Study of distributive mixing in a journal bearing flow geometry
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
We implicitly assess the distributive mixing of generalized Newtonian fluids with shear-thinning behavior in a journal bearing flow geometry. For this purpose, we firstly develop a finite element code to calculate the flow field parameters. Our numerical algorithm splits the viscous stress tensor into arbitrary Newtonian stress and a source term, which grows gradually during the iterative solution. Therefore, we get a better converging solution than the Picard method, especially for highly shear-thinning fluids. Secondly, considering two inert fluids in the mixing domain, we employ a Lagrangian-Eulerian approach to predict the shape of the interface between two fluids. The results of our numerical analysis provide us the required information to evaluate three implicit mixing criteria: the concentration variance, the striation thickness, and the mean strain function. Then we conduct a parametric study to investigate the effects of different parameters (geometry and rheology) on the distributive mixing state. In addition, we discuss which mixing criteria provide a better evaluation for distributive mixing.
Details
Original language | English |
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Pages (from-to) | 70-82 |
Number of pages | 13 |
Journal | International polymer processing |
Volume | 37 |
Issue number | 1 |
Publication status | Published - 28 Mar 2022 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0003-0967-4557/work/173054856 |
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Keywords
ASJC Scopus subject areas
Keywords
- distributive mixing, finite element method, laminar mixing