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Published April 24, 2023 | Version 1.0.0
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Dataset of "Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer"

  • 1. Theoretical and Computational Aerodynamics Branch, Flight Physics Department, Spanish National Institute for Aerospace Technology (INTA), Torrejón de Ardoz, Spain
  • 2. Department of Aerospace Engineering, Universidad Carlos III de Madrid, Leganés, Spain

Description

Dataset of the article "Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer" (https://doi.org/10.1016/j.applthermaleng.2023.120621). The dataset contains:

- the velocity fields, measured with Particle Image Velocimetry, for the case of the boundary layer without actuation, with actuation with a steady jet, and for the best individual obtained after the optimization of the pulsed jet parameters.

- the parameters of the individuals generated in the optimization process.

Files

readme.txt

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Additional details

Related works

Cites
Journal article: 10.1016/j.applthermaleng.2023.120621 (DOI)

Funding

NEXTFLOW – Next-generation flow diagnostics for control 949085
European Commission