time-scale ratio is proposed and shown to be effective. Improved results have been achieved in the simulation of viscometric and non-viscometric flows of simple (single phase) and complex (multiphase) fluids.

KeywordsDPD method, particulate suspensions, generalised hydrodynamics
ANZSRC Field of Research 2020490399. Numerical and computational mathematics not elsewhere classified
Byline AffiliationsFaculty of Health, Engineering and Sciences
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https://research.usq.edu.au/item/q67z6/dissipative-particle-dynamics-with-predetermined-input-parameters-for-particulate-suspensions

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