1996
DOI: 10.1002/(sici)1097-0363(19960315)22:5<353::aid-fld327>3.3.co;2-q
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A Comparison of Coupled and Segregated Iterative Solution Technique for Incompressible Swirling Flow

Abstract: SUMMARYIn many popular solution algorithms for the incompressible Navier-Stokes equations the coupling between the momentum equations is neglected when the linearized momentum equations are solved to update the velocities. This is known to lead to poor convergence in highly swirling flows when coupling between the radial and tangential momentum equations is strong. Here we propose a coupled solution algorithm in which the linearized momentum and continuity equations are solved simultaneously.

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Cited by 8 publications
(10 citation statements)
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“…Because the cost per iteration is higher for the coupled solver, it is more meaningful to compare the CPU time consumed by both solvers. Results in Table 3 indicate that as the grid size increases from 10 4 to 3 Â 10 5 quadrilateral (triangular) control volumes, the corresponding ratio of the CPU time needed by the segregated solver to the CPU time required by the coupled algorithm increases from 13 to 115 (13-104), 18 to 71 (8-58), 4 to 31 (3-33), 8 to 56 (6-54), 8 to 22 (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25), and 5 to 38 for the above problems. This represents a tremendous savings as the total time required by the coupled approach to solve all problems on the coarsest and densest quadrilateral (triangular) grids used are 209.6 and 11660.1 (339.7 and 12849.3) seconds while the times required by the segregated method are 1844.89 and 525911.74 (2113.11 and 564206) seconds with the average S/C ratio varying from 8.8 to 45.1 (6.22-43.9).…”
Section: Comparison Of Performance Of the Coupled Solver With The Segmentioning
confidence: 93%
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“…Because the cost per iteration is higher for the coupled solver, it is more meaningful to compare the CPU time consumed by both solvers. Results in Table 3 indicate that as the grid size increases from 10 4 to 3 Â 10 5 quadrilateral (triangular) control volumes, the corresponding ratio of the CPU time needed by the segregated solver to the CPU time required by the coupled algorithm increases from 13 to 115 (13-104), 18 to 71 (8-58), 4 to 31 (3-33), 8 to 56 (6-54), 8 to 22 (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25), and 5 to 38 for the above problems. This represents a tremendous savings as the total time required by the coupled approach to solve all problems on the coarsest and densest quadrilateral (triangular) grids used are 209.6 and 11660.1 (339.7 and 12849.3) seconds while the times required by the segregated method are 1844.89 and 525911.74 (2113.11 and 564206) seconds with the average S/C ratio varying from 8.8 to 45.1 (6.22-43.9).…”
Section: Comparison Of Performance Of the Coupled Solver With The Segmentioning
confidence: 93%
“…This renewed interest in the development of coupled solvers [4,5] is due to the tremendous increase in computer memory and to the convergence problem experienced by segregated solvers when used with dense computational meshes [6]. Even though the convergence issue has been addressed successfully through multigrid, parallel processing, and domain decomposition the convergence issue has not been directly resolved.…”
Section: Introductionmentioning
confidence: 99%
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“…The stationary problem was solved iteratively by two methods in finite volume formulation [32]. The first one is the Coupled scheme [33], which solves the pressure-based momentum and continuity equations together. The second is the SIMPLEC scheme [34], where the momentum equation is segregated from continuity equation, from which the Poisson equation for pressure is derived and solved to obtain the velocity correction.…”
Section: Numerical Implementationmentioning
confidence: 99%
“…A detailed study of the convergence of the time discretization is conducted, which serves both as verification of the implementation and as direct comparison of the different variants in a low-inertia flow. A similar study involving monolithic and segregated methods for incompressible fluid flows was presented by Elman [30], though in that paper the goal was to investigate the performance of preconditioning strategies (see also [31]). …”
Section: Introductionmentioning
confidence: 99%