Validation of the CFD-DPM solver DPMFoam in $$\hbox {OpenFOAM}^\circledR $$ OpenFOAM ® through analytical, numerical and experimental comparisons

Fernandes, Célio; Semyonov, Denis; Ferrás, Luís Jorge Lima; Nóbrega, J. M.

doi:10.1007/s10035-018-0834-x

Cited by 63 publications

(23 citation statements)

References 28 publications

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“…In the program the discrete particle modelling solver DPMFoam was selected which is capable to simulate the fluid flow and the particles at the same time. A detailed description of the solver can be found in Fernandes et al (2018). In our case the solver libraries were modified and extended for our purposes.…”

Section: Openfoam Implementationmentioning

confidence: 99%

Investigation of the motion of magnetic nanoparticles in microfluidics with a micro domain model

Palovics

Rencz

2020

Microsyst Technol

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In this paper the magnetic nanoparticle (MNP) dynamics in a microfluidic device is investigated in the presence of an external magnetic field. The nanoparticles are used for enzyme-substrate reaction measurements, where the enzyme is immobilized to the surface of the nanoparticles. During the measurements the microreactors, called microchambers are filled up with the MNPs where the distribution of the nanoparticles significantly influences the results of the further reaction measurements. In this paper the procedure of the nanoparticle aggregation is investigated numerically in the microchamber in a micro domain simulation space. First the acting forces on the MNPs are examined from the different phenomena. An in-house numerical model is presented where the dynamics of several MNPs are simulated in the micro-size domain. This model is also embedded in the open source CFD software OpenFOAM. The theoretical calculations and the simulations show that the particle-particle interaction due to magnetization plays an important role during the aggregation procedure. The particles in the magnetic field cluster over the time into chains, which phenomenon is in good agreement with the literature. A theoretical model of the chain dynamics is also established, which is compared to the simulation results. The presented micro domain model was later used to improve an Eulerian-Eulerian based two-phase CFD model and solver, which is able to model the complete MNP aggregation procedure in the magnetic field in macroscopic domains.

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Section: Openfoam Implementationmentioning

confidence: 99%

Investigation of the motion of magnetic nanoparticles in microfluidics with a micro domain model

Palovics

Rencz

2020

Microsyst Technol

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“…Governing equations for the particle system A particle in movement may exchange momentum and energy with other particles, walls or with the surrounding fluid (Fernandes et al, 2018). Most of the typical forces acting on a particle in a granular flow can be included within snowBedFoam 1.0., if required.…”

Section: Mosaic Campaignmentioning

confidence: 99%

Modelling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Hames

Jafari

Wagner

et al. 2021

Preprint

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Abstract. The remoteness and extreme conditions of the Arctic make it a very difficult environment to investigate. In these regions, the wind has a substantial effect and redistributes a large part of the snow, which complicates precipitation estimates. Moreover, the snow mass balance in the sea ice system is still poorly understood, notably due to the complex structure of its surface. Quantitatively assessing the snow distribution on sea ice and its connection to the sea ice surface features is an important step to remove these uncertainties. In this work we introduce snowBedFoam 1.0., a physics-based snow transport model implemented in the open source fluid dynamics software OpenFOAM. We combine the numerical simulations with terrestrial lidar observations of surface dynamics to simulate snow deposition on a piece of MOSAiC sea ice with a complicated structure typical for pressure ridges. The results demonstrate that a large fraction of snow accumulates in their vicinity, which compares favorably against terrestrial laser scans. However, the approximations imposed by the numerical framework together with potential measurement errors (precipitation) give rise to quantitative inaccuracies. The modelling of snow distribution on sea ice should help to better constrain precipitation estimates and more generally assess and predict snow and ice dynamics in the Arctic.

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“…This study regarded gas as the continuous phase and solid particles as the discrete phase using the Euler-Lagrange method [26]. In the Euler coordinate system, considering a shear stress transfer (SST) k-ω turbulence model, the motion of the continuous phase is obtained [27].…”

Section: Cfd Simulation and Analysismentioning

confidence: 99%

Characterization of the Solid Particle Erosion of the Sealing Surface Materials of a Ball Valve

Peng

Dong

Wang

et al. 2021

Metals

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The ball valve is an essential piece of equipment in an oil and gas pipeline. The sand particles transported through the pipeline can cause erosion and wear to the ball valve, thus causing it to fail, leading to serious safety hazards. In this paper, the self-designed erosion experiment method was combined with computational fluid dynamics (CFD), while the Euler-Lagrange method was also introduced to optimize the Oka erosion model and Ford particle-wall rebound model. The erosion mechanism and characteristics of the ball valve sealing surface in gas-solid two-phase flow were simulated, while the erosion condition of the specimen was analyzed and compared when exposed to different factors, such as different particle velocities, impact angle, particle size, and specimen materials. The experimental data conformed well to the CFD erosion simulation data, verifying the accuracy of the CFD simulation analysis. The results indicated that the worn surface was caused by various wear mechanisms, while a “stagnation zone” was identified at the center of the specimen. The maximum erosion area, which was U-shaped, was also located at the center. The erosion rate increased in conjunction with an increase in the particle velocity and size, both of which failed to affect the erosion pattern. The erosion rate initially increased, after which it decreased with the impact angle, reaching the maximum value at an impact angle of 30°. This paper summarizes the erosion failure mechanism and characteristics in gas–solid two-phase flow and provides both technical support and a theoretical basis for the on-site maintenance of essential vulnerable parts in the pipeline, such as ball valves.

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Validation of the CFD-DPM solver DPMFoam in $$\hbox {OpenFOAM}^\circledR $$ OpenFOAM ® through analytical, numerical and experimental comparisons

Cited by 63 publications

References 28 publications

Investigation of the motion of magnetic nanoparticles in microfluidics with a micro domain model

Investigation of the motion of magnetic nanoparticles in microfluidics with a micro domain model

Modelling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.

Characterization of the Solid Particle Erosion of the Sealing Surface Materials of a Ball Valve

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