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| Content Provider | Springer Nature Link |
|---|---|
| Author | Neofytou, P. Housiadas, C. Tsangaris, S. G. Stubos, A. K. Fotiadis, D. I. |
| Copyright Year | 2013 |
| Abstract | The aim of the present study is the numerical investigation of the shear-thinning and shear-thickening effects of flow in a T-junction of rectangular ducts. The employed CFD code incorporates the SIMPLE scheme in conjunction with the finite volume method with collocated arrangement of variables. The code enables multi-block computations in domains with multiple apertures, thus coping with the two-block, two-outlet layout of the current 3D computational domain. The shear-thinning and shear-thickening behaviours of the flow are covered by changing the index n of the Power-Law model within a range from 0.20 to 1.25, and the subsequent effects are investigated by means of different flow parameters namely the Reynolds (Re) number and the boundary conditions at the outlets. Results exhibit the extent of the effect of the Re number on the velocity profiles at different positions in the domain for both Newtonian and non-Newtonian cases. Similarly, the trend of the effect of shear-thinning and shear-thickening behaviours on the flow rate ratio between inlet and outlets, in the case of equal pressure imposed on outlets, is shown. |
| Starting Page | 233 |
| Ending Page | 256 |
| Page Count | 24 |
| File Format | |
| ISSN | 09354964 |
| Journal | Theoretical and Computational Fluid Dynamics |
| Volume Number | 28 |
| Issue Number | 2 |
| e-ISSN | 14322250 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-08-30 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Power-Law model Computational fluid dynamics Rectangular duct Non-Newtonian fluid Branching flow Engineering Fluid Dynamics Classical Continuum Physics Computational Science and Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Fluid Flow and Transfer Processes Condensed Matter Physics Computational Mechanics |
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