<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles</titl><IDNo agency="DOI">doi:10.18710/ARTNTB</IDNo></titlStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distDate>2024-05-03</distDate></distStmt><verStmt source="archive"><version date="2024-05-03" type="RELEASED">1</version></verStmt><biblCit>Balakin, Boris; Saparbayeva, Nazerke, 2024, "CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles", https://doi.org/10.18710/ARTNTB, DataverseNO, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>CFD-DEM and machine learning for modelling of plugging in pipes with cohesive particles</titl><IDNo agency="DOI">doi:10.18710/ARTNTB</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Western Norway University of Applied Sciences">Balakin, Boris</AuthEnty><AuthEnty affiliation="Western Norway University of Applied Sciences">Saparbayeva, Nazerke</AuthEnty></rspStmt><prodStmt><producer abbr="HVL">Western Norway University of Applied Sciences</producer><software version="2210 r.17.06.007">STAR-CCM+</software><software version="3.10.12">Python</software><grantNo agency="Research Council of Norway">300286</grantNo></prodStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distrbtr abbr="HVL" URI="https://dataverse.no/dataverse/hvl">Western Norway University of Applied Sciences</distrbtr><contact affiliation="Western Norway University of Applied Sciences" email="Boris.Balakin@hvl.no">Balakin, Boris</contact><depositr>Balakin, Boris</depositr><depDate>2024-04-24</depDate></distStmt><serStmt><serName>Fundamental studies of plugging in multiphase flows with adhesive particles. Numerical series.</serName><serInfo>The simulations reproduce experiments on plugging of ice-in-decane slurry conducted in the multiphase flow loop of Høgskulen på Vestlandet (FLOWCHART project)</serInfo></serStmt><holdings URI="https://doi.org/10.18710/ARTNTB"/></citation><stdyInfo><subject><keyword xml:lang="en">Chemistry</keyword><keyword xml:lang="en">Computer and Information Science</keyword><keyword xml:lang="en">Engineering</keyword><keyword xml:lang="en">Physics</keyword><keyword>CFD-DEM</keyword><keyword>plugging</keyword><keyword>clogging</keyword><keyword>multiphase</keyword><keyword>machine learning</keyword><keyword>random forest</keyword></subject><abstract date="2024-04-22">&lt;p>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.&lt;/p>
&lt;p>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.&lt;/p></abstract><sumDscr><collDate cycle="P1" event="start" date="2023-05-01">2023-05-01</collDate><collDate cycle="P1" event="end" date="2024-03-01">2024-03-01</collDate><dataKind>simulation data</dataKind><dataKind>experimental data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Saparbayeva, Nazerke, and Boris V. Balakin. "CFD-DEM model of plugging in flow with cohesive particles." Scientific Reports 13.1 (2023): 17188.</titl><IDNo agency="doi">10.1038/s41598-023-44202-7</IDNo></titlStmt><biblCit>Saparbayeva, Nazerke, and Boris V. Balakin. "CFD-DEM model of plugging in flow with cohesive particles." Scientific Reports 13.1 (2023): 17188.</biblCit></citation><ExtLink URI="https://doi.org/10.1038/s41598-023-44202-7"/></relPubl><relPubl><citation><titlStmt><titl>Saparbayeva, Nazerke, et al. "Application of Machine Learning to Predict Blockage in Multiphase Flow." Computation 12.4 (2024): 67.</titl><IDNo agency="doi">10.3390/computation12040067</IDNo></titlStmt><biblCit>Saparbayeva, Nazerke, et al. "Application of Machine Learning to Predict Blockage in Multiphase Flow." Computation 12.4 (2024): 67.</biblCit></citation><ExtLink URI="https://doi.org/10.3390/computation12040067"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f209106" URI="https://dataverse.no/api/access/datafile/209106" level="datafile"><labl>00_ReadMe.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f209057" URI="https://dataverse.no/api/access/datafile/209057" level="datafile"><labl>_gamma=0.78.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f209051" URI="https://dataverse.no/api/access/datafile/209051" level="datafile"><labl>_gamma=0.88.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f209056" URI="https://dataverse.no/api/access/datafile/209056" level="datafile"><labl>_gamma=0.8.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f209054" URI="https://dataverse.no/api/access/datafile/209054" level="datafile"><labl>MLcode.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f209055" URI="https://dataverse.no/api/access/datafile/209055" level="datafile"><labl>PluggingCases.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f209053" URI="https://dataverse.no/api/access/datafile/209053" level="datafile"><labl>SummaryReport.pdf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>