{"id":"https://openalex.org/W4390439303","doi":"https://doi.org/10.1007/s10845-023-02282-2","title":"Machine-learning based process monitoring for automated composites manufacturing","display_name":"Machine-learning based process monitoring for automated composites manufacturing","publication_year":2023,"publication_date":"2023-12-30","ids":{"openalex":"https://openalex.org/W4390439303","doi":"https://doi.org/10.1007/s10845-023-02282-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-023-02282-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02282-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02282-2.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02282-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112877587","display_name":"Ahmed Mujtaba","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ahmed Mujtaba","raw_affiliation_strings":["Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075546831","display_name":"Faisal Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Faisal Islam","raw_affiliation_strings":["ARC Training Centre for Automated Manufacture of Advanced Composites (AMAC), School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia"],"affiliations":[{"raw_affiliation_string":"ARC Training Centre for Automated Manufacture of Advanced Composites (AMAC), School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024604313","display_name":"Patrick Kaeding","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Kaeding","raw_affiliation_strings":["Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058243135","display_name":"Thomas Lindemann","orcid":null},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Lindemann","raw_affiliation_strings":["Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Marine Technology, The University of Rostock, 18059, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080408809","display_name":"B. Gangadhara Prusty","orcid":"https://orcid.org/0000-0002-6446-0124"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"B. Gangadhara Prusty","raw_affiliation_strings":["ARC Training Centre for Automated Manufacture of Advanced Composites (AMAC), School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia"],"affiliations":[{"raw_affiliation_string":"ARC Training Centre for Automated Manufacture of Advanced Composites (AMAC), School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112877587"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.1101,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91776722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"36","issue":"2","first_page":"1095","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9934999942779541,"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/finite-element-method","display_name":"Finite element method","score":0.6330168843269348},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5647708773612976},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5556351542472839},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5294491648674011},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4766836166381836},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4707259237766266},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.42727768421173096},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.4203813970088959},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.41852909326553345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37868815660476685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35467445850372314},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.32383787631988525},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.21832674741744995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12918993830680847}],"concepts":[{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.6330168843269348},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5647708773612976},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5556351542472839},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5294491648674011},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4766836166381836},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4707259237766266},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.42727768421173096},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.4203813970088959},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.41852909326553345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37868815660476685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35467445850372314},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.32383787631988525},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.21832674741744995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12918993830680847},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10845-023-02282-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02282-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02282-2.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:econstor.eu:10419/318673","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/318673","pdf_url":"https://www.econstor.eu/bitstream/10419/318673/1/10845_2023_Article_2282.pdf","source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:RePEc:spr:joinma:v:36:y:2025:i:2:d:10.1007_s10845-023-02282-2","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-023-02282-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10845-023-02282-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-023-02282-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-023-02282-2.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320386","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390439303.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1966983793","https://openalex.org/W1967267540","https://openalex.org/W1980348715","https://openalex.org/W1986696891","https://openalex.org/W2226832866","https://openalex.org/W2604017118","https://openalex.org/W2621886010","https://openalex.org/W2623538979","https://openalex.org/W2799846584","https://openalex.org/W2800722845","https://openalex.org/W2890904471","https://openalex.org/W2910597635","https://openalex.org/W2966374437","https://openalex.org/W2982689699","https://openalex.org/W2987933154","https://openalex.org/W2990714382","https://openalex.org/W3000617627","https://openalex.org/W3008952662","https://openalex.org/W3041382148","https://openalex.org/W3093614290","https://openalex.org/W3119908526","https://openalex.org/W3121681780","https://openalex.org/W3134882985","https://openalex.org/W3162050679","https://openalex.org/W3171351371","https://openalex.org/W3194046247","https://openalex.org/W3194131269","https://openalex.org/W3198175830","https://openalex.org/W3209398723","https://openalex.org/W3217153499","https://openalex.org/W4205773956","https://openalex.org/W4206186653","https://openalex.org/W4207059360","https://openalex.org/W4207080305","https://openalex.org/W4240996198","https://openalex.org/W4280531853","https://openalex.org/W4281784047","https://openalex.org/W4283742391","https://openalex.org/W4283814536","https://openalex.org/W4296784952","https://openalex.org/W4315977462","https://openalex.org/W7075583322"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W2004826645"],"abstract_inverted_index":{"Abstract":[0],"Automated":[1],"fibre":[2],"placement":[3],"(AFP)":[4],"is":[5,37,64,258],"an":[6,65],"advanced":[7],"robotic":[8],"manufacturing":[9,70,76,88,247,274,298],"technique":[10],"which":[11],"can":[12,238],"overcome":[13],"the":[14,28,40,90,101,107,112,116,138,160,165,202,222,242,250,253,281,288,295],"challenges":[15],"of":[16,23,42,68,81,100,109,115,137,159,205,214,227,252,280,290,294],"traditional":[17],"composite":[18],"manufacturing.":[19,33,171],"The":[20,34,78,141,234],"interlaminar":[21],"strength":[22],"AFP-manufactured":[24],"composites":[25,87,297],"depends":[26],"on":[27,125,151,216],"in-situ":[29,166,244],"thermal":[30,35,167,206,236,263],"history":[31,36],"during":[32,85,169,246,273],"controlled":[38],"by":[39,200,224],"choice":[41],"processing":[43],"conditions":[44],"and":[45,71,134,183,220,277,284],"improper":[46],"interfacial":[47],"temperatures":[48,245,272],"may":[49],"result":[50],"in":[51,62,268],"insufficient":[52],"bonding.":[53],"Being":[54],"able":[55],"to":[56,74,104,163,191,231,248,260],"better":[57,105],"predict":[58,106,164,249],"such":[59],"maintenance":[60,136,279],"issues":[61],"real-time":[63,82,131,243,271],"important":[66,203],"focus":[67],"smart":[69],"Industry":[72],"4.0":[73],"improve":[75],"operations.":[77],"data":[79,219,265],"analysis":[80,267],"temperature":[83,91],"measurements":[84],"AFP":[86,102,117,139,161,170,282,296],"requires":[89],"profiles":[92,207,264],"from":[93,153],"Finite":[94,154],"Element":[95,155],"Analysis":[96,156],"(FEA)":[97,157],"based":[98,150,195],"simulations":[99,114,158],"process":[103,118,132,162,283],"quality":[108,251],"layup.":[110,254],"However,":[111],"FEA":[113,232],"are":[119,189],"computationally":[120],"expensive.":[121],"This":[122],"study":[123],"focuses":[124],"developing":[126],"a":[127,145,209,291],"digital":[128,142,292],"tool":[129,143],"enabling":[130,275],"monitoring":[133,276],"predictive":[135,278],"process.":[140,299],"constitutes":[144],"machine":[146],"learning-based":[147],"surrogate":[148,196],"model":[149,197],"results":[152],"profile":[168,237],"Multivariate":[172,175],"Linear":[173],"Regression,":[174,177],"Polynomial":[176],"Support":[178],"Vector":[179],"Machine,":[180],"Random":[181],"Forest":[182],"Artificial":[184],"Neural":[185],"Network":[186],"(ANN)-based":[187],"models":[188],"compared":[190,230,240],"conclude":[192],"that":[193],"ANN":[194],"performs":[198],"best":[199],"predicting":[201],"parameters":[204],"with":[208,241,270],"mean":[210],"absolute":[211],"percentage":[212],"error":[213],"1.56%":[215],"additional":[217],"test":[218],"reducing":[221],"time":[223],"four":[225],"orders":[226],"magnitude":[228],"as":[229],"simulations.":[233],"predicted":[235,262],"be":[239],"A":[255],"GUI":[256],"application":[257],"developed":[259],"provide":[261],"for":[266,287],"conjunction":[269],"paving":[285],"way":[286],"development":[289],"twin":[293]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
