Voronoi-Based Vacuum Leakage Detection in Composite Manufacturing

TL;DR

This paper presents a Voronoi diagram-based method for efficiently detecting vacuum leaks in composite manufacturing, significantly improving search accuracy and reducing detection time.

Contribution

The authors introduce a novel Voronoi diagram approach and refined variants for leak localization, enhancing detection efficiency in composite manufacturing.

Findings

Voronoi-based models achieve high accuracy in leak detection.

Refined Voronoi diagrams further reduce search areas.

Experimental results demonstrate effectiveness on a new dataset.

Abstract

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.