Abstract
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.
Highlights
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Virtual prototyping and digital twins of industrial processes for investigation and optimization have become increasingly popular with increasing computational power
Pulverized coal boilers [1,2] and blast furnaces [3,4] show great potential for optimization using computational investigations. In both cases, pulverized fuel particles are injected into the furnace, where the thermo-chemical conversion starts immediately
Summary
Virtual prototyping and digital twins of industrial processes for investigation and optimization have become increasingly popular with increasing computational power. The data set presented in the current work includes additional information about convective and radiative heat fluxes, averaged particle temperatures, and the particle position of each particle in the cluster. The data presented in this article can help understand the convective and radiative heat transfer, and drag behavior of single particles in a clustered arrangement and particle clusters at void fractions close to packed beds up to single spheres. The presented data have the potential to improve the simulation of heat transfer in any turbulent gas–solid flow where clustering effects occur. These phenomena include, among others, pulverized particle combustion, pulverized carbon carrier injection in iron making, or pharmaceutical and chemical processes.
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