About this Research Topic
Multiphase flows are ubiquitous in Chemical Engineering and many challenges remain unsolved. Computational cost is one of the main current challenges as demand increases with the complexity of the numerical simulations. This complexity is often related to the necessity of linking the microscale behavior to the meso and macro scales. New methodologies and codes keep emerging to deal with different particle shapes, cohesion, reactions, and complex motion. Coupling with Neural Networks and Optimization algorithms enables improvement of processes making them more efficient. The application and combination of these techniques is enabling numerous important advances in the chemical engineering field.
This collection aims at highlighting recent advances in modeling multiphase flows, fluid flow and powder flow in Chemical Engineering focusing on Computational Fluid Dynamics, Discrete Element Method and related numerical techniques and algorithms.
We welcome the submission of Original Research, Review, Mini Review, and Perspective articles on themes including, but not limited to:
• Contact models in DEM
• Modelling methodologies
• Coupling with other numerical methods
• Calibration in DEM
• Validation cases
• Novel case studies in Chemical Engineering
• Coupling with AI tools
• Design and optimization in chemical engineering aided by CFD and DEM
Keywords: CFD, DEM, Numerical, Modeling, Coupling, Simulation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.