UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Systematic analysis of mixing and segregation patterns of binary mixtures in fluidised beds for multi-functional processes

Zhu, Hualun; Lettieri, Paola; Materazzi, Massimiliano; (2025) Systematic analysis of mixing and segregation patterns of binary mixtures in fluidised beds for multi-functional processes. Powder Technology , 449 , Article 120419. 10.1016/j.powtec.2024.120419. Green open access

[thumbnail of Zhu_1-s2.0-S0032591024010635-main.pdf]
Preview
Text
Zhu_1-s2.0-S0032591024010635-main.pdf

Download (5MB) | Preview

Abstract

Fluidized beds are increasingly used in renewable energy and chemical production due to their versatility in handling different solids for multi-functional industrial applications. The diversity in size and density of solid particles impacts fluidization, influencing mixing and segregation behaviours critical for optimizing chemical processes and reactor design. This study investigates the expansion and segregation behaviours of mixed Geldart group powders in binary systems, simulating polydispersed beds with different materials and catalysts. By applying a modified Cheung equation and an adapted Gibilaro-Rowe model, the study analyzes segregation behaviours of Geldart Group A and B materials at varying mixing rates and gas flow velocities. Results show a good match between experimental data and model predictions. Using novel non-invasive X-ray imaging, the study provides real-time analysis of mixing and segregation at different fluidization regimes and temperatures. These findings aid in designing and optimizing advanced thermochemical conversion technologies, enhancing process efficiency and resilience.

Type: Article
Title: Systematic analysis of mixing and segregation patterns of binary mixtures in fluidised beds for multi-functional processes
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.powtec.2024.120419
Publisher version: https://doi.org/10.1016/j.powtec.2024.120419
Language: English
Additional information: © 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Binary particles, X-ray imaging, Fluidized bed, Mixing and segregation, Sorption-enhanced
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10203465
Downloads since deposit
6Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item