Digital twin for the manufacture of composite structures by resin infusion. This project will create an advanced digital twin framework for composite manufacturing using resin infusion, combining high

Description

Digital twin for the manufacture of composite structures by resin infusion. This project will create an advanced digital twin framework for composite manufacturing using resin infusion, combining high-fidelity models with deep learning for real-time defect prediction and adaptive control. It will deepen understanding of resin flow dynamics, merge physics-based and machine learning models, and provide a validated system to improve reliability. Key outcomes include greater production efficiency and waste reduction for sectors like aerospace and renewable energy. The project will strengthen Australia’s manufacturing leadership, enhance sustainability, and support the further development and adoption of lightweight, high-performance composite structures which are crucial for meeting Australia's commitment to net zero.. Scheme: Discovery Projects. Field: 4016 - Materials Engineering. Lead: Prof Brian Falzon