Torben Bergold, Enric Illana-Mahiques, Viktor Scherer
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引用次数: 0
Abstract
Intraparticle models of thermal processes are essential in the Discrete Element Method (DEM) when particles are thermally thick. Accurately solving the intraparticle conservation equations using the finite volume method requires sufficient spatial and temporal resolution, increasing simulation cost. This short communication proposes to replace the finite volume method (FVM) by a novel tabulated model that reduces the computational effort without compromising accuracy. The look-up database is generated from a set of single-particle simulations under different boundary conditions using the FVM. To assess the capability of the tabulated model to reproduce the results of the finite volume method, another single particle case with periodic functions for the fluid temperature is simulated. Results showed that tabulation provides accurate predictions while reducing computational cost by a factor of 3–10.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.