Matlab fig files for 'the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques'
DOI:10.4121/21896790.v1
        
    
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DOI: 10.4121/21896790
    DOI: 10.4121/21896790
Datacite citation style
Munck, de, Martijn; van Gelder, Juliette; Peters, Frank; Kuipers, Hans (2023): Matlab fig files for 'the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21896790.v1
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
This is a set of Matlab .fig files corresponding to the figures in the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques' published in Chemical Engineering Science.
In this study, 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 a fluidized bed.
History
- 2023-04-21 first online, published, posted
Publisher
4TU.ResearchDataFormat
Matlab FIG-filesAssociated peer-reviewed publication
A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniquesFunding
- NWO Grant 741.079.202
- ENW-PPS
Organizations
TU Eindhoven, Department of Chemical Engineering and Chemistry, Multiphase Reactors GroupDATA
Files (15)
- 987 bytesMD5:6e7bd1d04551e548b47d434bdf88f0d4README.txt
- 39,842 bytesMD5:490c1885da9658138a0848a385613b55Figure10_A.fig
- 39,867 bytesMD5:bb53e26a373336b1597b16dc495facb7Figure10_B.fig
- 62,324 bytesMD5:647d26e012615b36e08d01cb550a82d4Figure11.fig
- 46,212 bytesMD5:5fa27f5c5ad97b4ff8d1fe38c199a4c6Figure12.fig
- 42,939 bytesMD5:4a78c9360f299fee3cb1a092799c23a6Figure13.fig
- 34,099 bytesMD5:50f5a003579f574a0e4eb821e173a9bfFigure5_A.fig
- 34,813 bytesMD5:21f2f3f0bdfc1b1377629dce2d57d14eFigure5_B.fig
- 50,445 bytesMD5:0764a0d734875dd25786528c2f2098cfFigure6_A.fig
- 49,808 bytesMD5:aeac9b64f56d877e9033fa7bc660cbe5Figure6_B.fig
- 41,224 bytesMD5:d7d22beea2d60160a7c9f029d50acfe8Figure7_A.fig
- 41,389 bytesMD5:a4b55c73c67591eb3403b5ad0bdd638fFigure7_B.fig
- 41,559 bytesMD5:da76dffbda6f696881eff47aa53c8844Figure8_A.fig
- 42,412 bytesMD5:518ea60ac8e9ab5ef5b75c14f88c9bb9Figure8_B.fig
- 33,849 bytesMD5:dbffb8511eafa301da022260dcfea402Figure9.fig
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