Fluid Dynamics Conference 1996
DOI: 10.2514/6.1996-1970
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On artificial dissipation models for viscous airfoil computations

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Cited by 3 publications
(3 citation statements)
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“…It should be noted that the large errors resulting from the scalar arti cial dissipation model without preconditioning can also be reduced using matrix dissipation or cell Reynolds number scaling. 13 For the second case, with = 6 o and transition at 5% and 80% chord on the upper and lower surfaces, respectively, a grid-independent drag coe cient of 0.00779 was determined. 12 Using the grid with the smaller o -wall spacing, a drag coe cient of 0.01018 is computed by the unpreconditioned algorithm, an error of 24 counts or 31%.…”
Section: Resultsmentioning
confidence: 99%
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“…It should be noted that the large errors resulting from the scalar arti cial dissipation model without preconditioning can also be reduced using matrix dissipation or cell Reynolds number scaling. 13 For the second case, with = 6 o and transition at 5% and 80% chord on the upper and lower surfaces, respectively, a grid-independent drag coe cient of 0.00779 was determined. 12 Using the grid with the smaller o -wall spacing, a drag coe cient of 0.01018 is computed by the unpreconditioned algorithm, an error of 24 counts or 31%.…”
Section: Resultsmentioning
confidence: 99%
“…Note that the di culties associated with the scalar model, discussed for example in Ref 13,. are greatly reduced due to the improved conditioning of the preconditioned ux Jacobian matrices.The second-and fourth-di erence arti cial dissipation terms on the right-hand-side of eq.…”
mentioning
confidence: 99%
“…Second-and fourth-difference scalar artificial dissipation are used to maintain stability. The algorithm has been well validated for steady [21][22][23][24] and unsteady 4, 7 flows and has been the subject of several grid convergence studies. 25,26…”
Section: Spatial Discretizationmentioning
confidence: 99%