Abstract:
In this work, the flow properties of gas-solid fluidized beds are investigated, with
particular attention to Geldart-B particles that differ in size but have comparable
densities, as well as particles that have the same size but variable densities. The
investigation explores the impact of various factors on bed behavior, including bed
dimensions, gas velocity profiles, initial bed height, solid fraction variations, and
particle properties such as density, restitution coefficient, and specularity coefficient. It
also assesses the impact of mesh size on computational accuracy and evaluates different
drag models for their effectiveness in simulating fluidized bed dynamics. The
simulation framework is validated against real data from experiments, ensuring that
simulated results closely match real-world observations and enhancing the model's
reliability. Combining experimental data with simulations confirms the theoretical
framework and improves models' predictive capabilities. The integrated approach
provides insights into optimizing fluidized bed operations for various industrial
applications. Understanding the interaction of factors like particle size, density, and bed
geometry allows for adjustments in operational parameters, enhancing efficiency and
performance. Accurate predictions aid in designing and scaling up fluidized bed
systems with greater confidence. This research advances the understanding and
predictive accuracy of gas-solid fluidized bed systems, providing a strong foundation
for further exploration and optimization of these technologies, supporting innovation
and improvement in related industrial processes.
