Literature DB >> 32564719

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

A Montessori1, A Tiribocchi1,2, F Bonaccorso2, M Lauricella1, S Succi1,2,3.   

Abstract

The study of the underlying physics of soft flowing materials depends heavily on numerical simulations, due to the complex structure of the governing equations reflecting the competition of concurrent mechanisms acting at widely disparate scales in space and time. A full-scale computational modelling remains a formidable challenge since it amounts to simultaneously handling six or more spatial decades in space and twice as many in time. Coarse-grained methods often provide a viable strategy to significantly mitigate this issue, through the implementation of mesoscale supramolecular forces designed to capture the essential physics at a fraction of the computational cost of a full-detail description. Here, we review some recent advances in the design of a lattice Boltzmann mesoscale approach for soft flowing materials, inclusive of near-contact interactions (NCIs) between dynamic interfaces, as they occur in high packing-fraction soft flowing crystals. The method proves capable of capturing several aspects of the rheology of soft flowing crystals, namely, (i) a 3/2 power-law dependence of the dispersed phase flow rate on the applied pressure gradient, (ii) the structural transition between an ex-two and ex-one (bamboo) configurations with the associated drop of the flow rate, (iii) the onset of interfacial waves once NCI is sufficiently intense. This article is part of the theme issue 'Fluid dynamics, soft matter and complex systems: recent results and new methods'.

Entities:  

Keywords:  emulsions; lattice Boltzmann; microfluidics; soft flowing crystals

Year:  2020        PMID: 32564719      PMCID: PMC7333952          DOI: 10.1098/rsta.2019.0406

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  24 in total

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8.  Quantum time crystals.

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9.  Mesoscopic modelling and simulation of soft matter.

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10.  Rapid Prototyping of Microfluidic Systems in Poly(dimethylsiloxane).

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