Numerical Simulation of Grid-Generated Turbulence Interaction with a NACA0012 Airfoil

Conference paper (2023)

Authors

L. Trascinelli Trascinelli University of Bristol
Luke Bowen Bowen University of Bristol
A. Piccolo Wind Energy - Aerospace Engineering
R. Zamponi Wind Energy - Aerospace Engineering
D. Ragni Wind Energy - Aerospace Engineering
F. Avallone Politecnico di Torino
Beckett Y. Zhou Zhou University of Bristol
Bin Zang Zang University of Bristol
Research Group
Wind Energy (Aerospace Engineering) (TU Delft)
Copyright: © 2023 L. Trascinelli, Luke Bowen, A. Piccolo, R. Zamponi, D. Ragni, F. Avallone, Beckett Y. Zhou, Bin Zang
DOI: https://doi.org/10.2514/6.2023-3633
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Published Date

2023

Language

English

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Faculty

Aerospace Engineering

Department

Flow Physics and Technology

Research Group

Wind Energy

Abstract

The present study assesses the ability to numerically predict
turbulence-interaction noise of a NACA0012 airfoil with grid-generated
turbulence by utilizing the Lattice Boltzmann solver PowerFLOW. Both the
near-field flow characteristics and far field noise are bench-marked
against an existing experimental study. The grid was chosen to match
that from the experiment to provide evidence that the present numerical
approach in physically placing a grid upstream of the airfoil can
reproduce the turbulence characteristics observed from the benchmark
experiment and thus accurately capture the turbulence-interaction noise
generated. The comparison of the results show that the turbulence
statistics, including turbulence intensity, integral length scales and
anisotropy are highly consistent with the experiment. Moreover, far
field acoustics of the turbulence interaction as well as the near-field
flow properties near the leading-edge and the unsteady wall pressure
fluctuations of the airfoil are also analyzed and the results agreed
well with the experimental measurements. The present study confirms that
the grid-generated approach is suitable for numerical investigation of
turbulence-interaction noise and its potential mitigation strategies.

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