most citedDiscrete Element Simulations and Machine Learning for Improving the Performance of Dry Catalyst Continuous Impregnation Processes

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2023

Scale-up of Dry Impregnation Processes for Porous Spherical Catalyst Particles in a Rotating Drum: Experiments and Simulations

Maria Silvina Tomassone, Yangyang Shen, Bill Borghard +2

Catalyst impregnation is one of the most crucial steps for preparing industrial catalysts. The inter-particle variability of the impregnated liquid inside the particles significant…

physics.app-ph2022★ 1 cited

Discrete Element Simulations and Machine Learning for Improving the Performance of Dry Catalyst Continuous Impregnation Processes

Joseph Shovlin, Kuang Liu, Yangyang Shen +3

In this work, discrete element method (DEM) simulations coupled with machine learning are used to study the process of dry impregnation. Our results show that the particle bed cont…