{"id":"https://openalex.org/W4200354266","doi":"https://doi.org/10.1142/s1793962322500349","title":"Application of AI techniques for modeling the performance measures in milling of 7075-T6 hybrid aluminum metal matrix composites","display_name":"Application of AI techniques for modeling the performance measures in milling of 7075-T6 hybrid aluminum metal matrix composites","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4200354266","doi":"https://doi.org/10.1142/s1793962322500349"},"language":"en","primary_location":{"id":"doi:10.1142/s1793962322500349","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962322500349","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","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/A5087341538","display_name":"T. Mohanraj","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"T. Mohanraj","raw_affiliation_strings":["Department of Mechanical Engineering College, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering College, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087341538"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2218,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.50348715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","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/T10188","display_name":"Advanced machining processes and optimization","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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11301","display_name":"Advanced Surface Polishing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/artificial-neural-network","display_name":"Artificial neural network","score":0.7263094186782837},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.7088428139686584},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.6194967031478882},{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"Response surface methodology","score":0.4977252781391144},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4944591522216797},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.42521733045578003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3962075710296631},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.39165177941322327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3686573803424835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34691697359085083},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.22147434949874878},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1673617660999298}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7263094186782837},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.7088428139686584},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.6194967031478882},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.4977252781391144},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4944591522216797},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.42521733045578003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3962075710296631},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39165177941322327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3686573803424835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34691697359085083},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.22147434949874878},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1673617660999298}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793962322500349","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793962322500349","pdf_url":null,"source":{"id":"https://openalex.org/S107361000","display_name":"Advances in Complex Systems","issn_l":"0219-5259","issn":["0219-5259","1793-6802","1793-9615","1793-9623"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Modeling, Simulation, and Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W295609817","https://openalex.org/W1536559965","https://openalex.org/W1592046986","https://openalex.org/W1965902429","https://openalex.org/W1966721555","https://openalex.org/W1967640926","https://openalex.org/W1972996214","https://openalex.org/W1978618432","https://openalex.org/W1978821169","https://openalex.org/W1983358241","https://openalex.org/W1995429244","https://openalex.org/W2001312808","https://openalex.org/W2012863373","https://openalex.org/W2024940686","https://openalex.org/W2029255142","https://openalex.org/W2033613435","https://openalex.org/W2037233991","https://openalex.org/W2072436656","https://openalex.org/W2094089198","https://openalex.org/W2098100436","https://openalex.org/W2104326779","https://openalex.org/W2117720586","https://openalex.org/W2124097534","https://openalex.org/W2136459762","https://openalex.org/W2138292590","https://openalex.org/W2148303695","https://openalex.org/W2162807413","https://openalex.org/W2335077521","https://openalex.org/W2345113388","https://openalex.org/W2799972315","https://openalex.org/W2903064180","https://openalex.org/W2938206535","https://openalex.org/W2947169773","https://openalex.org/W2962202409","https://openalex.org/W3000461428","https://openalex.org/W3034796242","https://openalex.org/W3048227343","https://openalex.org/W3094917921","https://openalex.org/W3097123575","https://openalex.org/W3108873325","https://openalex.org/W3130033091","https://openalex.org/W4231566834","https://openalex.org/W4231858175"],"related_works":["https://openalex.org/W2114654021","https://openalex.org/W2263529430","https://openalex.org/W2389800468","https://openalex.org/W4390103748","https://openalex.org/W2763641192","https://openalex.org/W2150377753","https://openalex.org/W2392430664","https://openalex.org/W3162202563","https://openalex.org/W2377425550","https://openalex.org/W2301427575"],"abstract_inverted_index":{"The":[0,48,66,81,106,136],"prediction":[1,137],"of":[2,22,64,74,108,139,162],"performance":[3,29],"measures":[4,30],"is":[5],"an":[6,160],"essential":[7],"one":[8],"for":[9,164,168,175],"manufacturers":[10],"to":[11,26,86,127,151],"increase":[12],"the":[13,20,28,41,45,58,88,119,133,140,156],"service":[14],"life.":[15],"This":[16],"paper":[17],"deals":[18],"with":[19,118,132],"application":[21],"Artificial":[23,143],"Intelligence":[24],"(AI)":[25],"predict":[27],"like":[31],"surface":[32,165],"roughness,":[33,166],"material":[34,169],"removal":[35,170],"rate,":[36,70],"and":[37,71,99,113,122,142,155,173],"flank":[38,176],"wear":[39],"during":[40],"milling":[42,49],"process":[43,79],"from":[44],"experimental":[46,82,120],"data.":[47,135],"experiments":[50],"were":[51,76,84,125],"conducted":[52],"in":[53,129],"wet":[54],"conditions":[55],"based":[56],"on":[57],"Response":[59],"Surface":[60],"Methodology":[61],"(RSM)":[62],"design":[63],"experiments.":[65],"spindle":[67],"speed,":[68],"feed":[69],"axial":[72],"depth":[73],"cut":[75],"considered":[77],"as":[78],"parameters.":[80],"data":[83],"used":[85],"develop":[87],"regression":[89],"model,":[90],"Mamdani":[91],"fuzzy":[92],"inference":[93],"system,":[94],"Backpropagation":[95],"Neural":[96,144],"Network":[97,145],"(BPNN),":[98],"Adaptive":[100],"Neuro-Fuzzy":[101],"Inference":[102],"System":[103],"(ANFIS)":[104],"model.":[105],"output":[107],"regression,":[109],"fuzzy,":[110],"neural":[111],"network,":[112],"ANFIS":[114],"model":[115,147,158],"was":[116,148],"compared":[117],"data,":[121],"predicted":[123],"results":[124],"found":[126],"be":[128],"good":[130],"conformity":[131],"measured":[134,153],"capability":[138],"quadratic":[141,157],"(ANN)":[146],"very":[149],"close":[150],"experimentally":[152],"values":[154],"had":[159],"accuracy":[161],"97.89%":[163],"98.38%":[167],"rate":[171],"(MRR),":[172],"95.72%":[174],"wear.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}