{"id":"https://openalex.org/W4306680260","doi":"https://doi.org/10.1007/s10845-022-02026-8","title":"Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets","display_name":"Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum alloy sheets","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4306680260","doi":"https://doi.org/10.1007/s10845-022-02026-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-022-02026-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-02026-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-02026-8.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/s10845-022-02026-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071990214","display_name":"Sherwan Mohammed Najm","orcid":"https://orcid.org/0000-0003-3412-0716"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]},{"id":"https://openalex.org/I4210143651","display_name":"Northern Technical University","ror":"https://ror.org/03ytenv10","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210143651"]}],"countries":["HU","IQ"],"is_corresponding":true,"raw_author_name":"Sherwan Mohammed Najm","raw_affiliation_strings":["Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, M\u0171egyetem rkp. 3, 1111, Budapest, Hungary","Kirkuk Technical Institute, Northern Technical University, 36001, Kirkuk, Iraq"],"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, M\u0171egyetem rkp. 3, 1111, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Kirkuk Technical Institute, Northern Technical University, 36001, Kirkuk, Iraq","institution_ids":["https://openalex.org/I4210143651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090552404","display_name":"Imre Paniti","orcid":"https://orcid.org/0000-0002-7029-4695"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Imre Paniti","raw_affiliation_strings":["Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control (SZTAKI), Kende u. 13-17, 1111, Budapest, Hungary","Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, M\u0171egyetem rkp. 3, 1111, Budapest, Hungary","Research Center of Vehicle Industry, Sz\u00e9chenyi Istv\u00e1n University, Gy\u0151r, Hungary"],"affiliations":[{"raw_affiliation_string":"Centre of Excellence in Production Informatics and Control, Institute for Computer Science and Control (SZTAKI), Kende u. 13-17, 1111, Budapest, Hungary","institution_ids":["https://openalex.org/I4210117195"]},{"raw_affiliation_string":"Department of Manufacturing Science and Engineering, Budapest University of Technology and Economics, M\u0171egyetem rkp. 3, 1111, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"Research Center of Vehicle Industry, Sz\u00e9chenyi Istv\u00e1n University, Gy\u0151r, Hungary","institution_ids":["https://openalex.org/I83579964"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071990214"],"corresponding_institution_ids":["https://openalex.org/I29770179","https://openalex.org/I4210143651"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.3875,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.88474096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"1","first_page":"331","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10700","display_name":"Metal Forming Simulation Techniques","score":0.9998000264167786,"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/T10700","display_name":"Metal Forming Simulation Techniques","score":0.9998000264167786,"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/T11201","display_name":"Metallurgy and Material Forming","score":0.9958000183105469,"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/T13965","display_name":"Laser and Thermal Forming Techniques","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/incremental-sheet-forming","display_name":"Incremental sheet forming","score":0.6165047883987427},{"id":"https://openalex.org/keywords/forming-processes","display_name":"Forming processes","score":0.5977151989936829},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5175989866256714},{"id":"https://openalex.org/keywords/sheet-metal","display_name":"Sheet metal","score":0.5150513648986816},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.49840807914733887},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.47950035333633423},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47373974323272705},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47052159905433655},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.45999228954315186},{"id":"https://openalex.org/keywords/deep-drawing","display_name":"Deep drawing","score":0.43593576550483704},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.41814321279525757},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.41001254320144653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33684873580932617},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.3335888981819153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2916294038295746},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.26221519708633423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.128741055727005}],"concepts":[{"id":"https://openalex.org/C2777190053","wikidata":"https://www.wikidata.org/wiki/Q6015481","display_name":"Incremental sheet forming","level":3,"score":0.6165047883987427},{"id":"https://openalex.org/C139321929","wikidata":"https://www.wikidata.org/wiki/Q1363994","display_name":"Forming processes","level":2,"score":0.5977151989936829},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5175989866256714},{"id":"https://openalex.org/C2779747408","wikidata":"https://www.wikidata.org/wiki/Q211367","display_name":"Sheet metal","level":2,"score":0.5150513648986816},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.49840807914733887},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.47950035333633423},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47373974323272705},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47052159905433655},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.45999228954315186},{"id":"https://openalex.org/C2781031896","wikidata":"https://www.wikidata.org/wiki/Q1068711","display_name":"Deep drawing","level":2,"score":0.43593576550483704},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.41814321279525757},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.41001254320144653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33684873580932617},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.3335888981819153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2916294038295746},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.26221519708633423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.128741055727005},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10845-022-02026-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-02026-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-02026-8.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:eprints.sztaki.hu:10506","is_oa":true,"landing_page_url":"https://eprints.sztaki.hu/10506/","pdf_url":"https://eprints.sztaki.hu/10506/1/Najm_331_33202857_ny.pdf","source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:RePEc:spr:joinma:v:34:y:2023:i:1:d:10.1007_s10845-022-02026-8","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-022-02026-8","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/s10845-022-02026-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-02026-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-02026-8.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","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G3241820797","display_name":null,"funder_award_id":"RRF-2.3.1-21-2022-00004","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3252589487","display_name":null,"funder_award_id":"TKP2020-NKA-14","funder_id":"https://openalex.org/F4320327742","funder_display_name":"Sz\u00e9chenyi Istv\u00e1n Egyetem"},{"id":"https://openalex.org/G4368342600","display_name":null,"funder_award_id":"TKP2020","funder_id":"https://openalex.org/F4320311358","funder_display_name":"Budapesti M\u0171szaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem"},{"id":"https://openalex.org/G4627546747","display_name":null,"funder_award_id":"P2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320311358","display_name":"Budapesti M\u0171szaki \u00e9s Gazdas\u00e1gtudom\u00e1nyi Egyetem","ror":"https://ror.org/02w42ss30"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320327742","display_name":"Sz\u00e9chenyi Istv\u00e1n Egyetem","ror":"https://ror.org/04091f946"},{"id":"https://openalex.org/F4320328228","display_name":"Tempus K\u00f6zalap\u00edtv\u00e1ny","ror":"https://ror.org/053mvwx19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306680260.pdf","grobid_xml":"https://content.openalex.org/works/W4306680260.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W314652056","https://openalex.org/W757098608","https://openalex.org/W1586335931","https://openalex.org/W1787224781","https://openalex.org/W1833005471","https://openalex.org/W1978618432","https://openalex.org/W1988490711","https://openalex.org/W1995975937","https://openalex.org/W2016195329","https://openalex.org/W2036644827","https://openalex.org/W2039255771","https://openalex.org/W2042764929","https://openalex.org/W2050845255","https://openalex.org/W2055750954","https://openalex.org/W2062354151","https://openalex.org/W2062729141","https://openalex.org/W2064408828","https://openalex.org/W2064577755","https://openalex.org/W2066208282","https://openalex.org/W2070177440","https://openalex.org/W2072693766","https://openalex.org/W2091140245","https://openalex.org/W2106100979","https://openalex.org/W2106260709","https://openalex.org/W2111939944","https://openalex.org/W2114654351","https://openalex.org/W2115799279","https://openalex.org/W2129888542","https://openalex.org/W2141672845","https://openalex.org/W2159170558","https://openalex.org/W2165510111","https://openalex.org/W2169630701","https://openalex.org/W2273824830","https://openalex.org/W2282821441","https://openalex.org/W2395681668","https://openalex.org/W2520768038","https://openalex.org/W2550620206","https://openalex.org/W2553252347","https://openalex.org/W2566379113","https://openalex.org/W2597211816","https://openalex.org/W2616514902","https://openalex.org/W2618851150","https://openalex.org/W2727763628","https://openalex.org/W2798476254","https://openalex.org/W2800994644","https://openalex.org/W2903522754","https://openalex.org/W2951951916","https://openalex.org/W2970336836","https://openalex.org/W2970966207","https://openalex.org/W2980820961","https://openalex.org/W2994061244","https://openalex.org/W2999905431","https://openalex.org/W3036699444","https://openalex.org/W3075785064","https://openalex.org/W3094873903","https://openalex.org/W3101440625","https://openalex.org/W3134229591","https://openalex.org/W3137939401","https://openalex.org/W3142295572","https://openalex.org/W3153224544","https://openalex.org/W3169366506","https://openalex.org/W3173297848","https://openalex.org/W3185714256","https://openalex.org/W3194254965","https://openalex.org/W3195128363","https://openalex.org/W3197284071","https://openalex.org/W3208769878","https://openalex.org/W3217018074","https://openalex.org/W4205727349","https://openalex.org/W4205879226","https://openalex.org/W4225588474","https://openalex.org/W4231737081","https://openalex.org/W4244059895","https://openalex.org/W4252404991","https://openalex.org/W4388297464","https://openalex.org/W6638473186","https://openalex.org/W6675354045","https://openalex.org/W6677809728"],"related_works":["https://openalex.org/W2549723592","https://openalex.org/W1973780678","https://openalex.org/W3004136478","https://openalex.org/W2588214537","https://openalex.org/W2084154883","https://openalex.org/W1634555994","https://openalex.org/W1965392662","https://openalex.org/W2391677643","https://openalex.org/W2351168062","https://openalex.org/W2133040683"],"abstract_inverted_index":{"Abstract":[0],"Today":[1],"the":[2,12,44,54,72,86,126,129,154,180,192,195,238,243,254,262,265,272,275,287,293,320,332,348,354,358,365,378,395,403,410,413,420,439,444,449,460,471,478,481,498],"topic":[3],"of":[4,11,16,43,71,128,134,160,163,176,182,194,212,229,240,256,264,274,328,360,367,380,405,412,422,462,473,480,489,497],"incremental":[5,38,361],"sheet":[6,17,29,58,82],"forming":[7,19,30,39,83,135,362],"(ISF)":[8],"is":[9,41,69],"one":[10,42,70],"most":[13,45,445],"active":[14],"areas":[15],"metal":[18],"research.":[20],"ISF":[21,52],"can":[22],"be":[23,104],"an":[24,123],"essential":[25],"alternative":[26],"to":[27,56,96,106,171,190,252,260,292,300,318,345,376,393],"conventional":[28],"for":[31,236,331,466],"prototypes":[32],"or":[33],"non-mass":[34],"products.":[35,59],"Single":[36],"point":[37],"(SPIF)":[40],"innovative":[46],"and":[47,90,114,132,143,148,157,225,234,259,268,278,306,324,336,350,386,407,415,418,424,452,464,469,475,491],"widely":[48],"used":[49,189,233,317,375],"fields":[50],"in":[51,85,179,307,357,409,447,459,470,477],"with":[53,111,398,455],"potential":[55],"form":[57],"The":[60,150],"formed":[61,206],"components":[62,162],"by":[63,217],"SPIF":[64,76,109,161,213,329],"lack":[65],"geometric":[66],"accuracy,":[67],"which":[68],"obstacles":[73],"that":[74,198],"prevents":[75],"from":[77,203],"being":[78],"adopted":[79,251],"as":[80],"a":[81,108,173,308],"process":[84,101,177,210],"industry.":[87],"Pillow":[88],"effect":[89,156,239,267,277,335,385,454],"wall":[91,158,269,279,337,387,396,450,467,499],"displacement":[92],"are":[93],"influential":[94],"contributors":[95],"manufacturing":[97],"defects.":[98,116],"Thus,":[99],"optimal":[100],"parameters":[102,241,330,382],"should":[103],"selected":[105],"produce":[107,172],"component":[110],"sufficient":[112],"quality":[113,255],"without":[115],"In":[117,169],"this":[118,120,183],"context,":[119],"study":[121,175],"presents":[122],"insight":[124],"into":[125],"effects":[127],"different":[130,185,209,227,436],"materials":[131],"shapes":[133],"tools,":[136],"tool":[137,140,144],"head":[138],"diameters,":[139],"corner":[141],"radiuses,":[142],"surface":[145],"roughness":[146],"(Ra":[147],"Rz).":[149],"studied":[151],"factors":[152,244],"include":[153],"pillow":[155,266,276,334,384,428,453,482],"diameter":[159,388,397,451,468],"AlMn1Mg1":[164],"aluminum":[165],"alloy":[166],"blank":[167],"sheets.":[168],"order":[170],"well-established":[174],"parameters,":[178],"scope":[181],"paper":[184],"modeling":[186],"tools":[187],"were":[188,214,232,250,283],"predict":[191,261,394],"outcomes":[193],"process.":[196],"For":[197,271,353],"purpose,":[199],"actual":[200,349],"data":[201],"collected":[202],"108":[204],"experimentally":[205],"parts":[207],"under":[208,245],"conditions":[211],"used.":[215],"Neuron":[216,218],"(NBN),":[219],"Gradient":[220],"Boosting":[221],"Regression":[222],"(GBR),":[223],"CatBoost,":[224],"two":[226,281],"structures":[228],"Multilayer":[230],"Perceptron":[231],"analyzed":[235],"studying":[237],"on":[242,286,383,435],"scrutiny.":[246],"Different":[247,311],"validation":[248,437],"metrics":[249],"determine":[253,319],"each":[257],"model":[258],"impact":[263,379],"diameter.":[270,338,500],"calculation":[273],"diameter,":[280],"equations":[282,297],"developed":[284],"based":[285],"research":[288],"parameters.":[289],"As":[290],"opposed":[291],"experimental":[294],"approach,":[295],"analytical":[296],"help":[298],"researchers":[299],"estimate":[301],"results":[302,487],"values":[303,401,458],"relatively":[304],"speedily":[305],"feasible":[309],"way.":[310],"partitioning":[312],"weight":[313],"methods":[314],"have":[315],"been":[316,343],"relative":[321],"importance":[322,327],"(RI)":[323],"individual":[325,381],"feature":[326],"expected":[333],"A":[339],"close":[340],"relationship":[341],"has":[342,485],"identified":[344],"exist":[346],"between":[347,402,419],"predicted":[351],"results.":[352],"first":[355],"time":[356],"field":[359],"study,":[363],"through":[364],"construction":[366],"Catboost":[368],"models,":[369],"SHapley":[370],"Additive":[371],"exPlanations":[372],"(SHAP)":[373],"was":[374,391,431],"ascertain":[377],"predictions.":[389],"CatBoost":[390],"able":[392],"R":[399,456],"2":[400,457],"range":[404,421,461,472],"0.9714":[406],"0.8947":[408],"case":[411,479],"training":[414,441],"testing":[416],"dataset,":[417],"0.6062":[423],"0.6406":[425],"when":[426],"predicting":[427,448],"effect.":[429,483],"It":[430],"discovered":[432],"that,":[433],"depending":[434],"metrics,":[438],"Levenberg\u2013Marquardt":[440],"algorithm":[442],"performed":[443],"effectively":[446],"0.9645":[463],"0.9082":[465],"0.7506":[474],"0.7129":[476],"NBN":[484],"no":[486],"worthy":[488],"mentioning,":[490],"GBR":[492],"yields":[493],"good":[494],"prediction":[495],"only":[496]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
