{"id":"https://openalex.org/W4229037925","doi":"https://doi.org/10.1007/s10845-022-01938-9","title":"Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy","display_name":"Hybrid prediction-optimization approaches for maximizing parts density in SLM of Ti6Al4V titanium alloy","publication_year":2022,"publication_date":"2022-04-16","ids":{"openalex":"https://openalex.org/W4229037925","doi":"https://doi.org/10.1007/s10845-022-01938-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-022-01938-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01938-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01938-9.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/s10845-022-01938-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006439389","display_name":"Ant\u00f3nio Costa","orcid":"https://orcid.org/0000-0001-9284-0098"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Costa","raw_affiliation_strings":["DICAR Department, University of Catania, Viale Andrea Doria 6, 9515, Catania, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DICAR Department, University of Catania, Viale Andrea Doria 6, 9515, Catania, Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021260170","display_name":"Gianluca Buffa","orcid":"https://orcid.org/0000-0002-5247-0747"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"G. Buffa","raw_affiliation_strings":["Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5247-0747","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064354592","display_name":"Dina Palmeri","orcid":"https://orcid.org/0000-0002-8712-2988"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"D. Palmeri","raw_affiliation_strings":["Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047137951","display_name":"Gaetano Pollara","orcid":"https://orcid.org/0000-0002-9009-8923"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"G. Pollara","raw_affiliation_strings":["Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049085823","display_name":"Livan Fratini","orcid":"https://orcid.org/0000-0002-1059-2850"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Fratini","raw_affiliation_strings":["Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Palermo, Viale delle Scienze, 90128, Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021260170"],"corresponding_institution_ids":["https://openalex.org/I900890020"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.6802,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.90516139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"7","first_page":"1967","last_page":"1989"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9998999834060669,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9998999834060669,"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9994000196456909,"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":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selective-laser-melting","display_name":"Selective laser melting","score":0.8637771606445312},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6163727045059204},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5611767768859863},{"id":"https://openalex.org/keywords/design-of-experiments","display_name":"Design of experiments","score":0.4700452387332916},{"id":"https://openalex.org/keywords/process-optimization","display_name":"Process optimization","score":0.45470696687698364},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4347940683364868},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.434331476688385},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43357154726982117},{"id":"https://openalex.org/keywords/titanium-alloy","display_name":"Titanium alloy","score":0.42314839363098145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40007737278938293},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.32335445284843445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25216150283813477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17587316036224365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16298553347587585},{"id":"https://openalex.org/keywords/alloy","display_name":"Alloy","score":0.13949453830718994}],"concepts":[{"id":"https://openalex.org/C26796778","wikidata":"https://www.wikidata.org/wiki/Q2267983","display_name":"Selective laser melting","level":3,"score":0.8637771606445312},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6163727045059204},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5611767768859863},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.4700452387332916},{"id":"https://openalex.org/C115952470","wikidata":"https://www.wikidata.org/wiki/Q332172","display_name":"Process optimization","level":2,"score":0.45470696687698364},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4347940683364868},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.434331476688385},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43357154726982117},{"id":"https://openalex.org/C8953137","wikidata":"https://www.wikidata.org/wiki/Q3300719","display_name":"Titanium alloy","level":3,"score":0.42314839363098145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40007737278938293},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32335445284843445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25216150283813477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17587316036224365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16298553347587585},{"id":"https://openalex.org/C2780026712","wikidata":"https://www.wikidata.org/wiki/Q37756","display_name":"Alloy","level":2,"score":0.13949453830718994},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"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/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"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/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10845-022-01938-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01938-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01938-9.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_s10845-022-01938-9","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-022-01938-9","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:iris.unipa.it:10447/550369","is_oa":true,"landing_page_url":"http://hdl.handle.net/10447/550369","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","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":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10845-022-01938-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-022-01938-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-022-01938-9.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/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229037925.pdf","grobid_xml":"https://content.openalex.org/works/W4229037925.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W46880366","https://openalex.org/W159436435","https://openalex.org/W587588427","https://openalex.org/W947063803","https://openalex.org/W1602740539","https://openalex.org/W1608227909","https://openalex.org/W1835176610","https://openalex.org/W1967573487","https://openalex.org/W1969566657","https://openalex.org/W1986834168","https://openalex.org/W1993885071","https://openalex.org/W2000515020","https://openalex.org/W2000787659","https://openalex.org/W2003110013","https://openalex.org/W2005588691","https://openalex.org/W2014521333","https://openalex.org/W2018516981","https://openalex.org/W2023381719","https://openalex.org/W2027137968","https://openalex.org/W2041004593","https://openalex.org/W2041724917","https://openalex.org/W2078169166","https://openalex.org/W2089855610","https://openalex.org/W2098459033","https://openalex.org/W2108272642","https://openalex.org/W2134654456","https://openalex.org/W2152195021","https://openalex.org/W2163605009","https://openalex.org/W2296421107","https://openalex.org/W2317800347","https://openalex.org/W2398546056","https://openalex.org/W2408619629","https://openalex.org/W2503161491","https://openalex.org/W2543580944","https://openalex.org/W2570059952","https://openalex.org/W2585667895","https://openalex.org/W2597799215","https://openalex.org/W2604272474","https://openalex.org/W2614911675","https://openalex.org/W2758160981","https://openalex.org/W2762367303","https://openalex.org/W2767302379","https://openalex.org/W2767609921","https://openalex.org/W2783433747","https://openalex.org/W2791687599","https://openalex.org/W2891113026","https://openalex.org/W2897913576","https://openalex.org/W2914718320","https://openalex.org/W2922180196","https://openalex.org/W2938696073","https://openalex.org/W2956046114","https://openalex.org/W2976693703","https://openalex.org/W3004323929","https://openalex.org/W3016989108","https://openalex.org/W3020008350","https://openalex.org/W3035215415","https://openalex.org/W3039979032","https://openalex.org/W3049618663","https://openalex.org/W3120063359","https://openalex.org/W3121721182","https://openalex.org/W3132694399","https://openalex.org/W3153978857","https://openalex.org/W3155785273","https://openalex.org/W3183539415","https://openalex.org/W4250664506","https://openalex.org/W4301173492","https://openalex.org/W6635924533","https://openalex.org/W6637705363"],"related_works":["https://openalex.org/W3061217114","https://openalex.org/W2889937250","https://openalex.org/W4376117233","https://openalex.org/W2192772080","https://openalex.org/W2523501139","https://openalex.org/W2182308369","https://openalex.org/W2512246015","https://openalex.org/W3090541748","https://openalex.org/W4309152909","https://openalex.org/W2108949301"],"abstract_inverted_index":{"Abstract":[0],"It":[1],"is":[2,28],"well":[3],"known":[4],"that":[5],"the":[6,21,25,32,45,60,66,70,73,79,86,95,111,172,187,190,201,204,212,215,223],"processing":[7,216],"parameters":[8,53,75,81,129],"of":[9,20,52,72,89,97,114,124,158,178,206,214],"selective":[10],"laser":[11],"melting":[12],"(SLM)":[13],"highly":[14],"influence":[15,71,213],"mechanical":[16],"and":[17,76,100,144,218],"physical":[18],"properties":[19,57,88],"manufactured":[22,117],"parts.":[23],"Also,":[24,195],"energy":[26,47],"density":[27,48,113],"insufficient":[29],"to":[30,68,77,84,185,210],"detect":[31],"process":[33,74,128],"window":[34],"for":[35,109,133],"producing":[36],"full":[37],"dense":[38],"components.":[39],"In":[40,63,102],"fact,":[41],"parts":[42,91,118],"produced":[43],"with":[44,171],"same":[46],"but":[49],"different":[50,56,105],"combinations":[51],"may":[54],"present":[55],"even":[58],"under":[59],"microstructural":[61],"viewpoint.":[62],"this":[64,103,162],"context,":[65],"need":[67],"assess":[69],"select":[78],"best":[80],"set":[82],"able":[83],"optimize":[85],"final":[87],"SLM":[90,116],"has":[92,130,153,181],"been":[93,131,154,169,182],"capturing":[94],"attention":[96],"both":[98],"academics":[99],"practitioners.":[101],"paper":[104],"hybrid":[106,192],"prediction-optimization":[107],"approaches":[108],"maximizing":[110],"relative":[112],"Ti6Al4V":[115],"are":[119],"proposed.":[120],"An":[121],"extended":[122],"design":[123],"experiments":[125],"involving":[126],"six":[127],"configured":[132],"constructing":[134],"two":[135],"surrogate":[136],"models":[137],"based":[138,199],"on":[139,200,222],"response":[140],"surface":[141],"methodology":[142],"(RSM)":[143],"artificial":[145],"neural":[146],"network":[147],"(ANN),":[148],"respectively.":[149],"The":[150],"optimization":[151,193],"phase":[152],"performed":[155],"by":[156],"means":[157],"evolutionary":[159],"computations.":[160],"To":[161],"end,":[163],"three":[164],"nature-inspired":[165],"metaheuristic":[166],"algorithms":[167],"have":[168],"integrated":[170],"prediction":[173],"modelling":[174],"structures.":[175],"A":[176],"series":[177],"experimental":[179],"tests":[180],"carried":[183],"out":[184],"validate":[186],"results":[188,202],"from":[189,203],"proposed":[191],"procedures.":[194],"a":[196],"sensitivity":[197],"analysis":[198,205],"variance":[207],"was":[208],"executed":[209],"evaluate":[211],"parameter":[217],"their":[219],"reciprocal":[220],"interactions":[221],"part":[224],"porosity.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2022-05-08T00:00:00"}
