Print Email Facebook Twitter Stochastic DSMC method for dense bubbly flows Title Stochastic DSMC method for dense bubbly flows: Methodology Author Kamath, S. (Eindhoven University of Technology) Padding, J.T. (TU Delft Intensified Reaction and Separation Systems) Buist, K. A. (Eindhoven University of Technology) Kuipers, J.R. (Eindhoven University of Technology) Date 2018 Abstract A stochastic Direct Simulation Monte Carlo (DSMC) method has been extended for handling bubble-bubble and bubble-wall collisions. Bubbly flows are generally characterized by highly correlated velocities due to presence of the surrounding liquid. The DSMC method has been improved to account for these kind of correlated collisions along with a treatment allowing the method to be used also at relatively high volume fractions. The method is first verified with the deterministic Discrete Particle/Bubble Model (DPM/DBM) using two problem cases: (a) dry granular flow of particles through two impinging nozzles and (b) 3D periodic bubble rise for mono-disperse and poly-disperse systems. The verification parameters are the total number of prevailing collisions within the system, the collision frequencies and the time-averaged liquid velocity profiles (only for the 3D-periodic bubble rise). Subsequently the method is applied to a lab-scale bubble column and validated with the experimental data of Deen et al. (2001). A computational performance comparison with the DBM is reported for the 3D periodic bubble rise case with varying overall gas fractions. The DSMC is approximately two orders of magnitude faster than the deterministic approach for the studied dense bubbly flow cases without adverse effects on the quality of the computational results. Subject Bubbly flowComputational performanceDirect Simulation Monte CarloDiscrete Bubble ModelExperimental validation To reference this document use: http://resolver.tudelft.nl/uuid:522058e8-eaf2-4e81-b9f6-2780498b6847 DOI https://doi.org/10.1016/j.ces.2017.11.002 ISSN 0009-2509 Source Chemical Engineering Science, 176, 454-475 Part of collection Institutional Repository Document type journal article Rights © 2018 S. Kamath, J.T. Padding, K. A. Buist, J.R. Kuipers Files PDF 1_s2.0_S0009250917306826_main.pdf 10.35 MB Close viewer /islandora/object/uuid:522058e8-eaf2-4e81-b9f6-2780498b6847/datastream/OBJ/view