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Model for Predicting Solids Velocity Fluctuations in Sedimenting Suspensions
Author(s) -
Shehryar Ali,
Hassan Aitazaz,
Hamid Adnan,
Murilo dos Santos Celso,
Khan Afrasyab,
Ullah Atta
Publication year - 2019
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201900147
Subject(s) - computational fluid dynamics , solver , eulerian path , mechanics , fluent , matlab , particle (ecology) , particle velocity , physics , statistical physics , materials science , mathematics , computer science , geology , mathematical optimization , oceanography , lagrangian , mathematical physics , operating system
Computational fluid dynamics (CFD) simulations of sedimenting suspensions in two‐dimensional periodic domains using a Eulerian two‐fluid model were performed with the commercial software ANSYS Fluent®. Three particle systems belonging to Geldart groups A and B were selected to gather data on the solids velocity fluctuations. It is proposed that solids velocity fluctuations are composed of local and global parts. Therefore, the solids velocity signal was segregated into low‐frequency and high‐frequency fluctuations using the FFT solver in MATLAB®. A model is proposed to predict the velocity fluctuations of a solid phase at low volume fractions and the model results are compared with the CFD results. The model is capable of capturing the solid particles fluctuation in the dilute limit.