### Abstract

Original language | English |
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Pages (from-to) | 1-19 |

Journal | Computational Particle Mechanics |

Publication status | E-pub ahead of print - 2018 |

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**Voidage correction algorithm for unresolved Euler–Lagrange simulations.** / Askarishahi, Maryam; Salehi, Mohammadsadegh; Radl, Stefan.

Research output: Contribution to journal › Article › Research › peer-review

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TY - JOUR

T1 - Voidage correction algorithm for unresolved Euler–Lagrange simulations

AU - Askarishahi, Maryam

AU - Salehi, Mohammadsadegh

AU - Radl, Stefan

PY - 2018

Y1 - 2018

N2 - The effect of grid coarsening on the predicted total drag force and heat exchange rate in dense gas–particle flows is investigated using Euler–Lagrange (EL) approach. We demonstrate that grid coarsening may reduce the predicted total drag force and exchange rate. Surprisingly, exchange coefficients predicted by the EL approach deviate more significantly from the exact value compared to results of Euler–Euler (EE)-based calculations. The voidage gradient is identified as the root cause of this peculiar behavior. Consequently, we propose a correction algorithm based on a sigmoidal function to predict the voidage experienced by individual particles. Our correction algorithm can significantly improve the prediction of exchange coefficients in EL models, which is tested for simulations involving Euler grid cell sizes between 2dp and 12dp. It is most relevant in simulations of dense polydisperse particle suspensions featuring steep voidage profiles. For these suspensions, classical approaches may result in an error of the total exchange rate of up to 30%.

AB - The effect of grid coarsening on the predicted total drag force and heat exchange rate in dense gas–particle flows is investigated using Euler–Lagrange (EL) approach. We demonstrate that grid coarsening may reduce the predicted total drag force and exchange rate. Surprisingly, exchange coefficients predicted by the EL approach deviate more significantly from the exact value compared to results of Euler–Euler (EE)-based calculations. The voidage gradient is identified as the root cause of this peculiar behavior. Consequently, we propose a correction algorithm based on a sigmoidal function to predict the voidage experienced by individual particles. Our correction algorithm can significantly improve the prediction of exchange coefficients in EL models, which is tested for simulations involving Euler grid cell sizes between 2dp and 12dp. It is most relevant in simulations of dense polydisperse particle suspensions featuring steep voidage profiles. For these suspensions, classical approaches may result in an error of the total exchange rate of up to 30%.

M3 - Article

SP - 1

EP - 19

JO - Computational Particle Mechanics

JF - Computational Particle Mechanics

SN - 2196-4378

ER -