CAMP Lab at TU Delft Integrated approach to sustainable and high-performance composite manufacturing

Code and Data

Explore our published open-source code and datasets.

An image-based deep learning framework for flow field prediction in arbitrary-sized fibrous microstructures
An image-based deep learning framework for flow field prediction in arbitrary-sized fibrous microstructures

This dataset includes steady-state flow simulations for 5250 (periodic) 2D fibrous microstructures that are representative of those encountered in the manufacturing processes (e.g., resin transfer molding) of fiber-reinforced polymer composite (FRPC).

Accelerating curing simulations of composites using Graph Neural Networks
Accelerating curing simulations of composites using Graph Neural Networks

This dataset includes graph representations of cure simulations for training, validating and testing a Graph Neural Network (GNN) surrogate for cure modelling.

Benchmarking and sensitivity analysis of segmentation methods for image-based fiber detection in composites
Benchmarking and sensitivity analysis of segmentation methods for image-based fiber detection in composites

This dataset includes three micrographs of the same polished cross-section of a unidirectional carbon-fiber/LM-PAEK laminate acquired on a Keyence VK-X1000 confocal microscope at three magnification/objective conditions/

More