Experimental study on binary solids drying in a vibro-fluidized bed

M.J.A. de Munck, D.P.F. Marrevee, E.A.J.F. Peters (Corresponding author), J.A.M. Kuipers

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Vibro-fluidized beds can improve the solids drying characteristics by enhancing the gas–solid contacting. In this study, experiments in a pseudo-2D vibro-fluidized bed setup are performed in order to better understand this improved drying behavior of binary solids mixtures. A coupled particle image velocimetry-infrared thermography technique is applied. Furthermore, a machine learning algorithm is used to characterize the bed segregation and mixing dynamics under the influence of mechanical vibration. Significant changes in bed hydrodynamics and various impacts on segregation and mixing characteristics were observed for vibrational oscillations corresponding to low values of acceleration compared to gravitational acceleration. Larger vibration accelerations result in significantly increased solids mixing compared to a non-vibrating gas-fluidized bed due to enhanced meso-scale particle agitation.
Original languageEnglish
Article number119437
Number of pages15
JournalPowder Technology
Volume435
DOIs
Publication statusPublished - 15 Feb 2024

Funding

This research received funding from the Dutch Research Council (NWO) in the framework of the ENW PPP Fund for the top sectors and from the Ministry of Economic Affairs, The Netherlands in the framework of the “PPS-toeslagregeling”.

FundersFunder number
Ministerie van Economische Zaken en Klimaat
Nederlandse Organisatie voor Wetenschappelijk Onderzoek

    Keywords

    • Vibro-fluidized bed drying
    • Particle image velocimetry
    • Infrared thermography
    • Particle temperature distribution
    • Solids volume fluxes
    • Segregation and mixing
    • Machine learning

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