{"id":"https://openalex.org/W3214067149","doi":"https://doi.org/10.1515/ipp-2020-4094","title":"Predicting the Non-Linear Conveying Behavior in Single-Screw Extrusion: A Comparison of Various Data-Based Modeling Approaches used with CFD Simulations","display_name":"Predicting the Non-Linear Conveying Behavior in Single-Screw Extrusion: A Comparison of Various Data-Based Modeling Approaches used with CFD Simulations","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3214067149","doi":"https://doi.org/10.1515/ipp-2020-4094","mag":"3214067149"},"language":"en","primary_location":{"id":"doi:10.1515/ipp-2020-4094","doi":"https://doi.org/10.1515/ipp-2020-4094","is_oa":false,"landing_page_url":"https://doi.org/10.1515/ipp-2020-4094","pdf_url":null,"source":{"id":"https://openalex.org/S1200972","display_name":"International Polymer Processing","issn_l":"0930-777X","issn":["0930-777X","2195-8602"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Polymer Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://resolver.obvsg.at/urn:nbn:at:at-ubl:3-22593","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001256517","display_name":"Wolfgang Roland","orcid":"https://orcid.org/0000-0002-0213-6118","observed_orcids":["https://orcid.org/0000-0002-0213-6118"]},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"W. Roland","raw_affiliation_strings":["Institute of Polymer Extrusion and Compounding, Johannes Kepler University Linz , Linz , Austria","Pro2Future GmbH , Linz , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Polymer Extrusion and Compounding, Johannes Kepler University Linz , Linz , Austria","institution_ids":["https://openalex.org/I121883995"]},{"raw_affiliation_string":"Pro2Future GmbH , Linz , Austria","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038330024","display_name":"Christian Marschik","orcid":"https://orcid.org/0000-0003-2033-9047","observed_orcids":["https://orcid.org/0000-0003-2033-9047"]},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]},{"id":"https://openalex.org/I4405257869","display_name":"Competence Center CHASE GmbH (Austria)","ror":"https://ror.org/05rq5rv71","country_code":"AT","type":"facility","lineage":["https://openalex.org/I4405257869"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"C. Marschik","raw_affiliation_strings":["CHASE GmbH , Linz , Austria","Institute of Polymer Extrusion and Compounding, Johannes Kepler University Linz , Linz , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CHASE GmbH , Linz , Austria","institution_ids":["https://openalex.org/I4405257869"]},{"raw_affiliation_string":"Institute of Polymer Extrusion and Compounding, Johannes Kepler University Linz , Linz , Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004674296","display_name":"Michael Kommenda","orcid":"https://orcid.org/0000-0003-2049-723X","observed_orcids":["https://orcid.org/0000-0003-2049-723X"]},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"M. Kommenda","raw_affiliation_strings":["Heuristic and Evolutionary Algorithm Laboratory, University of Applied Sciences Upper Austria , Hagenberg , Austria","Josef Ressel Centre for Symbolic Regression, University of Applied Sciences Upper Austria , Hagenberg , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heuristic and Evolutionary Algorithm Laboratory, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]},{"raw_affiliation_string":"Josef Ressel Centre for Symbolic Regression, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036134240","display_name":"Andreas Haghofer","orcid":"https://orcid.org/0000-0001-6649-5374","observed_orcids":["https://orcid.org/0000-0001-6649-5374"]},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Haghofer","raw_affiliation_strings":["Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051207728","display_name":"Sebastian Dorl","orcid":"https://orcid.org/0000-0003-0175-785X","observed_orcids":["https://orcid.org/0000-0003-0175-785X"]},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"S. Dorl","raw_affiliation_strings":["Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036920760","display_name":"Stephan Winkler","orcid":"https://orcid.org/0000-0002-5196-4294","observed_orcids":["https://orcid.org/0000-0002-5196-4294"]},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"S. Winkler","raw_affiliation_strings":["Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria","Heuristic and Evolutionary Algorithm Laboratory, University of Applied Sciences Upper Austria , Hagenberg , Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Research Group, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]},{"raw_affiliation_string":"Heuristic and Evolutionary Algorithm Laboratory, University of Applied Sciences Upper Austria , Hagenberg , Austria","institution_ids":["https://openalex.org/I4210136249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"EUR","value_usd":2366},"apc_paid":null,"fwci":0.8502,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.66741447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"36","issue":"5","first_page":"529","last_page":"544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.6460000276565552,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.6460000276565552,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.18709999322891235,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12080","display_name":"Injection Molding Process and Properties","score":0.052000001072883606,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/single-screw-extrusion","display_name":"single-screw extrusion","score":0.9909999966621399},{"id":"https://openalex.org/keywords/polymer-melt-flow","display_name":"polymer melt flow","score":0.9480000138282776},{"id":"https://openalex.org/keywords/data-driven-modeling","display_name":"data-driven modeling","score":0.7620000243186951},{"id":"https://openalex.org/keywords/gradient-boosted-decision-trees","display_name":"gradient boosting decision tree","score":0.9739999771118164},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"genetic programming","score":0.7979999780654907},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"symbolic regression","score":0.9850000143051147},{"id":"https://openalex.org/keywords/hybrid-modeling","display_name":"hybrid modeling","score":0.746999979019165},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.7950000166893005},{"id":"https://openalex.org/keywords/extrapolation","display_name":"extrapolation","score":0.4410000145435333}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.8150312900543213},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6296730041503906},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5713878273963928},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4984285831451416},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4811724126338959},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4424409866333008},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42769643664360046},{"id":"https://openalex.org/C97103648","wikidata":"https://www.wikidata.org/wiki/Q2738101","display_name":"Plastics extrusion","level":2,"score":0.42647671699523926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37259507179260254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3431624174118042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32760193943977356},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20341995358467102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18604597449302673},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/ipp-2020-4094","doi":"https://doi.org/10.1515/ipp-2020-4094","is_oa":false,"landing_page_url":"https://doi.org/10.1515/ipp-2020-4094","pdf_url":null,"source":{"id":"https://openalex.org/S1200972","display_name":"International Polymer Processing","issn_l":"0930-777X","issn":["0930-777X","2195-8602"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4310313990","host_organization_name":"De Gruyter","host_organization_lineage":["https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Polymer Processing","raw_type":"journal-article"},{"id":"pmh:oai:epub.jku.at/:9714426","doi":null,"is_oa":true,"landing_page_url":"https://resolver.obvsg.at/urn:nbn:at:at-ubl:3-22593","pdf_url":null,"source":{"id":"https://openalex.org/S4306401788","display_name":"University Library Linz repository (Johannes Kepler Universitat Linz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I121883995","host_organization_name":"Johannes Kepler University of Linz","host_organization_lineage":["https://openalex.org/I121883995"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:epub.jku.at/:9714426","doi":null,"is_oa":true,"landing_page_url":"https://resolver.obvsg.at/urn:nbn:at:at-ubl:3-22593","pdf_url":null,"source":{"id":"https://openalex.org/S4306401788","display_name":"University Library Linz repository (Johannes Kepler Universitat Linz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I121883995","host_organization_name":"Johannes Kepler University of Linz","host_organization_lineage":["https://openalex.org/I121883995"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W74920699","https://openalex.org/W297841065","https://openalex.org/W587297200","https://openalex.org/W1524518091","https://openalex.org/W1540371141","https://openalex.org/W1543488019","https://openalex.org/W1554663460","https://openalex.org/W1576818901","https://openalex.org/W1588023749","https://openalex.org/W1678356000","https://openalex.org/W1836465849","https://openalex.org/W1999927946","https://openalex.org/W2001450347","https://openalex.org/W2004915807","https://openalex.org/W2006056600","https://openalex.org/W2013303054","https://openalex.org/W2018789221","https://openalex.org/W2021283370","https://openalex.org/W2023699685","https://openalex.org/W2031542419","https://openalex.org/W2032186810","https://openalex.org/W2033471677","https://openalex.org/W2048275446","https://openalex.org/W2054639529","https://openalex.org/W2056544463","https://openalex.org/W2071063673","https://openalex.org/W2095705004","https://openalex.org/W2145073242","https://openalex.org/W2168490357","https://openalex.org/W2213612645","https://openalex.org/W2295598076","https://openalex.org/W2610015297","https://openalex.org/W2752325598","https://openalex.org/W2770167649","https://openalex.org/W2888421853","https://openalex.org/W2904250082","https://openalex.org/W2911964244","https://openalex.org/W2912149177","https://openalex.org/W2937242005","https://openalex.org/W2985942842","https://openalex.org/W2991933648","https://openalex.org/W2996489182","https://openalex.org/W3000836971","https://openalex.org/W3080184271","https://openalex.org/W3102476541","https://openalex.org/W3208702143","https://openalex.org/W4205686602","https://openalex.org/W4232478520","https://openalex.org/W4253510359","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4386175917","https://openalex.org/W2752325598","https://openalex.org/W2610015297","https://openalex.org/W4392615525","https://openalex.org/W2888421853","https://openalex.org/W2094493410","https://openalex.org/W7033901959","https://openalex.org/W7002480831","https://openalex.org/W1965685125","https://openalex.org/W4416208314"],"abstract_inverted_index":{"Abstract":[0],"The":[1,134],"traditional":[2],"approach":[3],"to":[4,21,65,91,107,152,158,171,183,199,215],"modeling":[5,26,43,71,212],"the":[6,74,87,92,98,130,148,155,160,172,201],"polymer":[7],"melt":[8],"flow":[9,94,132],"in":[10,30,32,60,82,218],"single-screw":[11,83],"extruders":[12],"is":[13],"based":[14,56],"on":[15,57,178],"analytical":[16],"and":[17,40,52,128,146,154,174,186,188,196],"numerical":[18,126],"analyses.":[19],"Due":[20],"increasing":[22],"computational":[23],"power,":[24],"data-driven":[25],"has":[27],"grown":[28],"significantly":[29],"popularity":[31],"recent":[33],"years.":[34],"In":[35,181],"this":[36],"study,":[37],"we":[38,96,104,124,163,191],"compared":[39],"evaluated":[41,192],"databased":[42],"approaches":[44,213],"(i.":[45],"e.,":[46],"gradient-boosted":[47],"trees,":[48],"artificial":[49],"neural":[50],"networks,":[51],"symbolic":[53],"regression":[54],"models":[55,173],"genetic":[58],"programming)":[59],"terms":[61],"of":[62,79,89,116,209],"their":[63,176],"ability":[64],"predict":[66],"\u2013":[67,73],"within":[68],"a":[69,109,113,206],"hybrid":[70],"framework":[72],"three-dimensional":[75],"non-linear":[76],"throughput-pressure":[77],"relationship":[78],"metering":[80],"channels":[81],"extruders.":[84],"By":[85],"applying":[86],"theory":[88],"similarity":[90],"governing":[93],"equations,":[95],"identified":[97],"characteristic":[99],"dimensionless":[100,131],"influencing":[101],"parameters,":[102],"which":[103],"then":[105],"varied":[106],"create":[108],"large":[110,135],"dataset":[111,136],"covering":[112],"wide":[114],"range":[115],"possible":[117],"applications.":[118],"For":[119],"each":[120],"single":[121],"design":[122],"point":[123],"conducted":[125],"simulations":[127],"obtained":[129],"rate.":[133],"was":[137],"divided":[138],"into":[139],"three":[140],"independent":[141],"sets":[142],"for":[143],"training,":[144],"interpolation,":[145],"extrapolation,":[147],"first":[149],"being":[150],"used":[151],"generate":[153],"remaining":[156],"two":[157,165],"evaluate":[159],"models.":[161,202],"Further,":[162],"added":[164],"features":[166],"derived":[167],"from":[168],"expert":[169],"knowledge":[170],"analyzed":[175],"influence":[177],"predictive":[179],"power.":[180],"addition":[182],"prediction":[184],"accuracy":[185],"interpolation":[187],"extrapolation":[189],"capabilities,":[190],"model":[193],"complexity,":[194],"interpretability,":[195],"time":[197],"required":[198],"learn":[200],"This":[203],"study":[204],"provides":[205],"rigorous":[207],"analysis":[208],"various":[210],"data-based":[211],"applied":[214],"simulation":[216],"data":[217],"extrusion.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2021-11-22T00:00:00"}