Progress in particle-based multiscale and hybrid methods for flow applications

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dc.contributor.authorTeschner, Tom-Robin
dc.contributor.authorKönözsy, László Z.
dc.contributor.authorJenkins, Karl W.
dc.date.accessioned2018-03-15T11:23:37Z
dc.date.available2018-03-15T11:23:37Z
dc.date.issued2016-04-06
dc.description.abstractThis work focuses on the review of particle-based multiscale and hybrid methods that have surfaced in the field of fluid mechanics over the last 20 years. We consider five established particle methods: molecular dynamics, direct simulation Monte Carlo, lattice Boltzmann method, dissipative particle dynamics and smoothed-particle hydrodynamics. A general description is given on each particle method in conjunction with multiscale and hybrid applications. An analysis on the length scale separation revealed that current multiscale methods only bridge across scales which are of the order of O(102)−O(103) and that further work on complex geometries and parallel code optimisation is needed to increase the separation. Similarities between methods are highlighted and combinations discussed. Advantages, disadvantages and applications of each particle method have been tabulated as a reference.en_UK
dc.identifier.citationTeschner TR, Könözsy L, Jenkins KW, Progress in particle-based multiscale and hybrid methods for flow applications, Microfluidics and Nanofluidics, Vol. 20, April 2016, Article number 68en_UK
dc.identifier.issn1613-4982
dc.identifier.urihttp://doi.org/10.1007/s10404-016-1729-y
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13092
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMultiscale simulationsen_UK
dc.subjectMolecular dynamicsen_UK
dc.subjectDirect simulation Monte Carloen_UK
dc.subjectLattice Boltzmannen_UK
dc.subjectDissipative particle dynamicsen_UK
dc.subjectSmoothed-particle hydrodynamicsen_UK
dc.titleProgress in particle-based multiscale and hybrid methods for flow applicationsen_UK
dc.typeArticleen_UK

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