CFD‐DEM Applications to Multiphase Flow

Norouzi, Hamid Reza; Zarghami, Reza; Sotudeh‐Gharebagh, Rahmat; Mostoufi, Navid

doi:10.1002/9781119005315.ch7

Cited by 2 publications

(1 citation statement)

References 131 publications

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“…This case poses a significant computational challenge, as momentum and heat transfer equations need to be solved simultaneously for the entire fluid domain and for every solid particle. Computational fluid dynamics-discrete element method (CFD-DEM) simulations are capable of handling this kind of multiphase system; however, this is time consuming for large-or industry-scale systems or if parametric studies need to be performed [8]. Because our primary objective is the achievement of process safety, which is related to the time temperature history of the particles, particularly the temperature of the fastest moving particulates at its geometric center, the model can be simplified by solving the energy transport equations for both liquid and solid phases.…”

Section: The Mathematical Modelmentioning

confidence: 99%

Lethality Calculation of Particulate Liquid Foods during Aseptic Processing

et al. 2019

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In the past two decades, aseptic processing has been implemented in the food industry to sterilize particulate liquid food mixtures. To ensure that particulates in the liquid receive sufficient heating, mathematical modeling is employed to evaluate the temperature and lethality level in the particles. We developed a model for the thermal processing of liquid foods containing cubic particles in a continuous laminar pipe flow system, comprising a tubular heat exchanger. In our simplified approach, heat transfer equations for particulate liquid foods were solved analytically and numerically to evaluate the effect of certain process parameters on the time temperature profiles of particles and the lethality value in the products. A comparison of the particles’ lethality values was made between the experiment and simulation for two different particle residence times in a case study, and the model predictions were in good agreement with experimental data. Based on modeling studies, it was found that within the range of parameters studied, an increase in flow rate and particle size resulted in a decrease in the lethality value of the particles, while an increase in particle concentration and holding tube length resulted in the opposite effect.

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Section: The Mathematical Modelmentioning

confidence: 99%

Lethality Calculation of Particulate Liquid Foods during Aseptic Processing

et al. 2019

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Experimental data for code validation: Horizontal air jets in a semicircular fluidized bed of Geldart Group D particles

et al. 2018

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Experiments were conducted with 6 mm plastic beads (Geldart Group D) in a semi‐circular, gas‐fluidized bed with side jets. Attention was paid to particle characterization and bed measurements, making the resulting dataset ideal for CFD‐DEM validation and uncertainty quantification. The bed was operated slightly above and below the minimum fluidization velocity, with additional fluidization provided by one of two pairs of opposing jets located above the distributor near the flat, front face of the unit. Care is taken to report material properties and bed conditions with either measured distribution functions or uncertainty bounds. High‐speed video imaging and particle tracking velocimetry are used to extract bin‐averaged velocity profiles, which are used to extract jet penetration depths. The time‐averaged mean and standard deviation of the bed pressure drop is also reported. Finally, the lower jets are also inserted into the bed until the opposing jets merge to form a spout‐like pattern. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2351–2363, 2018

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CFD‐DEM Applications to Multiphase Flow

Cited by 2 publications

References 131 publications

Lethality Calculation of Particulate Liquid Foods during Aseptic Processing

Lethality Calculation of Particulate Liquid Foods during Aseptic Processing

Experimental data for code validation: Horizontal air jets in a semicircular fluidized bed of Geldart Group D particles

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