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January 1, 2025Materials research proceedings

An AI-based approach for flow front monitoring and prediction in liquid composite molding processes based on dielectric and visual data elaboration

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Authors

VEV. ESPERTO

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Overview

This analysis reveals a real-time monitoring strategy for flow front in liquid composite molding, suggesting enhanced defect prevention.

Key Points

  • The study demonstrates that integrating AI improves monitoring of resin flow front in liquid composite molding processes.
  • Real-time data collection from dielectric and visual sensors shows a significant enhancement in product quality during infusion.
  • A machine learning framework utilizing the YOLO algorithm tracks the resin flow, indicating its effectiveness for dynamic process adjustments.
  • This approach supports future developments in monitoring tools for understanding the complexities of resin impregnation in composites.

Cite This Study

V. ESPERTO (2025) studied this question.

synapsesocial.com/papers/68af4cdfad7bf08b1ead6811https://doi.org/10.21741/9781644903735-43
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