Prediction of melter cold‐cap topology from plenum temperatures with computational fluid dynamics and machine learning
Author:
Affiliation:
1. Materials Science and Engineering Department Idaho National Laboratory Idaho Falls Idaho USA
Publisher
Wiley
Subject
Ocean Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ces2.10134
Reference41 articles.
1. RichardsonD.Hanford's Melters [Internet]. NEI Magazine.2018[cited 2021 Nov]. Available from:https://www.neimagazine.com/features/featurehanfords‐melters‐6070128/
2. Effect of cold cap coverage and emissivity on the plenum temperature in a pilot‐scale waste vitrification melter
3. Validation hierarchy for waste vitrification models;Guillen DP;Transactions.,2018
4. AbboudAW GuillenDP PokornyR.Convolutional neural network model for the prediction of plenum temperature in a waste glass melter.ASME 2020 Power Conference 2020 Aug 2‐6;Anaheim CA. New York:The American Society of Mechanical Engineers;2020.
5. AbboudAW GuillenDP EatonWC DixonD HallM KrugerAA.An artificial neural network with computational fluid dynamics for estimating cold cap coverage in a laboratory‐scale melter. Paper presented at:2021 Waste Management Symposia (Paper No. 21174); 2021 Mar 8‐11 Phoenix AZ.
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