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Journal cover: International Journal of Numerical Methods for Heat & Fluid Flow

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Online from: 1991

Subject Area: Mechanical & Materials Engineering

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Multi-scale computational modelling of flow and heat transfer


Document Information:
Title:Multi-scale computational modelling of flow and heat transfer
Author(s):Dimitris Drikakis, (Fluid Mechanics and Computational Science Group, Department of Aerospace Sciences, Cranfield University, Cranfield, UK), Nikolaos Asproulis, (Fluid Mechanics and Computational Science Group, Department of Aerospace Sciences, Cranfield University, Cranfield, UK)
Citation:Dimitris Drikakis, Nikolaos Asproulis, (2010) "Multi-scale computational modelling of flow and heat transfer", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 20 Iss: 5, pp.517 - 528
Keywords:Flow, Fluid dynamics, Gas flow, Heat transfer, Microscopy, Modelling
Article type:Research paper
DOI:10.1108/09615531011048222 (Permanent URL)
Publisher:Emerald Group Publishing Limited
Abstract:

Purpose – The purpose of this paper is to present different approaches for applying macroscopic boundary conditions in hybrid multiscale modelling.

Design/methodology/approach – Molecular dynamics (MD) was employed for the microscopic simulations. The continuum boundary conditions were applied either through rescaling of atomistic velocities or resampling based on velocity distribution functions.

Findings – The methods have been tested for various fluid flows with heat transfer scenarios. The selection of the most suitable method is not a trivial task and depends on a number of factors such as accuracy requirements and availability of computational resource.

Originality/value – The applicability of the methods has been assessed for liquid and gas flows. Specific parameters that affect their accuracy and efficiency have been identified. The effects of these parameters on the accuracy and efficiency of the simulations are investigated. The study provides knowledge regarding the development and application of boundary conditions in multiscale computational frameworks.



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