GE Vernova Advanced Research and the University of Delaware are collaborating on an AI-driven framework designed to improve the manufacturing of fiber-reinforced polymer (FRP) composites. The project will combine sensors, real-time process monitoring, material characterization data, machine learning, and simulations to improve the efficiency and reliability of large-scale composite structures.
Called the AI-Driven Closed Loop Digital Twin for Real-Time Monitoring and Autonomous Adaptive Control of Resin Flow and Cure in Composite Manufacturing, the project will use digital twin technology to create a predictive manufacturing environment. The framework is intended to monitor resin flow and curing processes and adapt manufacturing conditions as they change.
GE Vernova Advanced Research will contribute its expertise in digital twins and process control, while providing realistic manufacturing scenarios, collecting process-performance data, and defining industry technical requirements. The University of Delaware will contribute to the development and evaluation of the AI-driven manufacturing framework.
The nine-month project is part of the first cohort of projects supported by the U.S. Genesis Mission, an initiative focused on applying AI to accelerate scientific and technological development. The Genesis Mission received more than 5,000 proposals, with 278 projects selected for awards. Awardees also receive access to AI frameworks, advanced AI models, software, and high-performance computing resources.
The partners aim to create a manufacturing system capable of predicting process outcomes and autonomously adapting to changing conditions. For large composite structures, such closed-loop control could help address variations in resin flow and cure while improving manufacturing consistency and production reliability.
The project adds an AI and digital-engineering dimension to composite manufacturing, with potential applications across different materials and manufacturing processes used to produce large-scale FRP structures.
Source: GE Vernova | News
