Literature DB >> 16089686

Diffusion properties of gradient-based lattice Boltzmann models of immiscible fluids.

M Latva-Kokko1, Daniel H Rothman.   

Abstract

We study the diffusion and phase separation properties of a gradient-based lattice Boltzmann model of immiscible fluids. We quantify problems of lattice pinning associated with the model, and suggest a scheme that removes these artifacts. The interface width is controlled by a single parameter that acts as an inverse diffusion length. We derive an analytic expression of a fully developed interfacial curve and show that interfaces evolve towards this stable distribution if no fluid is trapped. Fluid can become trapped inside a competing phase if no connecting path to the bulk phase exists. Such trapped bubbles also evolve towards the fully developed interfacial curve but constraints on mass conservation limit this development. We also show how small numerical errors lead to spontaneous phase separation for all values of the diffusion length.

Year:  2005        PMID: 16089686     DOI: 10.1103/PhysRevE.71.056702

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Droplets on inclined rough surfaces.

Authors:  J Hyväluoma; A Koponen; P Raiskinmäki; J Timonen
Journal:  Eur Phys J E Soft Matter       Date:  2007-07-24       Impact factor: 1.890

2.  Mesoscale modelling of soft flowing crystals.

Authors:  A Montessori; M Lauricella; S Succi
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-04-08       Impact factor: 4.226

3.  Prediction of immiscible two-phase flow properties in a two-dimensional Berea sandstone using the pore-scale lattice Boltzmann simulation.

Authors:  Meng Xu; Haihu Liu
Journal:  Eur Phys J E Soft Matter       Date:  2018-10-18       Impact factor: 1.890

4.  Lattice Boltzmann simulations capture the multiscale physics of soft flowing crystals.

Authors:  A Montessori; A Tiribocchi; F Bonaccorso; M Lauricella; S Succi
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2020-06-22       Impact factor: 4.226

5.  Tracking droplets in soft granular flows with deep learning techniques.

Authors:  Mihir Durve; Fabio Bonaccorso; Andrea Montessori; Marco Lauricella; Adriano Tiribocchi; Sauro Succi
Journal:  Eur Phys J Plus       Date:  2021-08-21       Impact factor: 3.911

6.  Liquid membrane catalytic model of hydrolyzing cellulose into 5-hydroxymethylfurfural based on the lattice Boltzmann method.

Authors:  Qun Mei; Xiangqian Wei; Weitao Sun; Xinghua Zhang; Wenzhi Li; Longlong Ma
Journal:  RSC Adv       Date:  2019-04-25       Impact factor: 4.036

  6 in total

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