| Issue |
MATEC Web Conf.
Volume 421, 2026
1st International Conference on Monitoring and Control of Water Systems (MoCWS 2026)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 4 | |
| Section | Innovative Solutions | |
| DOI | https://doi.org/10.1051/matecconf/202642103002 | |
| Published online | 16 June 2026 | |
Automatic Voronoi-Based Meshing for CFD Analysis of Passive Flow Control in Diodic Pipes
1 Ing. Vincenzo Gallelli, Soverato (CZ), Italy
2 Department of Mechanical Engineering, University of West Attica, 12241 Egaleo-Athens, Greece
3 Department of Biomedical Engineering, University of West Attica, 12243 Egaleo-Athens, Greece
4 Department of Naval Architecture, University of West Attica, 12243 Egaleo-Athens, Greece
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Abstract
An automated meshing framework based on Voronoi tessellation is presented for the analysis of planar flow-control geometries relevant to fluid systems. The proposed approach eliminates manual boundary definition by directly converting rasterized representations of valve or channel layouts into un-structured computational meshes. The fluid domain is inferred from pixel-level information, enabling a fully automated image-to-mesh workflow adaptable to complex geometries. The methodology is applied to a representative diodic pipe configuration, a passive flow-control device capable of inducing direction-dependent pressure losses without moving components. Mesh generation is achieved through a raster Voronoi relaxation, resulting in geometry-adaptive discretization with enhanced resolution in constricted regions. The generated meshes are assessed through incompressible flow simulations, demonstrating good geometric conformity, numerical stability, and suitability for finite-volume discretization. The results indicate that the proposed meshing pipeline provides a robust and scalable tool for rapid preprocessing and analysis of passive flow-control systems in water treatment and hydraulic applications.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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