{"id":"https://openalex.org/W4284990736","doi":"https://doi.org/10.1007/s10845-022-01979-0","title":"Relating wear stages in sheet metal forming based on short- and long-term force signal variations","display_name":"Relating wear stages in sheet metal forming based on short- and long-term force signal variations","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4284990736","doi":"https://doi.org/10.1007/s10845-022-01979-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-022-01979-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01979-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01979-0.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/s10845-022-01979-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036748417","display_name":"Philipp Niemietz","orcid":"https://orcid.org/0000-0002-3524-3411"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Philipp Niemietz","raw_affiliation_strings":["Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3524-3411","affiliations":[{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067311089","display_name":"Mia J. K. Kornely","orcid":"https://orcid.org/0000-0002-7230-0868"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mia J. K. Kornely","raw_affiliation_strings":["Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7230-0868","affiliations":[{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064579710","display_name":"Daniel Trauth","orcid":"https://orcid.org/0000-0002-0139-4908"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Trauth","raw_affiliation_strings":["Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0139-4908","affiliations":[{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066576243","display_name":"Thomas Bergs","orcid":"https://orcid.org/0000-0003-2754-2689"},"institutions":[{"id":"https://openalex.org/I4210096398","display_name":"Fraunhofer Institute for Production Technology IPT","ror":"https://ror.org/00t0rcy29","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210096398","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Bergs","raw_affiliation_strings":["Fraunhofer Institute for Production Technology, Steinbachstra\u00dfe 17, 52074, Aachen, Germany","Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2754-2689","affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Production Technology, Steinbachstra\u00dfe 17, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I4210096398"]},{"raw_affiliation_string":"Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036748417"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.7906,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83204652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"33","issue":"7","first_page":"2143","last_page":"2155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T12252","display_name":"Mechanical stress and fatigue analysis","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10700","display_name":"Metal Forming Simulation Techniques","score":0.9922999739646912,"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/lubricant","display_name":"Lubricant","score":0.713503897190094},{"id":"https://openalex.org/keywords/stamping","display_name":"Stamping","score":0.60209059715271},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5812074542045593},{"id":"https://openalex.org/keywords/forming-processes","display_name":"Forming processes","score":0.5774497389793396},{"id":"https://openalex.org/keywords/sheet-metal","display_name":"Sheet metal","score":0.5555922985076904},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.5046426057815552},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47152361273765564},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46648600697517395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38134849071502686},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.37494200468063354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2751736640930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14046710729599}],"concepts":[{"id":"https://openalex.org/C2780874159","wikidata":"https://www.wikidata.org/wiki/Q323840","display_name":"Lubricant","level":2,"score":0.713503897190094},{"id":"https://openalex.org/C144444463","wikidata":"https://www.wikidata.org/wiki/Q9363879","display_name":"Stamping","level":2,"score":0.60209059715271},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5812074542045593},{"id":"https://openalex.org/C139321929","wikidata":"https://www.wikidata.org/wiki/Q1363994","display_name":"Forming processes","level":2,"score":0.5774497389793396},{"id":"https://openalex.org/C2779747408","wikidata":"https://www.wikidata.org/wiki/Q211367","display_name":"Sheet metal","level":2,"score":0.5555922985076904},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.5046426057815552},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47152361273765564},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46648600697517395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38134849071502686},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.37494200468063354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2751736640930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14046710729599},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":5,"locations":[{"id":"doi:10.1007/s10845-022-01979-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01979-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01979-0.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:RePEc:spr:joinma:v:33:y:2022:i:7:d:10.1007_s10845-022-01979-0","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-022-01979-0","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"},{"id":"pmh:oai:econstor.eu:10419/310015","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/310015","pdf_url":null,"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:publica.fraunhofer.de:publica/429732","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/429732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"},{"id":"pmh:oai:publications.rwth-aachen.de:849611","is_oa":true,"landing_page_url":"https://publications.rwth-aachen.de/record/849611","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"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":"Journal of intelligent manufacturing 33(7), 2143-2155 (2022). doi:10.1007/s10845-022-01979-0","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s10845-022-01979-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01979-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01979-0.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":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G69884316","display_name":null,"funder_award_id":"EXC-2023","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7300938430","display_name":null,"funder_award_id":"390621612","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4284990736.pdf","grobid_xml":"https://content.openalex.org/works/W4284990736.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1977579918","https://openalex.org/W2479324400","https://openalex.org/W2485593957","https://openalex.org/W2539060611","https://openalex.org/W2753164060","https://openalex.org/W2767086794","https://openalex.org/W2886018902","https://openalex.org/W2889326414","https://openalex.org/W3012919764","https://openalex.org/W3033481996","https://openalex.org/W3042422805","https://openalex.org/W3099514962","https://openalex.org/W3123790648","https://openalex.org/W3172636945","https://openalex.org/W3173576351","https://openalex.org/W4235957200","https://openalex.org/W4247425904","https://openalex.org/W4398383467","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2367831859","https://openalex.org/W2021048543","https://openalex.org/W2359102334","https://openalex.org/W3105652519","https://openalex.org/W3119257383","https://openalex.org/W2363943545","https://openalex.org/W3117384322","https://openalex.org/W2387159470","https://openalex.org/W2388393345","https://openalex.org/W2357802836"],"abstract_inverted_index":{"Abstract":[0],"Monitoring":[1],"systems":[2],"in":[3,31,71,89,121,167,177],"sheet":[4,178],"metal":[5,179],"forming":[6,39,180],"cannot":[7],"rely":[8],"on":[9,198],"direct":[10],"measurements":[11],"of":[12,16,63,79,103,152,156,201],"the":[13,19,22,26,38,60,80,87,101,116,144,161],"physical":[14,61,77],"condition":[15],"interest":[17],"because":[18],"space":[20],"between":[21],"die":[23],"component":[24],"and":[25,55,85,95,118,131,134],"material":[27],"is":[28,67,196],"inaccessible.":[29],"Therefore,":[30],"order":[32],"to":[33,47,59,76,98,142,159],"gain":[34],"further":[35],"insight":[36],"into":[37,115],"or":[40,190],"stamping":[41],"process,":[42],"sensors":[43],"must":[44],"be":[45],"used":[46,126],"detect":[48],"auxiliary":[49],"quantities":[50,62],"such":[51],"as":[52,127,154],"acoustic":[53],"emission":[54],"force":[56,72,107,137,181],"that":[57,69],"relate":[58],"interest.":[64],"While":[65],"it":[66],"known":[68],"changes":[70,88],"data":[73,90,108,153,182],"are":[74,100],"related":[75],"parameters":[78],"process":[81],"material,":[82],"lubricant":[83],"used,":[84],"geometry,":[86],"over":[91],"large":[92],"stroke":[93],"series":[94],"their":[96],"relationship":[97],"wear":[99,111,136,157,162],"subject":[102],"this":[104],"paper.":[105],"Previously,":[106],"from":[109],"different":[110],"conditions":[112],"(artificially":[113],"introduced":[114],"system":[117],"not":[119],"occurring":[120],"an":[122],"industry-like":[123,168],"environment)":[124],"were":[125],"input":[128],"for":[129,186],"clustering":[130],"classifying":[132],"high":[133],"low":[135],"data.":[138],"This":[139],"paper":[140],"contributes":[141],"fill":[143],"current":[145],"research":[146],"gap":[147],"by":[148],"isolating":[149],"structural":[150],"properties":[151],"indicators":[155],"growth":[158],"quantify":[160],"evolution":[163],"during":[164],"ongoing":[165],"production":[166],"scenarios.":[169],"The":[170,194],"selected":[171],"methods":[172,176],"represent":[173],"either":[174],"established":[175],"analysis,":[183],"dimensionality":[184],"reduction":[185],"local":[187],"structure":[188],"separation":[189],"generic":[191],"feature":[192],"extraction.":[193],"study":[195],"conducted":[197],"a":[199],"set":[200],"four":[202],"experiments":[203],"with":[204],"each":[205],"containing":[206],"about":[207],"3000":[208],"strokes.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
