10.18710/ARTNTBBalakin, BorisBorisBalakin0000-0003-0560-6098Western Norway University of Applied SciencesSaparbayeva, NazerkeNazerkeSaparbayevaWestern Norway University of Applied SciencesDataverseNO2024ChemistryComputer and Information ScienceEngineeringPhysicsCFD-DEMpluggingcloggingmultiphasemachine learningrandom forestBalakin, BorisBorisBalakinWestern Norway University of Applied SciencesWestern Norway University of Applied SciencesWestern Norway University of Applied Sciences2024-04-242024-05-032023-05-01/2024-03-01simulation data10.1038/s41598-023-44202-710.3390/computation12040067622312546303071321935374922311123text/plaintext/plaintext/plaintext/plaintext/x-pythontext/plainapplication/pdf1.0CC0 1.0<p>This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are presented in the dataset together with the overall description of the model.</p> <p>The second model is the random forest-based machine learning (ML) routine trained using experiments and CFD-DEM simulations. The source of the ML model is provided together with the training dataset.</p>STAR-CCM+, 2210 r.17.06.007Python, 3.10.12The simulations reproduce experiments on plugging of ice-in-decane slurry conducted in the multiphase flow loop of Høgskulen på Vestlandet (FLOWCHART project)Research Council of Norway300286