DEM Simulation of Migration Phenomena in Slow, Dense Slurry Flow with Brownian Motion Effects

Koenders, M. A.; Ibrahim, Mohd Tarmizan; Vahid, Samireh

doi:10.1039/9781849735032-00039

Cited by 2 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The problem is studied for both cases, dilute and dense slurries. The results for the dilute case were compared with the Langevin method; see for example Davidchack et al (2009) [16] and Koenders et al (2012) [17]. Here, the quadratic velocity gives the same answer, while the quadratic displacement is not adequately reproduced.…”

Section: Implementation Of Brownian Motion By Thermal Pulsesmentioning

confidence: 99%

Advanced Theoretical and Computational Methods for Complex Materials and Structures

2021

View full text Add to dashboard Cite

show abstract

Section: Implementation Of Brownian Motion By Thermal Pulsesmentioning

confidence: 99%

Advanced Theoretical and Computational Methods for Complex Materials and Structures

2021

View full text Add to dashboard Cite

show abstract

Section: Implementation Of Brownian Motion By Thermal Pulsesmentioning

confidence: 99%

“…The particle migration effect can be suppressed by giving the particles an extra number of pulses in each time-step, so that the effect is a "smoothed" impulse. Further experimentation has established that if the number of extra pulses is equal to the number of nearby interacting particles, an approximate optimum is achieved; see for example; Koenders et al (2012) [17].…”

Section: Spectral Intensity Generation Of Thermal Impulses In 1-d Andmentioning

confidence: 99%

Improving Conductivity in Nano-Conduit Flows by Using Thermal Pulse-Induced Brownian Motion: A Spectral Impulse Intensity Approach

Tüzün

2019

Applied Sciences

View full text Add to dashboard Cite

Featured Application: Nanoparticle suspensions are used in a variety of applications involving the transport of reagents and products to and from structured material surfaces. The more efficient alignment of particle layers adjacent to, and in contact with, a reactive surface, such as found in a fuel cell, bio-medical and electrochemical device, is often reliant upon the effective control of the dynamics of particle assembly in narrow conduits. One such control is possible by spectral thermal pulsing to generate a controlled Brownian motion of particles. This is demonstrated by numerical simulation here to be highly effective when particles are conveyed in viscous fluids close to a neutrally buoyant condition. Abstract: Inter-particle and particle-wall connectivity in suspension flow has profound effects on thermal and electrical conductivity. The spectral impulse generation and the imparting of kinetic energy on the particles is shown through a mathematical analysis to be effective as a means of achieving an approximate equivalent of a Langevin thermostat. However, with dilute suspensions, the quadratic form of the thermal pulse spectra is modified with a damping coefficient to achieve the desired Langevin value. With the dense suspension system, the relaxation time is calculated from the non-linear differential equation, and the fluid properties were supported by the viscosity coefficient. A "smoothed" pulse is used for each time-step of the flow simulation to take care of the near-neighbor interactions of the adjacent particles. An approximate optimal thermostat is achieved when the number of extra pulses introduced within each time step is found to be nearly equal to the co-ordination number of each particle within the assembly. Furthermore, the ratio of the particle kinetic energy and the thermal energy imparted is found to be never quite equal to unity, as they both depend upon the finite values of the pulse duration and the relaxation time.well as providing uniform surface scaffolds for varied environmental emission detection and separation devices. Previous work using pore-scale CFD simulations (see for example Crevacore et al. 2017) [3] has investigated the effects of varying the direction of the acceleration due to gravity on colloidal suspensions from orthogonal to parallel to the fluid flow direction, and the resulting impact on Brownian motion and particle settling.Albert Einstein (1956) [4] formulated the mathematical framework for the kinetics of the Brownian motion of particles in suspension by considering the auto-correlation of fluctuating velocities and the spectral density of the intensity of fluctuations. It is possible to augment the physics of pressure-driven dense assembly flows of near-neutrally buoyant particles by combining the effects of (i) the lubrication forces due to the conveying fluid-immersed particle interactions and (ii) the drag forces due to fluid viscosity with those due to (iii) the thermal pulse-induced Brownian motion of particles.In a series of DEM simulations of sub-mi...

show abstract

DEM Simulation of Migration Phenomena in Slow, Dense Slurry Flow with Brownian Motion Effects

Cited by 2 publications

References 0 publications

Advanced Theoretical and Computational Methods for Complex Materials and Structures

Advanced Theoretical and Computational Methods for Complex Materials and Structures

Improving Conductivity in Nano-Conduit Flows by Using Thermal Pulse-Induced Brownian Motion: A Spectral Impulse Intensity Approach

Contact Info

Product

Resources

About