{"id":"https://openalex.org/W4414816288","doi":"https://doi.org/10.32604/cmc.2025.069565","title":"The Flow Behavior Investigation of 5754 Aluminum Alloy Based on ACO-BP-ANN","display_name":"The Flow Behavior Investigation of 5754 Aluminum Alloy Based on ACO-BP-ANN","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414816288","doi":"https://doi.org/10.32604/cmc.2025.069565"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.069565","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069565","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.069565","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076446190","display_name":"Fengjuan Ding","orcid":"https://orcid.org/0000-0001-8693-3626"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fengjuan Ding","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119843687","display_name":"Lu Suo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu Suo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027825711","display_name":"Tengjiao Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tengjiao Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112866242","display_name":"Fulong Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fulong Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101871405","display_name":"Dong Huang","orcid":"https://orcid.org/0000-0003-2480-9827"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Huang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076446190"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36385383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"3","first_page":"4551","last_page":"4570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.4129999876022339,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.4129999876022339,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.4083000123500824,"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/T14156","display_name":"Engineering Applied Research","score":0.3781999945640564,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/constitutive-equation","display_name":"Constitutive equation","score":0.7667999863624573},{"id":"https://openalex.org/keywords/flow-stress","display_name":"Flow stress","score":0.6288999915122986},{"id":"https://openalex.org/keywords/deformation","display_name":"Deformation (meteorology)","score":0.6132000088691711},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5559999942779541},{"id":"https://openalex.org/keywords/alloy","display_name":"Alloy","score":0.5503000020980835},{"id":"https://openalex.org/keywords/strain-rate","display_name":"Strain rate","score":0.47839999198913574},{"id":"https://openalex.org/keywords/aluminium","display_name":"Aluminium","score":0.4684999883174896},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4580000042915344},{"id":"https://openalex.org/keywords/plasticity","display_name":"Plasticity","score":0.4575999975204468}],"concepts":[{"id":"https://openalex.org/C202973686","wikidata":"https://www.wikidata.org/wiki/Q1937401","display_name":"Constitutive equation","level":3,"score":0.7667999863624573},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.6942999958992004},{"id":"https://openalex.org/C162611839","wikidata":"https://www.wikidata.org/wiki/Q912214","display_name":"Flow stress","level":3,"score":0.6288999915122986},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.6132000088691711},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C2780026712","wikidata":"https://www.wikidata.org/wiki/Q37756","display_name":"Alloy","level":2,"score":0.5503000020980835},{"id":"https://openalex.org/C149342994","wikidata":"https://www.wikidata.org/wiki/Q3181055","display_name":"Strain rate","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C513153333","wikidata":"https://www.wikidata.org/wiki/Q663","display_name":"Aluminium","level":2,"score":0.4684999883174896},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4580000042915344},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C112950240","wikidata":"https://www.wikidata.org/wiki/Q76005","display_name":"Ultimate tensile strength","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.32600000500679016},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.3100999891757965},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.296099990606308},{"id":"https://openalex.org/C182508753","wikidata":"https://www.wikidata.org/wiki/Q115605","display_name":"Tensile testing","level":3,"score":0.2879999876022339},{"id":"https://openalex.org/C2779821118","wikidata":"https://www.wikidata.org/wiki/Q447725","display_name":"Aluminium alloy","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C2778022156","wikidata":"https://www.wikidata.org/wiki/Q576145","display_name":"Strain (injury)","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.069565","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069565","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.069565","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069565","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2606137257","https://openalex.org/W2747039497","https://openalex.org/W2804083182","https://openalex.org/W2993237483","https://openalex.org/W3034870042","https://openalex.org/W4229445458","https://openalex.org/W4379644310","https://openalex.org/W4384700796","https://openalex.org/W4390955720","https://openalex.org/W4401223906","https://openalex.org/W4405175743","https://openalex.org/W4405556691","https://openalex.org/W4407894610","https://openalex.org/W4408598528","https://openalex.org/W4409414753"],"related_works":[],"abstract_inverted_index":{"The":[0,188],"complex":[1],"phenomena":[2],"that":[3,192],"occur":[4],"during":[5],"the":[6,27,38,98,111,118,131,134,143,150,153,157,160,166,169,175,179,193,201],"plastic":[7,82],"deformation":[8,87,91,123],"process":[9],"of":[10,29,43,100,110,121,156,168,200],"aluminum":[11,66],"alloys,":[12],"such":[13],"as":[14,90],"strain":[15,93],"rate":[16],"hardening,":[17],"dynamic":[18],"recovery,":[19],"recrystallization,":[20],"and":[21,32,46,95,149,159,185,197],"damage":[22],"evolution,":[23],"can":[24],"significantly":[25,210],"affect":[26],"properties":[28],"these":[30,44],"alloys":[31],"limit":[33],"their":[34],"applications.":[35],"Therefore,":[36],"studying":[37],"high-temperature":[39,76],"flow":[40,83,126],"stress":[41],"characteristics":[42],"materials":[45],"developing":[47],"accurate":[48],"constitutive":[49,108,147,206],"models":[50,171],"has":[51],"significant":[52],"scientific":[53],"research":[54,189],"value.":[55],"In":[56],"this":[57],"study,":[58],"quasi-static":[59],"tensile":[60],"tests":[61],"were":[62],"conducted":[63],"on":[64,125],"5754":[65],"alloy":[67,112],"using":[68],"an":[69],"electronic":[70],"testing":[71],"machine":[72],"combined":[73],"with":[74],"a":[75,104],"environmental":[77],"chamber":[78],"to":[79,116,141],"explore":[80],"its":[81],"behavior":[84],"under":[85],"main":[86,122],"parameters":[88,124],"(such":[89],"temperatures,":[92],"rates,":[94],"strain).":[96],"On":[97],"basis":[99],"true":[101],"strain-stress":[102],"data,":[103],"BP":[105,144,203],"neural":[106,145,204],"network":[107,146,205],"model":[109,132,158,207],"was":[113,172],"built,":[114],"aiming":[115],"reveal":[117],"influence":[119],"laws":[120],"stress.":[127],"To":[128],"further":[129],"improve":[130],"performance,":[133],"ant":[135],"colony":[136],"optimization":[137],"algorithm":[138],"is":[139,163],"introduced":[140],"optimize":[142],"model,":[148],"relationship":[151],"between":[152],"prediction":[154,194],"stability":[155],"parameter":[161],"settings":[162],"explored.":[164],"Furthermore,":[165],"predictability":[167],"two":[170],"evaluated":[173],"by":[174],"statistical":[176],"indicators,":[177],"including":[178],"correlation":[180],"coefficient":[181],"(R2),":[182],"RMSE,":[183],"MAE,":[184],"confidence":[186],"intervals.":[187],"results":[190],"indicate":[191],"accuracy,":[195],"stability,":[196],"generalization":[198],"ability":[199],"optimized":[202],"have":[208],"been":[209],"enhanced.":[211]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}