20 May 2013
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SPH – a versatile multiphysics modeling tool

Author(s): Fangming Jiang1 and Antonio C.M. Sousa2, 3

Abstract:
In this chapter, the current state-of-the-art and recent advances of a novel numerical method – the Smoothed Particle Hydrodynamics (SPHs) will be reviewed through case studies with particular emphasis to fluid flow and heat transport.

To provide sufficient background and to assess its engineering/scientific relevance, three particular case studies will be used to exemplify macro- and nanoscale applications of this methodology.

The first application deals with magnetohydrodynamic (MHD) turbulence control.

Effective control of the transition to turbulence of an electrically conductive fluid flow can be achieved by applying a stationary magnetic field, which is not simply aligned along the streamwise or transverse flow direction, but along a direction that forms an angle with the main fluid flow in the range of 0◦ (streamwise) to 90◦ (transverse).

The SPH numerical technique is used to interpret this concept and to analyze the magnetic conditions.

The second application deals with non-Fourier ballistic-diffusive heat transfer, which plays a crucial role in the development of nanotechnology and the operation of submicron- and nanodevices. The ballistic-diffusive equation to heat transport in a thin film is solved numerically via the SPH methodology.

The third application deals with mesoscopic pore-scale model for fluid flow in porous media.

SPH simulations enable microscopic visualization of fluid flow in porous media as well as the prediction of an important macroscopic parameter – the permeability.

Keywords:
CFD, Numerical methods, Smoothed particle hydrodynamics 10.

1 Introduction:
A novel numerical method – the smoothed particle hydrodynamic (SPH) offers a relatively flexible tool for heat and fluid flow computations, as it can cope with a wide range of space scales and of physical phenomena.

SPH is a meshless particlebased Lagrangian fluid dynamics simulation technique, in which the fluid flow is ...

Pages: 42
Size: 2,015 kb
Paper DOI: 10.2495/978-1-84564-144-3/10

 

 

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This paper can be found in the following book

Computational Fluid Dynamics and Heat Transfer

Computational Fluid Dynamics and Heat Transfer

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