Reference : Identifying dominant spatial and time characteristics of flow dynamics within free-su...
Scientific journals : Article
Engineering, computing & technology : Chemical engineering
http://hdl.handle.net/2268/227618
Identifying dominant spatial and time characteristics of flow dynamics within free-surface baffled stirred-tanks from CFD simulations
English
de Lamotte, Anne mailto [Université de Liège - ULiège > > > Form.doct. sc. ingé. (chim. appl. - Bologne)]
Delafosse, Angélique mailto [Université de Liège - ULiège > Department of Chemical Engineering > Génie de la réaction et des réacteurs chimiques >]
Calvo, Sébastien mailto [Université de Liège - ULiège > Department of Chemical Engineering > Génie de la réaction et des réacteurs chimiques >]
Toye, Dominique mailto [Université de Liège - ULiège > Department of Chemical Engineering > Génie de la réaction et des réacteurs chimiques >]
2018
Chemical Engineering Science
Elsevier
192
128-142
Yes (verified by ORBi)
International
0009-2509
United Kingdom
[en] Stirred-tank ; Hydrodynamics ; CFD ; PIV ; POD ; MD
[en] In many chemical and biochemical processes, it is fundamental to accurately predict flow dynamics within reactors of different sizes and its influence on reactions and their kinetics. Computational Fluid Dynamics can provide detailed modeling about hydrodynamics. The objective of the present work is to assess the abilities of CFD to simulate free-surface turbulent flow within baffled stirred-tanks reactors. Transient simulations are carried out using a homogeneous Euler-Euler multiphase approach, the Volume-of-Fluid (VOF) method, with a Realizable k-e turbulence model. Two methods are considered to account for the impeller motion, namely the Multiple Reference Frame (MRF) and Sliding Mesh (SM) approaches. Global and local results obtained by CFD are presented by means of statistical analysis, including the estimation of characteristic turbulent length scales. Instantaneous numerical data fields obtained with the SM model are then interpreted using modal decompositions methods, i.e. the Proper Orthogonal Decomposition (POD) and the Dynamic Mode Decomposition (DMD) in order to extract their dominant spatial structures with their time behavior. All simulations are discussed based on comparison with experimental data.
Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS
http://hdl.handle.net/2268/227618
10.1016/j.ces.2018.07.024

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