journal article·2026-02-01Open access

Numerical study on leading-edge receptivity of acoustic waves in subsonic flow utilizing compressible linearized Navier–Stokes method

M. Kim, I. Sohn

AIP Advances· Volume 16· Issue 2

Abstract

The investigation of leading-edge receptivity to freestream acoustic waves in subsonic flow employs compressible linearized Navier–Stokes (CLNS) equations. These are solved in harmonic form without supplementary assumptions, enabling analysis of receptivity and spatial development of linear stable and unstable perturbations at moderate computational costs. This study first addresses the feasibility and benefits of the CLNS method for a canonical problem, followed by a review of Tollmien–Schlichting wave extraction methods from multimodal solutions. The CLNS results were validated, showing excellent agreement with linear stability theory. Furthermore, various freestream acoustic wave formulations were evaluated. A theoretically rigorous model based on the Euler equations was established for comparison with three simplified models, including the infinite-wavelength assumption commonly adopted in subsonic receptivity studies. An assessment of the acoustic models revealed that the simplified formulations generated contaminated disturbance fields. Notably, even when an infinite-wavelength disturbance is imposed, a finite-wavelength disturbance field develops within the domain, implying that the requirement for phase relations is disregarded under the infinite acoustic wavelength assumption. This study demonstrates that accurate receptivity prediction requires a physically complete acoustic wave model based on Euler relations, even at low Mach numbers where infinite acoustic wavelength assumptions are often made.
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Research context

OpenAlex topics: Aerodynamics and Acoustics in Jet Flows · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Advanced Scientific Computing, Korea Institute of Science and Technology Information , Daejeon 34141,

Funding

Korea Institute of Science and Technology Information · National Supercomputing Center, Korea Institute of Science and Technology Information

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