Modelling and simulation of flow and agglomeration in deep veins valves using discrete multi physics

Ariane, Mostapha; Wang, Wen; Vigolo, Daniele; Brill, Alexander; Nash, F. G. B.; Barigou, Mostafa; Alexiadis, Alessio

doi:10.1016/j.compbiomed.2017.07.020

Cited by 35 publications

(49 citation statements)

References 38 publications

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“…It combines different particle-based modelling techniques such as smooth particle hydrodynamics, discrete element method and the lattice spring model, and it has been effectively used for fluid-structure interaction problems (e.g., [29][30][31]). DMP, in particular, is superior to traditional multiphysics in the case of phase-transition [32], agglomeration [33] and break-up of solid structures [34]. Specifically, the SPH model presented in this study, in particular, could be coupled with the break-up module in DMP to model cavitation generated shock waves and their effects, including erosion, on nearby solid surfaces.…”

Section: Discussionmentioning

confidence: 99%

Interaction of Shock Waves with Discrete Gas Inhomogeneities: A Smoothed Particle Hydrodynamics Approach

Albano¹,

Alexiadis²

2019

Applied Sciences

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In this study, we propose a smoothed particle hydrodynamics model for simulating a shock wave interacting with cylindrical gas inhomogeneities inside a shock tube. When the gas inhomogeneity interacts with the shock wave, it assumes different shapes depending on the difference in densities between the gas inhomogeneity and the external gas. The model uses a piecewise smoothing length approach and is validated by comparing the results obtained with experimental and CFD data available in the literature. In all the cases considered, the evolution of the inhomogeneity is similar to the experimental shadowgraphs and is at least as accurate as the CFD results in terms of timescale and shape of the gas inhomogeneity.

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Section: Discussionmentioning

confidence: 99%

Interaction of Shock Waves with Discrete Gas Inhomogeneities: A Smoothed Particle Hydrodynamics Approach

Albano¹,

Alexiadis²

2019

Applied Sciences

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“…The simulations in this study are based on Discrete Multiphysics (DMP), a modelling technique also used in Alexiadis et al 0, [19], [20] and Ariane et al [21], [22], [23], [24]. DMP is based on coupling various particle-based modelling techniques such as Smoothed Particle Hydrodynamics (SPH), Lattice Spring Model (LSM), and the Discrete Element Method (DEM).…”

Section: Modelling Approachmentioning

confidence: 99%

Modelling and Simulation of the Hydrodynamics and Mixing Profiles in the Human Proximal Colon Using Discrete Multiphysics

Schütt

Stamatopoulos

Simmons

et al. 2020

Preprint

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The proximal part of the colon offers opportunities to prolong the absorption window following oral administration of a drug. In this work, we used computer simulations to understand how the hydrodynamics in the proximal colon might affect the release from dosage forms designed to target the colon. For this purpose, we developed and compared three different models: a completely-filled colon, a partially-filled colon and a partially-filled colon with a gaseous phase present (gas-liquid model).The highest velocities of the liquid were found in the completely-filled model, which also shows the best mixing profile, defined by the distribution of tracking particles over time. No significant differences with regard to the mixing and velocity profiles were found between the partially-filled model and the gas-liquid model. The fastest transit time of an undissolved tablet was found in the completely-filled model. The velocities of the liquid in the gas-liquid model are slightly higher along the colon than in the partially-filled model. The filling level has an impact on the exsisting shear forces and shear rates, which are decisive factors in the development of new drugs and formulations.

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“…Note that there is another force, Saffman force, which is channel center/wall-directed lift force experienced by particles lagging/leading the fluid and it is not shown in the figure to avoid confusions. Qualitatively, in most of the literature, that relied on passive techniques, and in a fair amount of the literature, focused on active approaches, the numerical simulation had been used to refine the Qualitatively, in most of the literature, that relied on passive techniques, and in a fair amount of the literature, focused on active approaches, the numerical simulation had been used to refine the understanding of physical phenomena, or/and optimize micro-channel geometrical aspects [41][42][43][44][45][46][47][48][49]. It is noteworthy that herein, we focus mostly on separating and trapping techniques on mammalian cells that are passive and suspended inflow.…”

Section: Microfluidic Systems For Cellular Flow Manipulationmentioning

confidence: 99%

Advances in Computational Fluid Mechanics in Cellular Flow Manipulation: A Review

2019

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Recently, remarkable developments have taken place, leading to significant improvements in microfluidic methods to capture subtle biological effects down to single cells. As microfluidic devices are getting sophisticated, design optimization through experimentations is becoming more challenging. As a result, numerical simulations have contributed to this trend by offering a better understanding of cellular microenvironments hydrodynamics and optimizing the functionality of the current/emerging designs. The need for new marketable designs with advantageous hydrodynamics invokes easier access to efficient as well as time-conservative numerical simulations to provide screening over cellular microenvironments, and to emulate physiological conditions with high accuracy. Therefore, an excerpt overview on how each numerical methodology and associated handling software works, and how they differ in handling underlying hydrodynamic of lab-on-chip microfluidic is crucial. These numerical means rely on molecular and continuum levels of numerical simulations. The current review aims to serve as a guideline for researchers in this area by presenting a comprehensive characterization of various relevant simulation techniques.

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Modelling and simulation of flow and agglomeration in deep veins valves using discrete multi physics

Cited by 35 publications

References 38 publications

Interaction of Shock Waves with Discrete Gas Inhomogeneities: A Smoothed Particle Hydrodynamics Approach

Interaction of Shock Waves with Discrete Gas Inhomogeneities: A Smoothed Particle Hydrodynamics Approach

Modelling and Simulation of the Hydrodynamics and Mixing Profiles in the Human Proximal Colon Using Discrete Multiphysics

Advances in Computational Fluid Mechanics in Cellular Flow Manipulation: A Review

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