A5025583522- Granular flow and fluidized beds
- Particle Dynamics in Fluid Flows
- Cyclone Separators and Fluid Dynamics
- Lattice Boltzmann Simulation Studies
- Mineral Processing and Grinding
- Fluid Dynamics Simulations and Interactions
- Fluid Dynamics and Heat Transfer
- Heat and Mass Transfer in Porous Media
- Landslides and related hazards
- Aerosol Filtration and Electrostatic Precipitation
- Fluid Dynamics and Mixing
- Geotechnical Engineering and Soil Mechanics
- Rheology and Fluid Dynamics Studies
- Computational Fluid Dynamics and Aerodynamics
- Polysaccharides Composition and Applications
- Geotechnical and Geomechanical Engineering
- Heat Transfer and Optimization
- Carbon Dioxide Capture Technologies
- Advanced Chemical Sensor Technologies
- Advanced Numerical Methods in Computational Mathematics
- Advanced Fiber Optic Sensors
- Probabilistic and Robust Engineering Design
- CO2 Reduction Techniques and Catalysts
- Spectroscopy and Chemometric Analyses
- Advanced Multi-Objective Optimization Algorithms
Polytechnique Montréal
2020-2023
Amgen (United States)
2023
University of Tehran
2016-2021
CFD-DEM is used to simulate solid–fluid systems. DEM models the motion of discrete particles while CFD dynamics fluid phase. Coupling both necessitates calculation void fraction and forces resulting in a computationally expensive method. Additionally, evaluating volume-averaged quantities locally restricts particle cell size ratios limiting accuracy CFD. To mitigate these limitations, we develop unified finite element solver which integrates solvers into single software faster cheaper...
Abstract Hydrodynamics of spouted fluidized beds spherical and elongated sphero‐cylindrical particles with an aspect ratio (AR) 4 were studied by the CFD‐DEM technique. The multi‐sphere method was adopted to present particles. Simulations validated experimental data for both particle types. Bubble equivalent diameter, bubble shape factor, leakage fraction obtained in simulations. Time‐averaged velocity porosity profiles, solids circulation rate, exchange distribution at spout‐annulus...
High-order Computational Fluid Dynamics (CFD) methods have the potential to deliver higher accuracy at lower computational cost than conventional second-order methods. In this work, we introduce Lethe, an object-oriented, open-source, high-order (space and time) CFD software which leverages well-established deal.II library. Lethe solves incompressible flow problems on 2D 3D unstructured quad hex meshes allows dynamic mesh adaptation. It is parallel it adapted solution of large (>108 degrees...
Abstract The volume‐averaged Navier‐Stokes equations are used to study fluid flow in the presence of fixed or moving solids such as packed fluidized beds. We develop a high‐order finite element solver using both forms A and B these equations. introduce tailored stabilization techniques prevent oscillations regions sharp gradients, relax Ladyzhenskaya–Babuska–Brezzi inf‐sup condition, enhance local mass conservation robustness formulation. calculate void fraction particle centroid method....
Abstract Drag force models are one of the most important factors that can affect TFM and CFD-DEM simulation results two-phase systems. This article investigates accuracies, implementation issues limitations majority drag for spherical, non-spherical systems with size distribution evaluates their performance in various simulations. Around 1888 data points were collected from 19 different sources to evaluate closures on mono-dispersed spherical particles. The Reynolds number fluid volume...
In this research, the volume of fluid (VOF) method is used to study hydrodynamics rotating packed beds (RPBs). The model validated, and grid independence analyses are performed for cases with different operating conditions. droplet size distribution investigated characterize RPBs. Droplet distributions compared in two-dimensional three-dimensional simulations, it demonstrated that simulations can provide an accurate prediction while significantly reducing significant computational cost....
Abstract Bayesian network (BN) and probabilistic principal component analysis (PPCA) are powerful tools in artificial intelligence. In this study, two intelligent soft sensors, designed based on BN PPCA, were proposed for fault detection data prediction chemical processes. A gas sweetening process was considered as a case study which the existing H 2 S concentration sweet stream incomplete. order to detect faults during operation, sensor using PPCA predicting stream. Then, another developed...
Abstract In this research, granular mixing in vertical ribbon mixers was studied by means of discrete element method (DEM) simulations. Time‐averaged velocity distributions, mixing, mean square displacement tracer particles, diffusion coefficients, and Peclet number axial azimuthal directions were used to find the flow pattern particles dominant mechanisms. Strong motion observed, it found that decreasing height mixer, becomes stronger. The effects rotating speed, fill level, filling on...
In this research, we investigate the influence of a load-balancing strategy and parametrization on speed-up discrete element method simulations using Lethe-DEM. Lethe-DEM is an open-source DEM code which uses cell-based strategy. We compare computational performance different cell-weighing strategies based number particles per cell (linear quadratic). observe two minimums for particle to weights (at 3, 40 quadratic, 15, 50 linear) in both linear quadratic strategies. The first second are...