Batch Endpoint Prediction using Local Mixture of Batch Time Experts

Souza, Francisco; Offermans, Tim; Jansen, Jeroen J.

doi:10.1109/metroxraine54828.2022.9967672

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2023

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“…These methods compress information contained in the measurement trajectories and facilitate the comparison of the currently running batch with past batches, or directly predict a final property of the running batch. A recent example for batch endpoint prediction can be found in [25]. If a dynamic process model is available, the second group of methods apply state estimation techniques to infer polymer quality properties and monomer conversion from the available online measurements.…”

Section: Comparison With Previous Workmentioning

confidence: 99%

Gray‐Box Modeling of the Molecular Weight Distribution in a Batch Polymerization Reactor

Bordas

Kurt

Bamberg

et al. 2023

Chemie Ingenieur Technik

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We introduce a gray‐box approach for modeling the molecular weight distribution in step‐growth polymerization reactions using the aggregation population balance equation. The approach is based on extracting a data‐based kernel function from in‐process measurements of the molecular weight distribution. The method is applied to historical data from an industrial batch polymerization reactor. The resulting model is used for decision support in production by predicting the reaction endpoint corresponding to a target molecular weight. The accuracy of the predictions proved to be sufficient for the deployment of the method.

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Section: Comparison With Previous Workmentioning

confidence: 99%