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  <identifier identifierType="DOI">10.18710/ARTNTB</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Balakin, Boris</creatorName>
      <givenName>Boris</givenName>
      <familyName>Balakin</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-0560-6098</nameIdentifier>
      <affiliation>Western Norway University of Applied Sciences</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Saparbayeva, Nazerke</creatorName>
      <givenName>Nazerke</givenName>
      <familyName>Saparbayeva</familyName>
      <affiliation>Western Norway University of Applied Sciences</affiliation>
    </creator>
  </creators>
  <titles>
    <title>CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles</title>
  </titles>
  <publisher>DataverseNO</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Chemistry</subject>
    <subject>Engineering</subject>
    <subject>Computer and Information Science</subject>
    <subject>Physics</subject>
    <subject>CFD-DEM</subject>
    <subject>plugging</subject>
    <subject>clogging</subject>
    <subject>multiphase</subject>
    <subject>machine learning</subject>
    <subject>random forest</subject>
  </subjects>
  <contributors>
    <contributor contributorType="Producer">
      <contributorName nameType="Organizational">Western Norway University of Applied Sciences</contributorName>
    </contributor>
    <contributor contributorType="Distributor">
      <contributorName nameType="Organizational">Western Norway University of Applied Sciences</contributorName>
    </contributor>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Balakin, Boris</contributorName>
      <givenName>Boris</givenName>
      <familyName>Balakin</familyName>
      <affiliation>Western Norway University of Applied Sciences</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2024-04-24</date>
    <date dateType="Available">2024-05-03</date>
    <date dateType="Collected">2023-05-01/2024-03-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset">simulation data;experimental data</resourceType>
  <relatedIdentifiers>
    <relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.1038/S41598-023-44202-7</relatedIdentifier>
    <relatedIdentifier relationType="IsSupplementTo" relatedIdentifierType="DOI">10.3390/COMPUTATION12040067</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/BNV50C</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/Q7QFUC</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/8AE1FD</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/S9PC1A</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/OZ3C6J</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/AEPWIC</relatedIdentifier>
    <relatedIdentifier relationType="HasPart" relatedIdentifierType="DOI">10.18710/ARTNTB/AZ7WDH</relatedIdentifier>
  </relatedIdentifiers>
  <sizes>
    <size>3030</size>
    <size>2311123</size>
    <size>19353</size>
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    <format>text/plain</format>
    <format>application/pdf</format>
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  <version>1.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0" rightsIdentifier="CC0-1.0" rightsIdentifierScheme="SPDX" schemeURI="https://spdx.org/licenses/" xml:lang="en">Creative Commons CC0 1.0 Universal Public Domain Dedication.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&amp;lt;p&amp;gt;This dataset contains model data for the CFD-DEM simulation of plugging in multiphase flows with cohesive particles. The main results available from the simulations are presented in the dataset together with the overall description of the model.&amp;lt;/p&amp;gt;
&amp;lt;p&amp;gt;The second model is the random forest-based machine learning (ML) routine trained using experiments and CFD-DEM simulations. The source of the ML model is provided together with the training dataset.&amp;lt;/p&amp;gt;</description>
    <description descriptionType="TechnicalInfo">STAR-CCM+, 2210 r.17.06.007</description>
    <description descriptionType="TechnicalInfo">Python, 3.10.12</description>
    <description descriptionType="SeriesInformation">Fundamental studies of plugging in multiphase flows with adhesive particles. Numerical series.</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>Research Council of Norway</funderName>
      <awardNumber>300286</awardNumber>
    </fundingReference>
  </fundingReferences>
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