1992
DOI: 10.2514/3.23590
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Directions in turbulence modeling for in-cylinder flows in reciprocating engines

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Cited by 39 publications
(12 citation statements)
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“…Unsteady threedimensional RANS has been the approach of choice for incylinder flows for many years. Moreover, it has been argued (El Tahry and Haworth, 1992;Haworth and Jansen, 1998) that the computational meshes typically used for RANS modeling of practical in-cylinder configurations (currently 10 5 to 10 6 computational elements with second-order spatial discretization) already are sufficient to capture 80-90% of the flowÕs kinetic energy.…”
Section: Les and Enginesmentioning
confidence: 99%
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“…Unsteady threedimensional RANS has been the approach of choice for incylinder flows for many years. Moreover, it has been argued (El Tahry and Haworth, 1992;Haworth and Jansen, 1998) that the computational meshes typically used for RANS modeling of practical in-cylinder configurations (currently 10 5 to 10 6 computational elements with second-order spatial discretization) already are sufficient to capture 80-90% of the flowÕs kinetic energy.…”
Section: Les and Enginesmentioning
confidence: 99%
“…This configuration has been the subject of exhaustive numerical studies using a variety of RANS models and numerical methods (El Tahry, 1985;El Tahry and Haworth, 1992).…”
Section: A Reciprocating Piston-cylinder Assembly With Fixed Central mentioning
confidence: 99%
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“…Generally speaking it is poorest during the induction stroke, especially with regard to the turbulence intensity, which is usually substantially underpredicted [21,22]. Better and often satisfactory agreement is however obtained later in the engine cycle (e.g.…”
Section: Turbulence Modelingmentioning
confidence: 99%
“…Other turbulence representations have been explored, including complex Reynolds stress transport models [20,21], but lack of widespread use suggests that the benefits, if any, are marginal. Given that a similar picture exists in other areas of CFD application, this is scarcely surprising.…”
Section: Turbulence Modelingmentioning
confidence: 99%