(135f) Analyzing Fluidized Bed Prediction Accuracy: From Modeling Framework to Material Properties | AIChE

(135f) Analyzing Fluidized Bed Prediction Accuracy: From Modeling Framework to Material Properties

Authors 

LaMarche, C. - Presenter, Particulate Solid Research Inc
Chew, J. W., Nanyang Technological University, Singapore
Cocco, R., Particulate Solid Research, Inc. (PSRI)
Achieving accurate predictions of fluidized bed behavior has been the focus of significant research efforts for the past several years. Understanding the sources of mismatch between predictions and experiments is clouded by a potential combination of various factors, e.g., missing physics, lack of relevant model validation, etc. In this work, fluidized bed predictions are compared to measurements for a wide experimental parameter space, several drag model formulations, and multiple numerical frameworks. In particular, prediction accuracy is assessed by comparing pressure gradient and entrainment rate measurements for bubbling and turbulent fluidized beds to predictions. Simulation predictions are compared against experimental measurements for Geldart Group A and Group B materials fluidized with multiple superficial gas velocities. In this investigation, the accuracy of multiple drag models are assessed and compared across the range of material properties and superficial gas velocity studied. Results from simulations conducted in the Eulerian-Eulerian (i.e., two-fluid model) and Eulerian-Lagrangian (e.g., MP-PIC) framework will be compared and discussed.