Correlation effects between turbulence and the conversion rate of pulverized char particles

Krüger, Jonas; Haugen, Nils Erland L.; Løvås, Terese

doi:10.1016/j.combustflame.2017.07.008

Cited by 30 publications

(14 citation statements)

References 57 publications

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“…Heat transfer, mass transfer, and particle drag are calculated based on the representative particle diameter for each parcel, neglecting any agglomeration or grouping effects. It is essential to consider flow shielding, radiation shading, and other inter-particle effects to predict the particle heat up and the thermo-chemical conversion within particle clouds or dense particle jets correctly [7][8][9][10][11][12][13][14].…”

Section: Discussionmentioning

confidence: 99%

Dataset for the Heat-Up and Heat Transfer towards Single Particles and Synthetic Particle Clusters from Particle-Resolved CFD Simulations

Pichler

Bösenhofer

Harasek

2022

Data

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Heat transfer to particles is a key aspect of thermo-chemical conversion of pulverized fuels. These fuels tend to agglomerate in some areas of turbulent flow and to form particle clusters. Heat transfer and drag of such clusters are significantly different from single-particle approximations commonly used in Euler–Lagrange models. This fact prompted a direct numerical investigation of the heat transfer and drag behavior of synthetic particle clusters consisting of 44 spheres of uniform diameter (60 μm). Particle-resolved computational fluid dynamic simulations were carried out to investigate the heat fluxes, the forces acting upon the particle cluster, and the heat-up times of particle clusters with multiple void fractions (0.477–0.999) and varying relative velocities (0.5–25 m/s). The integral heat fluxes and exact particle positions for each particle in the cluster, integral heat fluxes, and the total acting force, derived from steady-state simulations, are reported for 85 different cases. The heat-up times of individual particles and the particle clusters are provided for six cases (three cluster void fractions and two relative velocities each). Furthermore, the heat-up times of single particles with different commonly used representative particle diameters are presented. Depending on the case, the particle Reynolds number, the cluster void fraction, the Nusselt number, and the cluster drag coefficient are included in the secondary data.

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Section: Discussionmentioning

confidence: 99%

Dataset for the Heat-Up and Heat Transfer towards Single Particles and Synthetic Particle Clusters from Particle-Resolved CFD Simulations

Pichler

Bösenhofer

Harasek

2022

Data

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“…• Gaseous combustion and detonation (Babkovskaia, Haugen, and Brandenburg 2011;Zhang et al 2020;Krüger, Haugen, and Løvås 2017), • Burning particles, resolved or unresolved (Qian et al 2020),…”

Section: Discussionmentioning

confidence: 99%

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

Brandenburg,

Johansen,

Bourdin

et al. 2020

Preprint

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code can also evolve Lagrangian (inertial and noninertial) particles, their coagulation and condensation, as well as their interaction with the fluid. A related module has also been adapted to perform ray tracing and to solve the eikonal equation.The code is being used for Cartesian, cylindrical, and spherical geometries, but further extensions are possible. One can choose between different time stepping schemes and different spatial derivative operators. High-order first and second derivatives are used to deal with weakly compressible turbulent flows. There are also different diffusion operators to allow for both direct numerical simulations (DNS) and various types of large-eddy simulations (LES). High-level functionalityAn idea about the range of available modules can be obtained by inspecting the examples under pencil-code/samples/. Those are low resolution versions related to applications published in the literature. Some of the run directories of actual production runs are published through Zenodo. Below a list of method papers that describe the various applications and tests:

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“…• Gaseous combustion and detonation (Babkovskaia et al, 2011;Krüger et al, 2017;Zhang et al, 2020), • Burning particles, resolved or unresolved (Qian et al, 2020),…”

Section: High-level Functionalitymentioning

confidence: 99%

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

Brandenburg¹,

Johansen²,

Bourdin³

et al. 2021

JOSS

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127

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Correlation effects between turbulence and the conversion rate of pulverized char particles

Cited by 30 publications

References 57 publications

Dataset for the Heat-Up and Heat Transfer towards Single Particles and Synthetic Particle Clusters from Particle-Resolved CFD Simulations

Dataset for the Heat-Up and Heat Transfer towards Single Particles and Synthetic Particle Clusters from Particle-Resolved CFD Simulations

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

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