2019
DOI: 10.1108/hff-05-2019-0437
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Numerical simulation of dissolution of solid particles in fluid flow using the SPH method

Abstract: Purpose The purpose of this paper is to numerically study the dissolution of solid particles using the smoothed particle hydrodynamics (SPH) method. Design/methodology/approach To implement dissolution, an advection–diffusion mass transport equation is solved over computational particles. Subsequently, these particles disintegrate from the solute when their concentration falls below a certain threshold. Findings It is shown that the implementation of dissolution is in good agreement with available data in … Show more

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Cited by 24 publications
(16 citation statements)
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“…SPH is a mesh-free Lagrangian particle-based method, which was initially developed by Gingold and Monaghan 31 for astrophysical problems. However, it had been used for simulating a broad range of physical problems including free surface, [32][33][34] turbulent, 35,36 multi-phase, 15,37,38 heat transfer, 39,40 and biological problems. 41,42 In this section, the SPH method is described in more detail, which is used in our simulation.…”
Section: Methodsmentioning
confidence: 99%
“…SPH is a mesh-free Lagrangian particle-based method, which was initially developed by Gingold and Monaghan 31 for astrophysical problems. However, it had been used for simulating a broad range of physical problems including free surface, [32][33][34] turbulent, 35,36 multi-phase, 15,37,38 heat transfer, 39,40 and biological problems. 41,42 In this section, the SPH method is described in more detail, which is used in our simulation.…”
Section: Methodsmentioning
confidence: 99%
“…Thanks to its particle nature SPH is part of the Discrete Multi-Physics framework where, coupled with other particle methods [38][39][40], is used to address multi-complex physics phenomena [41][42][43][44][45] to overcome the single weakness of each method.…”
Section: Model 21 Smoothed Particle Hydrodynamicsmentioning
confidence: 99%
“…In this way, it is possible to extend the range of application of a single method by introducing potentials typical of other particle methods. This technique has been successfully used in several fields including fluid–structure interactions [ 33 , 34 , 35 ], solidification/dissolution [ 36 , 37 ], biological flows [ 38 , 39 , 40 ] and even machine learning [ 41 , 42 ]. In the case under investigation, we do not model water as a fluid.…”
Section: Theorymentioning
confidence: 99%