Hydrodynamic and efficiency data pertaining to an air-water column mockup (of 0.8 m internal diameter) equipped with sieve trays

DOI

The hydrodynamic data including effective froth height, liquid holdup and tracer flow and patterns related to an operational sieve tray inside a 0.8 m diameter air-water column simulator are provided here. These data were obtained via an advanced multiplex flow profiler at several gas and liquid loadings. The generated data were examined for predicting the tray efficiency using mathematical models. For model validation, the stripping of isobutyl acetate from the aqueous solution over the tray was employed, and the liquid samples at several tray locations were analyzed via UV spectroscopy. The resulting efficiencies and related information are provided here, too. All raw data files, data processing scripts and supporting information with proper indexing and sequencing are uploaded. All these data are intended for non-commercial use only.

Identifier
DOI https://doi.org/10.14278/rodare.1072
Related Identifier IsIdenticalTo https://www.hzdr.de/publications/Publ-32942
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-35728
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-39118
Related Identifier IsReferencedBy https://www.hzdr.de/publications/Publ-34102
Related Identifier IsPartOf https://doi.org/10.14278/rodare.1071
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Related Identifier IsPartOf https://rodare.hzdr.de/communities/topflow
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:1072
Provenance
Creator Vishwakarma, Vineet ORCID logo; Marchini, Sara ORCID logo; Schleicher, Eckhard; Schubert, Markus ORCID logo; Hampel, Uwe ORCID logo
Publisher Rodare
Contributor Vishwakarma, Vineet; Marchini, Sara; Schleicher, Eckhard; Schubert, Markus; Hampel, Uwe
Publication Year 2021
Rights Restricted Access; info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences