This paper presents a direct numerical simulation dataset comprising four transcritical nitrogen jets characterized by the same Reynolds number and different pressures, ranging from near critical up to largely supercritical. Simulations are carried out using a well-established high-order numerical method in conjunction with high-fidelity real fluid equation of state and transport properties. Although being characterized by the same Reynolds number, jets under transcritical conditions at different pressures behave in a significantly different way at both large- and small-scale. At near-critical pressure conditions, jets are more influenced by the solid wall effect caused by the steep stratification induced by the pseudo-boiling region. Globally, such gradients delay the complete mixing of the jet, whereas locally they promote baroclinic vorticity generation.

Direct numerical simulation of transcritical jets at moderate Reynolds number / Lapenna, P. E.; Creta, F.. - In: AIAA JOURNAL. - ISSN 0001-1452. - 57:6(2019), pp. 2254-2263. [10.2514/1.J058360]

Direct numerical simulation of transcritical jets at moderate Reynolds number

Lapenna P. E.
Primo
;
Creta F.
Ultimo
2019

Abstract

This paper presents a direct numerical simulation dataset comprising four transcritical nitrogen jets characterized by the same Reynolds number and different pressures, ranging from near critical up to largely supercritical. Simulations are carried out using a well-established high-order numerical method in conjunction with high-fidelity real fluid equation of state and transport properties. Although being characterized by the same Reynolds number, jets under transcritical conditions at different pressures behave in a significantly different way at both large- and small-scale. At near-critical pressure conditions, jets are more influenced by the solid wall effect caused by the steep stratification induced by the pseudo-boiling region. Globally, such gradients delay the complete mixing of the jet, whereas locally they promote baroclinic vorticity generation.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11573/1292278
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