Samenvatting
Computational Fluid Dynamics - Discrete Element Method (CFD-DEM) is a numerical tool used for detailed fluidized bed studies. However, CFD-DEM is computationally expensive, leading to a restriction regarding the number of simulated particles. Therefore, coarse-graining techniques have been developed to increase the simulation scale or reduce computational requirements for CFD-DEM simulations in fluidized beds. In this work, we critically compared the coarse-graining scaling laws of Mu et al. [2020, Chemical Engineering Science: X 6.] and Sakai and Koshizuka [2009, Chemical Engineering Science: 64, 533–539.] for their effectiveness in characterizing the original system. The first mentioned approach was not able to accurately characterize the original system, while the latter methodology showed good correspondence. We also demonstrated that applying a continuous two-way smoothing function to the coarse-graining process can yield grid-independent solutions, particularly when the particle diameter is much larger than the grid cell size, which is often the case in CFD-DEM simulations.
Originele taal-2 | Engels |
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Artikelnummer | 118441 |
Aantal pagina's | 12 |
Tijdschrift | Chemical Engineering Science |
Volume | 269 |
DOI's | |
Status | Gepubliceerd - 5 apr. 2023 |
Bibliografische nota
Funding Information: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 in the framework of the ”PPS-toeslagregeling”. The authors also would like to thank SURFsara and NWO domain Science for the use of the Snellius supercomputer facilities.
Funding Information:
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 in the framework of the ”PPS-toeslagregeling”.
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Matlab fig files for 'the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques'
de Munck, M. J. A. (Ontwerper), van Gelder, J. B. (Ontwerper), Peters, E. A. J. F. (Ontwerper) & Kuipers, J. A. M. (Ontwerper), 4TU.Centre for Research Data, 1 apr. 2023
DOI: 10.4121/21896790, https://data.4tu.nl/datasets/956bf477-cbe5-4c31-afc5-0d02cd01054e en nog één link, https://data.4tu.nl/datasets/956bf477-cbe5-4c31-afc5-0d02cd01054e/1 (minder tonen)
Dataset