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Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_afb52eab7e1947febd7f9ed9774ba986

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

About this item

Full title

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Publisher

Switzerland: MDPI AG

Journal title

Bioengineering (Basel), 2024-02, Vol.11 (3), p.212

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Dynamic crossflow filtration (DCF) is the state-of-the-art technology for solid-liquid separation from viscous and sensitive feed streams in the food and biopharma industry. Up to now, the potential of industrial processes is often not fully exploited, because fixed recipes are usually applied to run the processes. In order to take the varying prop...

Alternative Titles

Full title

Regression Metamodel-Based Digital Twin for an Industrial Dynamic Crossflow Filtration Process

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_afb52eab7e1947febd7f9ed9774ba986

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_afb52eab7e1947febd7f9ed9774ba986

Other Identifiers

ISSN

2306-5354

E-ISSN

2306-5354

DOI

10.3390/bioengineering11030212

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