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ISSN Online: 2379-1748

9th Thermal and Fluids Engineering Conference (TFEC)
April, 21-24, 2024, Corvallis, OR, USA

METHODOLOGICAL APPROACHES TO IMPROVE THE APPLICABILITY OF NEAR-WALL TURBULENT FLOW CONTROL METHODS FOR HIGH-SPEED VEHICLES

Get access (open in a dialog) pages 237-240
DOI: 10.1615/TFEC2024.aer.051694

Resumo

The most effective and feasible methods for turbulent wall flows control over high-speed vehicles are considered, such as: micro-profiling (riblets), blowing, suction and macro-profiling (dimples) of the streamlined surface. Particular attention is paid to such configurations as the wing section (airfoil) and the body of revolution (fuselage). Based on CFD and experimental approaches, various geometric and regime configurations of these methods, applied both separately and in various appropriate combinations, were studied, and the most effective solutions were proposed, for example, blowing through the confuser rear part of the curved dimple surface. A semi-empirical model for taking into account the influence of regular (riblets) and chaotic (natural roughness) surface microrelief on the near-wall velocity distribution is proposed. For an integral assessment of the effectiveness of the applied methods of near-wall flows control, which is quite problematic due to the structured relief of the streamlined surface, experimental PIV measurements of the velocity distribution in the wake were used and a modification of the Jones formula for taking into account the factor of mass transfer through the streamlined surface was proposed. Numerical modeling has assessed the effectiveness of a number of potentially attractive schemes for reducing secondary air consumption in the form of multi-sectional blowing through arrays of longitudinal or transverse permeable strips, including various combinations of uneven distribution of blowing intensity in comparison with uniformly distributed blowing over the entire area of the streamlined surface. The results obtained allow to improve the near-wall turbulence control efficiency under expected operating conditions.