https://doi.org/10.1140/epjs/s11734-025-01733-6
Regular Article
Synthetic generation of additive manufacturing roughness surfaces for computational fluid dynamics using single image data
1
Department of Materials Science and Engineering, TU Delft, Delft, The Netherlands
2
Department of Aerospace Engineering, San Diego State University, San Diego, USA
Received:
22
March
2025
Accepted:
4
June
2025
Published online:
13
June
2025
We present a data-driven method for the synthetic generation of wall roughness of additively manufactured (AM) surfaces. The method adapts Rogallo’s synthetic turbulence method (Rogallo in Numerical experiments in homogeneous turbulence, Nasa Technical Memorandum 81315, National Aeronautics and Space Administration, 1981) to generate correlated Fourier modes from data extracted from an electron microscope image. The fields are smooth and compatible with grid generators in computational fluid dynamics or other numerical simulations. Unlike machine learning methods that require more than 20 scans of surface roughness for training, this new method can generate an infinite amount of synthetic roughness fields to any desired spatial domain size, using a single input image. Five types of synthetic roughness fields are tested, based on an input roughness image from literature. A comparison of their spectral energy and two-point correlations shows that a synthetic vector component that aligns with the AM laser path closely approximates the roughness structures of the scan. The synthetic roughness is used in a discontinuous Galerkin laminar boundary-layer simulation, demonstrating the new approach’s ease of integration into CFD applications.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
