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Real time uncertainty estimation in filling stage of RTM process

dataset
posted on 24.09.2020 by Konstantinos Tifkitsis, Alex Skordos
Surrogate models validation: includes comparison between FE model and surrogate model

Sensors data: includes the response of the three lineal sensors

Real time uncertainty estimation: includes the results of the inversion procedure

Prior model: confidence intervals using prior knowledge

Post model: confidence intervals using inversion solution

CDF Filling time estimation: Cumulative density function of filling time estimation at different times during filling process

Funding

SimCoDeQ (project ID: 686493).

History

Authoriser (e.g. PI/supervisor)

a.a.skordos@cranfield.ac.uk

Exports