{"id":"https://openalex.org/W7130644652","doi":"https://doi.org/10.1177/09544062261422000","title":"Shape optimization of a centrifugal blood pump impeller using an adaptive neuro-fuzzy inference system and genetic algorithm","display_name":"Shape optimization of a centrifugal blood pump impeller using an adaptive neuro-fuzzy inference system and genetic algorithm","publication_year":2026,"publication_date":"2026-02-20","ids":{"openalex":"https://openalex.org/W7130644652","doi":"https://doi.org/10.1177/09544062261422000"},"language":"en","primary_location":{"id":"doi:10.1177/09544062261422000","doi":"https://doi.org/10.1177/09544062261422000","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09544062261422000","pdf_url":null,"source":{"id":"https://openalex.org/S164426212","display_name":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","issn_l":"0263-7154","issn":["0263-7154","0954-4062","2041-2983","2058-3397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5083200644","display_name":"Ahmet \u00d6nder","orcid":"https://orcid.org/0000-0001-8419-6896","observed_orcids":["https://orcid.org/0000-0001-8419-6896"]},"institutions":[{"id":"https://openalex.org/I4210117254","display_name":"Konya Technical University","ror":"https://ror.org/02s82rs08","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210117254"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ahmet Onder","raw_affiliation_strings":["Technical Sciences Vocational School, Mechanical and Metal Technologies Department, Konya Technical University, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-8419-6896","affiliations":[{"raw_affiliation_string":"Technical Sciences Vocational School, Mechanical and Metal Technologies Department, Konya Technical University, Turkey","institution_ids":["https://openalex.org/I4210117254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038586099","display_name":"Rafet Yap\u0131c\u0131","orcid":"https://orcid.org/0000-0002-1109-7480","observed_orcids":["https://orcid.org/0000-0002-1109-7480"]},"institutions":[{"id":"https://openalex.org/I4210117254","display_name":"Konya Technical University","ror":"https://ror.org/02s82rs08","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210117254"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Rafet Yapici","raw_affiliation_strings":["Faculty of Engineering and Natural Science, Mechanical Engineering Department, Konya Technical University, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Natural Science, Mechanical Engineering Department, Konya Technical University, Turkey","institution_ids":["https://openalex.org/I4210117254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083200644"],"corresponding_institution_ids":["https://openalex.org/I4210117254"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"240","issue":"9","first_page":"2933","last_page":"2943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10675","display_name":"Mechanical Circulatory Support Devices","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10675","display_name":"Mechanical Circulatory Support Devices","score":0.8759999871253967,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.06729999929666519,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11202","display_name":"Cavitation Phenomena in Pumps","score":0.039400000125169754,"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/centrifugal-blood-pump","display_name":"centrifugal blood pump","score":0.9959999918937683},{"id":"https://openalex.org/keywords/shape-optimization","display_name":"shape optimization","score":0.8169999718666077},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"adaptive neuro-fuzzy inference system","score":0.9850000143051147},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9929999709129333},{"id":"https://openalex.org/keywords/left-ventricular-assist-device","display_name":"left ventricular assist device","score":0.9769999980926514},{"id":"https://openalex.org/keywords/hemolysis-index","display_name":"hemolysis index","score":0.9100000262260437},{"id":"https://openalex.org/keywords/hydraulic-efficiency","display_name":"hydraulic efficiency","score":0.9290000200271606},{"id":"https://openalex.org/keywords/pressure-head","display_name":"pressure head","score":0.9819999933242798},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.8500000238418579},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"computational fluid dynamics","score":0.6539999842643738},{"id":"https://openalex.org/keywords/recirculation","display_name":"recirculation","score":0.546999990940094},{"id":"https://openalex.org/keywords/suction-performance","display_name":"suction performance","score":0.8420000076293945}],"concepts":[{"id":"https://openalex.org/C153005164","wikidata":"https://www.wikidata.org/wiki/Q1698700","display_name":"Impeller","level":2,"score":0.9280999898910522},{"id":"https://openalex.org/C166675230","wikidata":"https://www.wikidata.org/wiki/Q627111","display_name":"Centrifugal pump","level":3,"score":0.7702999711036682},{"id":"https://openalex.org/C200398353","wikidata":"https://www.wikidata.org/wiki/Q63973","display_name":"Turbomachinery","level":2,"score":0.5658000111579895},{"id":"https://openalex.org/C27684931","wikidata":"https://www.wikidata.org/wiki/Q41987","display_name":"Specific speed","level":4,"score":0.5353999733924866},{"id":"https://openalex.org/C29513896","wikidata":"https://www.wikidata.org/wiki/Q7489239","display_name":"Shape optimization","level":3,"score":0.4715000092983246},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4415000081062317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4203000068664551},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.4129999876022339},{"id":"https://openalex.org/C198927703","wikidata":"https://www.wikidata.org/wiki/Q4373881","display_name":"Sequential quadratic programming","level":3,"score":0.384799987077713},{"id":"https://openalex.org/C2776132848","wikidata":"https://www.wikidata.org/wiki/Q3045036","display_name":"Blade (archaeology)","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C65120314","wikidata":"https://www.wikidata.org/wiki/Q1640143","display_name":"Hydraulic pump","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C11394606","wikidata":"https://www.wikidata.org/wiki/Q1972552","display_name":"Hydraulic machinery","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.3416000008583069},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C34559072","wikidata":"https://www.wikidata.org/wiki/Q2334061","display_name":"Design of experiments","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C129212681","wikidata":"https://www.wikidata.org/wiki/Q143899","display_name":"Gear pump","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/09544062261422000","doi":"https://doi.org/10.1177/09544062261422000","is_oa":false,"landing_page_url":"https://doi.org/10.1177/09544062261422000","pdf_url":null,"source":{"id":"https://openalex.org/S164426212","display_name":"Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science","issn_l":"0263-7154","issn":["0263-7154","0954-4062","2041-2983","2058-3397"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","norway-1","poland-70","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1974097079","https://openalex.org/W1974567334","https://openalex.org/W2017677859","https://openalex.org/W2019207321","https://openalex.org/W2023325063","https://openalex.org/W2067626478","https://openalex.org/W2127354627","https://openalex.org/W2155018999","https://openalex.org/W2166461509","https://openalex.org/W2183659962","https://openalex.org/W2342166896","https://openalex.org/W2488932622","https://openalex.org/W2523088635","https://openalex.org/W2531330469","https://openalex.org/W2587440947","https://openalex.org/W2617008217","https://openalex.org/W2765645851","https://openalex.org/W2769417467","https://openalex.org/W2826491207","https://openalex.org/W2895039029","https://openalex.org/W2895786060","https://openalex.org/W2896270452","https://openalex.org/W2995813004","https://openalex.org/W3002553687","https://openalex.org/W3116905039","https://openalex.org/W3119614979","https://openalex.org/W3166061616","https://openalex.org/W4200281437","https://openalex.org/W4206085762","https://openalex.org/W4210937888","https://openalex.org/W4246580579","https://openalex.org/W4249517230","https://openalex.org/W4291169683","https://openalex.org/W4295850053","https://openalex.org/W4304775609","https://openalex.org/W4318485330","https://openalex.org/W4319786603","https://openalex.org/W4384700937","https://openalex.org/W4387798846","https://openalex.org/W4393253113","https://openalex.org/W4401820241","https://openalex.org/W4402435776","https://openalex.org/W4403879372","https://openalex.org/W4404054088","https://openalex.org/W4406085343","https://openalex.org/W4411213359"],"related_works":["https://openalex.org/W4402435776","https://openalex.org/W7204005164","https://openalex.org/W2896270452","https://openalex.org/W2895039029","https://openalex.org/W2743159181","https://openalex.org/W3179673904","https://openalex.org/W7222033382","https://openalex.org/W4319786603","https://openalex.org/W2971987365","https://openalex.org/W7133243550"],"abstract_inverted_index":{"Approaches":[0],"commonly":[1],"used":[2],"in":[3,179,185,192],"the":[4,28,40,51,56,65,81,113,157,172,212,220,230,234],"design":[5,17,23,36,57,235],"and":[6,131,148,188,201,226,243],"optimization":[7,46,83,158,228],"of":[8,16,22,35,84,115,223,236],"centrifugal":[9,86,237],"blood":[10,87,238],"pumps,":[11],"based":[12],"on":[13],"manual":[14],"selection":[15],"parameters":[18,153],"or":[19],"systematic":[20],"modification":[21],"configurations,":[24],"aim":[25,48],"to":[26,49,111,139,232],"identify":[27],"best":[29,66],"candidate":[30],"among":[31],"a":[32,60,85,98,116,126,141,176,182,189],"restricted":[33],"set":[34],"points":[37],"rather":[38],"than":[39],"global":[41],"optimum.":[42],"In":[43],"contrast,":[44],"automated":[45,77],"techniques":[47],"reach":[50],"near-global":[52],"optimum":[53],"by":[54,89],"exploring":[55],"space":[58],"from":[59],"broader":[61],"perspective":[62],"while":[63],"identifying":[64],"parameter":[67],"combinations":[68],"with":[69,97,240],"minimal":[70],"human":[71],"intervention.":[72],"This":[73],"study":[74],"presents":[75],"an":[76,91],"procedure":[78],"developed":[79],"for":[80],"blade":[82,166,214],"pump":[88,103],"integrating":[90],"adaptive":[92],"neuro-fuzzy":[93],"inference":[94],"system":[95],"modeling":[96],"genetic":[99],"algorithm.":[100],"A":[101],"baseline":[102,173],"model":[104],"was":[105],"designed":[106],"using":[107,125],"conventional":[108],"turbomachinery":[109],"methods":[110],"meet":[112],"requirements":[114],"left":[117],"ventricular":[118],"assist":[119],"device.":[120],"Geometric":[121],"variations":[122],"were":[123,136,154],"generated":[124],"Latin":[127],"Hypercube":[128],"Sampling":[129],"approach,":[130],"computational":[132],"fluid":[133],"dynamics":[134],"simulations":[135],"carried":[137],"out":[138],"produce":[140],"dataset":[142],"covering":[143],"pressure":[144,180],"head,":[145,181],"hydraulic":[146,186,242],"efficiency,":[147,187],"hemolysis":[149,193,209],"index.":[150,194],"These":[151],"performance":[152],"incorporated":[155],"into":[156],"framework,":[159],"enabling":[160],"simultaneous":[161,221],"evaluation.":[162],"The":[163,216],"optimized":[164],"impeller":[165,213],"geometry":[167],"demonstrated":[168],"notable":[169],"improvements":[170],"over":[171],"pump,":[174],"including":[175],"7.2%":[177],"increase":[178],"2.4%":[183],"enhancement":[184],"4.78%":[190],"reduction":[191],"Flow":[195],"field":[196],"analyses":[197],"indicated":[198],"reduced":[199],"recirculation":[200],"improved":[202,241],"suction":[203],"performance,":[204],"as":[205,207],"well":[206],"decreased":[208],"accumulation":[210],"near":[211],"outlet.":[215],"results":[217],"indicate":[218],"that":[219],"use":[222],"machine":[224],"learning":[225],"evolutionary":[227],"has":[229],"potential":[231],"enable":[233],"pumps":[239],"hemolytic":[244],"performance.":[245]},"counts_by_year":[],"updated_date":"2026-09-25T08:18:29.962427","created_date":"2026-02-20T00:00:00"}