Voronoi-Based Vacuum Leakage Detection in Composite Manufacturing
This addresses the leakage detection bottleneck in composite manufacturing, though it appears incremental as it applies an existing geometric method to a specific domain problem.
The paper tackles vacuum leakage detection in composite manufacturing by using Voronoi diagrams to partition component surfaces and narrow down leak locations, achieving high accuracy in experiments on a novel dataset with hundreds of leak positions.
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.