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  "path": "/abs/2603.29980v1",
  "publishedAt": "2026-04-01T00:00:00.000Z",
  "site": "https://arxiv.org",
  "tags": [
    "Christoph Brauer",
    "Arne Hindersmann",
    "Timo de Wolff"
  ],
  "textContent": "**Authors:** Christoph Brauer, Arne Hindersmann, Timo de Wolff\n\nIn this article, we investigate vacuum leakage detection problems in composite manufacturing. Our approach uses Voronoi diagrams, a well-known structure in discrete geometry. The Voronoi diagram of the vacuum connection positions partitions the component surface. We use this partition to narrow down potential leak locations to a small area, making an efficient manual search feasible. To further reduce the search area, we propose refined Voronoi diagrams. We evaluate both variants using a novel dataset consisting of several hundred one- and two-leak positions along with their corresponding flow values. Our experimental results demonstrate that Voronoi-based predictive models are highly accurate and have the potential to resolve the leakage detection bottleneck in composite manufacturing.",
  "title": "Voronoi-Based Vacuum Leakage Detection in Composite Manufacturing"
}