Data-driven approaches for composite characterization, monitoring, and accelerated development - I Oral Communications
Wednesday 3 July 2024
9:15 am - 10:45 am
Room I
Wednesday 3 July 2024
9:15 am - 10:45 am
Room I
Chair(s) :
Anaële LEFEUVRE
Caroline PETIOT (FRANCE )
Adrien LEYGUE (FRANCE )
Communication
9:15 am
A Theory-guided Probabilistic Machine Learning Framework for Accelerated Prediction of Process-induced Deformations in Advanced Composites
Navid ZOBEIRY (UNITED STATES )
Navid ZOBEIRY (UNITED STATES )
Topic(s) : Special Sessions
9:30 am
RTM-flow front detection for GFRP components with embedded MEMS-acceleration sensors
Markus MÜNCH (GERMANY )
Markus MÜNCH (GERMANY )
Topic(s) : Special Sessions
9:45 am
Inverse computation of local fiber orientations using digital image correlation and differentiable finite element computations
Nils MEYER (GERMANY )
Nils MEYER (GERMANY )
Topic(s) : Special Sessions
10:00 am
Data driven method to reveal relationships between material ingredients, process parameters and final coupon properties: Demo on 3D printing and opportunities for materials recycling
Johan MERZOUKI (FRANCE )
Johan MERZOUKI (FRANCE )
Topic(s) : Special Sessions
10:15 am
QUANTIFYING PREFORM QUALITY THROUGH DEFECT INSPECTION OF IN-FACTORY PHOTOGRAPHS
Umeir KHAN (UNITED KINGDOM )
Umeir KHAN (UNITED KINGDOM )
Topic(s) : Special Sessions
10:30 am
Assessing Microscale Heterogeneities and Their Impact on Thermal Propagation in CFRTP Composites
Mabel PALACIOS SUAREZ (FRANCE )
Mabel PALACIOS SUAREZ (FRANCE )
Topic(s) : Special Sessions