In 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.

翻译：本文研究复合材料制造中的真空泄漏检测问题。我们的方法采用离散几何中著名的Voronoi图结构。通过构建真空连接位置的Voronoi图，对构件表面进行划分。利用这种划分，可将潜在泄漏点定位至较小区域，从而实现高效的人工排查。为进一步缩小搜索区域，我们提出了改进型Voronoi图。基于包含数百个单泄漏点和双泄漏点位置及其对应流量值的新型数据集，我们对两种变体进行了评估。实验结果表明，基于Voronoi图的预测模型具有高准确性，有望解决复合材料制造中的泄漏检测瓶颈问题。