ICCM24 - Graph neural networks for resin transfer molding modeling
Jimmy G. Jean
PhD Student
Guillaume Broggi
Postdoctoral Researcher
Baris Caglar
Principal Investigator
Earlier this month, Jimmy was at the 24th International Conference on Composite Materials (ICCM 24) in Baltimore to provide an update about his research on using Graph Neural Networks (GNNs) to model the Resin Transfer Molding (RTM) process. Our results show the potential of GNNs to replace mesh-based simulations from the microscopic (fiber) scale to the macroscopic (manufactured part) scale.
An extensive journal paper on the subject will be published in the coming months.
We thank Polyworx B.V. for access to their flow simulation software.
