CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particleshttps://doi.org/10.18710/ARTNTBBalakin, BorisSaparbayeva, NazerkeDataverseNO2024-05-032024-05-03T07:29:49Z<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>ChemistryComputer and Information ScienceEngineeringPhysicsCFD-DEMpluggingcloggingmultiphasemachine learningrandom forestEnglishSaparbayeva, Nazerke, and Boris V. Balakin. "CFD-DEM model of plugging in flow with cohesive particles." Scientific Reports 13.1 (2023): 17188., doi, 10.1038/s41598-023-44202-7, https://doi.org/10.1038/s41598-023-44202-7Saparbayeva, Nazerke, et al. "Application of Machine Learning to Predict Blockage in Multiphase Flow." Computation 12.4 (2024): 67., doi, 10.3390/computation12040067, https://doi.org/10.3390/computation120400672024-05-03Balakin, Boris2024-04-242023-05-012024-03-01simulation dataexperimental dataCC0 1.0