{"id":"https://openalex.org/W4378363990","doi":"https://doi.org/10.3233/jifs-224448","title":"Optimization of laser spiral welding using Response surface methodology and genetic algorithms","display_name":"Optimization of laser spiral welding using Response surface methodology and genetic algorithms","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4378363990","doi":"https://doi.org/10.3233/jifs-224448"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224448","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224448","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101803493","display_name":"Bin Zhou","orcid":"https://orcid.org/0000-0003-4245-0694"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhou","raw_affiliation_strings":["School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052575128","display_name":"Jieshi Chen","orcid":"https://orcid.org/0000-0002-5891-496X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieshi Chen","raw_affiliation_strings":["School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, People\u2019s Republic of China","School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354683","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-4170-4798"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102991798","display_name":"Shanglei Yang","orcid":"https://orcid.org/0000-0003-2190-9267"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanglei Yang","raw_affiliation_strings":["School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai University of Engineering Science, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030963442","display_name":"Hao L\u00fc","orcid":"https://orcid.org/0000-0003-2953-9491"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Lu","raw_affiliation_strings":["School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, People\u2019s Republic of China","E-mail:"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052575128"],"corresponding_institution_ids":["https://openalex.org/I141962983","https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.3384,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51243944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"45","issue":"2","first_page":"2381","last_page":"2392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":1.0,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":1.0,"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/T10723","display_name":"Advanced Welding Techniques Analysis","score":0.9991000294685364,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9980999827384949,"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/welding","display_name":"Welding","score":0.7876067161560059},{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"Response surface methodology","score":0.7312611937522888},{"id":"https://openalex.org/keywords/galvanization","display_name":"Galvanization","score":0.5576971173286438},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5321903228759766},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5226007103919983},{"id":"https://openalex.org/keywords/spiral","display_name":"Spiral (railway)","score":0.511749267578125},{"id":"https://openalex.org/keywords/laser-power-scaling","display_name":"Laser power scaling","score":0.5037261843681335},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49913763999938965},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4794127643108368},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4787418246269226},{"id":"https://openalex.org/keywords/laser-beam-welding","display_name":"Laser beam welding","score":0.4460137188434601},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.4021323323249817},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.3811262249946594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.372112512588501},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.34680137038230896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31041792035102844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17435821890830994},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1740483045578003},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14794954657554626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12392064929008484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08627411723136902},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06758323311805725}],"concepts":[{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.7876067161560059},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.7312611937522888},{"id":"https://openalex.org/C8846229","wikidata":"https://www.wikidata.org/wiki/Q690418","display_name":"Galvanization","level":3,"score":0.5576971173286438},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5321903228759766},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5226007103919983},{"id":"https://openalex.org/C174128100","wikidata":"https://www.wikidata.org/wiki/Q846907","display_name":"Spiral (railway)","level":2,"score":0.511749267578125},{"id":"https://openalex.org/C200649887","wikidata":"https://www.wikidata.org/wiki/Q17154544","display_name":"Laser power scaling","level":3,"score":0.5037261843681335},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49913763999938965},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4794127643108368},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4787418246269226},{"id":"https://openalex.org/C89344249","wikidata":"https://www.wikidata.org/wiki/Q937468","display_name":"Laser beam welding","level":3,"score":0.4460137188434601},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.4021323323249817},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.3811262249946594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.372112512588501},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.34680137038230896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31041792035102844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17435821890830994},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1740483045578003},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14794954657554626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12392064929008484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08627411723136902},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06758323311805725},{"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/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224448","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224448","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1650561570","https://openalex.org/W1968919645","https://openalex.org/W1981472150","https://openalex.org/W1982547738","https://openalex.org/W1985390702","https://openalex.org/W1988758821","https://openalex.org/W1998108927","https://openalex.org/W1998499590","https://openalex.org/W2012497057","https://openalex.org/W2045950788","https://openalex.org/W2046010367","https://openalex.org/W2052455215","https://openalex.org/W2052665504","https://openalex.org/W2076347668","https://openalex.org/W2086933771","https://openalex.org/W2089275293","https://openalex.org/W2111274283","https://openalex.org/W2143380579","https://openalex.org/W2531104711","https://openalex.org/W2791215374","https://openalex.org/W2804350042","https://openalex.org/W2951370555","https://openalex.org/W3186892105","https://openalex.org/W3199985841","https://openalex.org/W4210970384","https://openalex.org/W4220695417","https://openalex.org/W4253843412","https://openalex.org/W4293915622","https://openalex.org/W4310065774","https://openalex.org/W6808260944"],"related_works":["https://openalex.org/W2467520561","https://openalex.org/W4250005770","https://openalex.org/W3171271620","https://openalex.org/W4253977039","https://openalex.org/W4252783684","https://openalex.org/W2341883985","https://openalex.org/W2357763477","https://openalex.org/W2994465681","https://openalex.org/W4390927650","https://openalex.org/W3021549195"],"abstract_inverted_index":{"In":[0,18,93,146],"the":[1,7,15,34,53,61,79,90,94,100,107,113,120,125,131,136,144,147,178,182,190,198,217,222,227,238],"laser":[2,101],"spiral":[3],"welding":[4,8,70,114,191],"(LSW)":[5],"process,":[6,36],"parameters":[9],"have":[10],"a":[11,152,167,211],"significant":[12,141],"impact":[13],"on":[14,29,60,143,174],"weld":[16,62,108,121,218],"quality.":[17],"this":[19],"paper,":[20],"experiments":[21,171],"were":[22,27,40,76,172],"conducted":[23,173],"and":[24,37,47,63,73,82,87,110,123,135,163,177,193,210],"experimental":[25,156],"data":[26,157],"collected":[28],"galvanized":[30],"steel":[31],"sheets":[32],"using":[33,42,166],"LSW":[35,239],"mathematical":[38],"models":[39,184],"developed":[41],"response":[43],"surface":[44],"methodology":[45],"(RSM)":[46],"genetic":[48,168],"algorithm":[49],"(GA)":[50],"to":[51,64,196,226],"verify":[52],"specific":[54],"effects":[55],"of":[56,133,155,216],"each":[57],"process":[58,66,224],"parameter":[59],"perform":[65],"optimization.":[67],"Laser":[68],"power,":[69],"speed,":[71],"gap":[72,126],"focal":[74,137],"length":[75,138],"selected":[77],"as":[78,89],"influencing":[80],"factors,":[81],"melt":[83,85],"depth,":[84],"width":[86,194],"concave":[88],"output":[91],"results.":[92],"RSM":[95,228],"model":[96,149,202,232],"we":[97,150],"found":[98],"that":[99,181],"power":[102],"was":[103,116,127],"positively":[104,128],"correlated":[105,118,129],"with":[106,119,130],"depth":[109,122,192],"width,":[111,124],"while":[112],"speed":[115],"inversely":[117],"amount":[132,154],"concave,":[134],"had":[139,185,203],"no":[140],"effect":[142],"weld.":[145],"GA":[148,201,231],"use":[151],"large":[153],"for":[158],"BP":[159],"neural":[160],"network":[161],"training":[162],"iterative":[164],"optimization":[165],"algorithm.":[169],"Validation":[170],"two":[175,183],"models,":[176],"results":[179],"indicated":[180],"higher":[186,234],"accuracy":[187,235],"in":[188,207,214,236],"predicting":[189,197],"compared":[195,225],"concave.":[199],"The":[200,230],"an":[204],"8%":[205],"increase":[206,213],"tensile":[208],"strength":[209],"25%":[212],"plasticity":[215],"joint":[219],"obtained":[220],"from":[221],"optimal":[223],"model.":[229],"has":[233],"optimizing":[237],"process.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}