Flooding prevention in distillation and extraction columns with aid of machine learning approaches
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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In: Oeing, J., Neuendorf, L.M., Bittorf, L., Krieger, W. and Kockmann, N. (2021), Flooding Prevention in Distillation and Extraction Columns with Aid of Machine Learning Approaches. Chemie Ingenieur Technik, 93: 1917-1929. https://doi.org/10.1002/cite.202100051
- Event
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Veröffentlichung
- (where)
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Dortmund
- (who)
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Universitätsbibliothek Dortmund
- (when)
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2021
- Creator
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Oeing, Jonas
Neuendorf, Laura Maria
Bittorf, Lukas
Krieger, Waldemar
Kockmann, Norbert
- Handle
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2003/40795
- URN
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urn:nbn:de:101:1-2022031802442680569952
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:46 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Oeing, Jonas
- Neuendorf, Laura Maria
- Bittorf, Lukas
- Krieger, Waldemar
- Kockmann, Norbert
- Universitätsbibliothek Dortmund
Time of origin
- 2021
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Nonlinear control of high purity distillation columns
Multicomponent mass transfer in packed distillation columns
Prediction of Flooding in Packed Liquid‐Liquid and High‐Pressure Extraction Columns Using a Gaussian Process
Global Optimization of Ideal Multi-component Distillation Columns
Coupled Transport Processes in Zero-Gravity Distillation Columns
Contribution ti the design of multicomponent homogeneous azeotropic distillation columns
Intensification of liquid-liquid extraction columns by microgels
Thermally coupled distillation columns without vapor transfer – Current state and further needs
Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns
Performance Map for the Design of Liquid-Liquid Extraction Columns
A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation
Numerically optimized diabatic distillation columns
Nonlinear control of high purity distillation columns
Multicomponent mass transfer in packed distillation columns
Prediction of Flooding in Packed Liquid‐Liquid and High‐Pressure Extraction Columns Using a Gaussian Process
Global Optimization of Ideal Multi-component Distillation Columns
Coupled Transport Processes in Zero-Gravity Distillation Columns
Contribution ti the design of multicomponent homogeneous azeotropic distillation columns
Intensification of liquid-liquid extraction columns by microgels
Thermally coupled distillation columns without vapor transfer – Current state and further needs
Adaptive Learning of Hybrid Models for Nonlinear Model Predictive Control of Distillation Columns
Performance Map for the Design of Liquid-Liquid Extraction Columns