Extension of the compressible PISO algorithm to single-species aerosol formation and transport

Frederix, E.M.A.; Stanić, Miloš; Kuczaj, Arkadiusz K.; Nordlund, Markus; Geurts, Bernardus J.

doi:10.1016/j.ijmultiphaseflow.2015.04.015

Cited by 14 publications

(7 citation statements)

References 22 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…More details about the expressions of the source terms, S α and S β , can be found in refs. [1,49]. Mass conservation of an aerosol system with n gas or vapor species and m particle sizes imposes the following constraints on the mass fractions, diffusion fluxes, and the mass source terms: …”

Section: Eulerian-eulerian Methodsmentioning

confidence: 99%

“…[118], where it was concluded that the PISO algorithm is computationally efficient and much more effective for timeaccurate simulations than the SIMPLE algorithm. In the context of aerosol formation and transport, the compressible PISO algorithm for reacting flows [113] has been extended to incorporate the formation and transport of single-species aerosols and its numerical properties have been investigated [49].…”

Section: Numerical Algorithmsmentioning

confidence: 99%

See 1 more Smart Citation

Aerosol Dosimetry Modeling Using Computational Fluid Dynamics

Nordlund

Kuczaj

2015

Methods in Pharmacology and Toxicology

View full text Add to dashboard Cite

In this chapter, the current state of the art in modeling and prediction of aerosol deposition in respiratory systems using computational fluid dynamics (CFD) is presented and reviewed. First, the physical and chemical processes governing aerosol transport, evolution, and deposition are described followed by their coupling via fundamental conservation laws. The different ways to numerically model aerosol dynamics are then described and a brief overview of the different methods that can be used to obtain a realistic geometry, computational mesh, and simulation conditions of the respiratory system is given. A short review of available numerical algorithms to solve the systems of strongly coupled partial differential equations is also presented followed by a brief discussion of the importance of proper model verification and validation. To complete the path between the inhaled aerosol and the toxicological effects, attempts to couple deterministic CFD-based aerosol deposition modeling with biological effects via physiologically based pharmacokinetic (PBPK) models are described. Finally, conclusions and the current general trends in the application of CFD to toxicological science are given.

show abstract

Section: Eulerian-eulerian Methodsmentioning

confidence: 99%

Section: Numerical Algorithmsmentioning

confidence: 99%

Aerosol Dosimetry Modeling Using Computational Fluid Dynamics

Nordlund

Kuczaj

2015

Methods in Pharmacology and Toxicology

View full text Add to dashboard Cite

show abstract

“…The flow is assumed to be laminar due to the small Reynolds number involved in the case investigated. The PressureImplicit with Splitting Operators (PISO) algorithm is selected for pressure-velocity coupling as the algorithm provides better solutions for transient cases [12,[22][23][24][25].…”

Section: Computational Modelmentioning

confidence: 99%

The Effect of Temperature Field on Low Amplitude Oscillatory Flow within a Parallel-Plate Heat Exchanger in a Standing Wave Thermoacoustic System

Saat

Jaworski

2017

Applied Sciences

View full text Add to dashboard Cite

Thermoacoustic technologies rely on a direct power conversion between acoustic and thermal energies using well known thermoacoustic effects. The presence of the acoustic field leads to oscillatory heat transfer and fluid flow processes within the components of thermoacoustic devices, notably heat exchangers. This paper outlines a two-dimensional ANSYS FLUENT CFD (computational fluid dynamics) model of flow across a pair of hot and cold heat exchangers that aims to explain the physics of phenomena observed in earlier experimental work. Firstly, the governing equations, boundary conditions and preliminary model validation are explained in detail. The numerical results show that the velocity profiles within heat exchanger plates become distorted in the presence of temperature gradients, which indicates interesting changes in the flow structure. The fluid temperature profiles from the computational model have a similar trend with the experimental results, but with differences in magnitude particularly noticeable in the hot region. Possible reasons for the differences are discussed. Accordingly, the space averaged wall heat flux is discussed for different phases and locations across both the cold and hot heat exchangers. In addition, the effects of gravity and device orientation on the flow and heat transfer are also presented. Viscous dissipation was found to be the highest when the device was set at a horizontal position; its magnitude increases with the increase of temperature differentials. These indicate that possible losses of energy may depend on the device orientation and applied temperature field.

show abstract

“…The original PISO algorithm [24] was intended to have only a single pass through the predictor and two corrector steps. In order to improve the precision of the algorithm and to control conservation errors coming from the segregated approach, we have added a convergence condition at the end of the algorithm as proposed by [25]. This condition is based on the residual value obtained by inserting the latest pressure solution p * * into the pressure equation of the first corrector step.…”

Section: Re-distributed Resistivity Algorithmmentioning

confidence: 99%

“…The major difference with respect to the original PISO [24] is that the time step begins with redistributing the porous resistance values. The convergence condition is based on the residual value obtained by inserting the latest pressure solution p * * into the pressure equation of the first corrector step [25]. …”

Section: Face Consistent Pressure Piso Algorithmmentioning

confidence: 99%

Improved PISO algorithms for modeling density varying flow in conjugate fluid–porous domains

Nordlund

Stanić

Kuczaj

et al. 2016

Journal of Computational Physics

Self Cite

View full text Add to dashboard Cite

Two modified segregated PISO algorithms are proposed, which are constructed to avoid the development of spurious oscillations in the computed flow near sharp interfaces of conjugate fluid-porous domains. The new collocated finite volume algorithms modify the Rhie-Chow interpolation to maintain a correct pressure-velocity coupling when large discontinuous momentum sources associated with jumps in the local permeability and porosity are present. The Re-Distributed Resistivity (RDR) algorithm is based on spreading flow resistivity over the grid cells neighboring a discontinuity in material properties of the porous medium. The Face Consistent Pressure (FCP) approach derives an auxiliary pressure value at the fluid-porous interface using momentum balance around the interface. Such derived pressure correction is designed to avoid spurious oscillations as would otherwise arise with a strictly central discretization. The proposed algorithms are successfully compared against published data for the velocity and pressure for two reference cases of viscous flow. The robustness of the proposed algorithms is additionally demonstrated for strongly reduced viscosity, i.e., higher Reynolds number flows and low Darcy numbers, i.e., low permeability of the porous regions in the domain, for which solutions without unphysical oscillations are computed. Both RDR and FCP are found to accurately represent porous media flow near discontinuities in material properties on structured grids.

show abstract

Extension of the compressible PISO algorithm to single-species aerosol formation and transport

Cited by 14 publications

References 22 publications

Aerosol Dosimetry Modeling Using Computational Fluid Dynamics

Aerosol Dosimetry Modeling Using Computational Fluid Dynamics

The Effect of Temperature Field on Low Amplitude Oscillatory Flow within a Parallel-Plate Heat Exchanger in a Standing Wave Thermoacoustic System

Improved PISO algorithms for modeling density varying flow in conjugate fluid–porous domains

Contact Info

Product

Resources

About