{"id":"https://openalex.org/W2903064180","doi":"https://doi.org/10.1080/0951192x.2018.1550681","title":"Prediction of cutting tool wear during milling process using artificial intelligence techniques","display_name":"Prediction of cutting tool wear during milling process using artificial intelligence techniques","publication_year":2018,"publication_date":"2018-11-26","ids":{"openalex":"https://openalex.org/W2903064180","doi":"https://doi.org/10.1080/0951192x.2018.1550681","mag":"2903064180"},"language":"en","primary_location":{"id":"doi:10.1080/0951192x.2018.1550681","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2018.1550681","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","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/A5037601784","display_name":"S. Shankar","orcid":"https://orcid.org/0000-0002-7153-8217"},"institutions":[{"id":"https://openalex.org/I142253595","display_name":"University B.D.T College of Engineering","ror":"https://ror.org/033dx8j94","country_code":"IN","type":"education","lineage":["https://openalex.org/I142253595"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Shankar","raw_affiliation_strings":["Department of Mechatronics Engineering, Kongu Engineering College, Erode, India"],"raw_orcid":"https://orcid.org/0000-0002-7153-8217","affiliations":[{"raw_affiliation_string":"Department of Mechatronics Engineering, Kongu Engineering College, Erode, India","institution_ids":["https://openalex.org/I142253595"]}]},{"author_position":"middle","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":false,"raw_author_name":"T. Mohanraj","raw_affiliation_strings":["Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":null,"display_name":"R. Rajasekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Rajasekar","raw_affiliation_strings":["Department of Mechanical Engineering, Kongu Engineering College, Erode, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Kongu Engineering College, Erode, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037601784"],"corresponding_institution_ids":["https://openalex.org/I142253595"],"apc_list":null,"apc_paid":null,"fwci":6.6636,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.97592358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"32","issue":"2","first_page":"174","last_page":"182"},"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":0.9991999864578247,"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":0.989799976348877,"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/machining","display_name":"Machining","score":0.7281194925308228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6845366954803467},{"id":"https://openalex.org/keywords/tool-wear","display_name":"Tool wear","score":0.6793285012245178},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5652045011520386},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.557664155960083},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48287704586982727},{"id":"https://openalex.org/keywords/dynamometer","display_name":"Dynamometer","score":0.4740711748600006},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.46236732602119446},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.4265343248844147},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.4236676096916199},{"id":"https://openalex.org/keywords/usb","display_name":"USB","score":0.42097753286361694},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4194793403148651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40879201889038086},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.39107364416122437},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33920273184776306},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33294570446014404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3015819489955902},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.29950380325317383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14554807543754578}],"concepts":[{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.7281194925308228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6845366954803467},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.6793285012245178},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5652045011520386},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.557664155960083},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48287704586982727},{"id":"https://openalex.org/C102284421","wikidata":"https://www.wikidata.org/wiki/Q11223329","display_name":"Dynamometer","level":2,"score":0.4740711748600006},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.46236732602119446},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.4265343248844147},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.4236676096916199},{"id":"https://openalex.org/C507366226","wikidata":"https://www.wikidata.org/wiki/Q42378","display_name":"USB","level":3,"score":0.42097753286361694},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4194793403148651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40879201889038086},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.39107364416122437},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33920273184776306},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33294570446014404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3015819489955902},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.29950380325317383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14554807543754578},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/0951192x.2018.1550681","is_oa":false,"landing_page_url":"https://doi.org/10.1080/0951192x.2018.1550681","pdf_url":null,"source":{"id":"https://openalex.org/S57062392","display_name":"International Journal of Computer Integrated Manufacturing","issn_l":"0951-192X","issn":["0951-192X","1362-3052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Integrated Manufacturing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5472876968","display_name":null,"funder_award_id":"43-443/2014","funder_id":"https://openalex.org/F4320321019","funder_display_name":"University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321019","display_name":"University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W944377494","https://openalex.org/W1592046986","https://openalex.org/W1848211986","https://openalex.org/W1874185022","https://openalex.org/W1977315966","https://openalex.org/W1977807240","https://openalex.org/W1984345183","https://openalex.org/W1985941188","https://openalex.org/W1997402297","https://openalex.org/W1999238354","https://openalex.org/W2003947476","https://openalex.org/W2009181705","https://openalex.org/W2013497991","https://openalex.org/W2022138823","https://openalex.org/W2023457407","https://openalex.org/W2025867049","https://openalex.org/W2026631097","https://openalex.org/W2027595890","https://openalex.org/W2056049312","https://openalex.org/W2056625397","https://openalex.org/W2057316115","https://openalex.org/W2063293247","https://openalex.org/W2064828429","https://openalex.org/W2065008425","https://openalex.org/W2070708160","https://openalex.org/W2092150674","https://openalex.org/W2092431015","https://openalex.org/W2093139468","https://openalex.org/W2105135069","https://openalex.org/W2117720586","https://openalex.org/W2119956477","https://openalex.org/W2142972827","https://openalex.org/W2147579659","https://openalex.org/W2289713587","https://openalex.org/W2345113388","https://openalex.org/W2542763271","https://openalex.org/W2568474785","https://openalex.org/W2568662015","https://openalex.org/W2768108646","https://openalex.org/W2773901451","https://openalex.org/W2788144697","https://openalex.org/W2793471602","https://openalex.org/W2973189616","https://openalex.org/W4205530313"],"related_works":["https://openalex.org/W1496221577","https://openalex.org/W100559523","https://openalex.org/W2060045510","https://openalex.org/W2378403516","https://openalex.org/W2370984709","https://openalex.org/W2367897800","https://openalex.org/W2050017122","https://openalex.org/W4366272147","https://openalex.org/W4384787137","https://openalex.org/W4313303765"],"abstract_inverted_index":{"An":[0],"efficient":[1],"tool":[2,44,64,82,95,144,158],"condition":[3,96],"monitoring":[4],"system":[5],"was":[6,97,139],"designed":[7],"for":[8,60,77,163,172],"keyway":[9],"milling":[10,26,30,43],"of":[11,134,152,195,201],"7075-T6":[12],"hybrid":[13],"aluminium":[14],"alloy":[15],"composite":[16],"with":[17,46],"resultant":[18,57],"machining":[19,35,165],"force":[20,36,59],"and":[21,34,42,52,62,70,80,90,137,178,184],"sound":[22,32,75],"acquired":[23,107,110],"while":[24],"the":[25,29,100,106,119,132,143,147,150,157,164,192,199,202],"process.":[27,166],"During":[28],"process,":[31],"pressure":[33,76],"were":[37,112,181],"measured":[38],"using":[39,54],"a":[40,173],"microphone":[41],"dynamometer":[45],"NI":[47],"USB":[48],"6221":[49],"DAQ":[50],"card":[51],"monitored":[53],"LabVIEW.":[55],"The":[56,74,94,109,122,167,188],"cutting":[58],"fresh":[61],"dull":[63,81],"varies":[65,83,125],"up":[66,84],"to":[67,85,118,128,130,141,160],"1":[68],"kN":[69,72],"1.8":[71],"respectively.":[73,93,187],"fresh,":[78],"working":[79],"1.9":[86],"Pa,":[87],"2":[88],"Pa":[89,92],"2.5":[91],"estimated":[98],"from":[99,126],"Artificial":[101],"Intelligence":[102],"techniques":[103],"based":[104],"on":[105],"signals.":[108],"signals":[111],"given":[113],"as":[114],"an":[115],"input":[116],"signal":[117],"expert":[120],"system.":[121],"predictor":[123],"output":[124,148],"0":[127],"3":[129],"indicate":[131],"progression":[133],"flank":[135],"wear":[136],"it":[138,154],"utilised":[140],"evaluate":[142],"condition.":[145],"When":[146],"exceeds":[149],"value":[151],"3,":[153],"indicates":[155],"that":[156],"has":[159],"be":[161],"replaced":[162],"Mean":[168],"Squared":[169],"Error":[170],"(MSE)":[171],"feedforward":[174],"backpropagation":[175],"neural":[176,189],"network":[177,190],"ANFIS":[179],"model":[180],"2.06517e-9":[182],"mm":[183,186],"0.487505e-3":[185],"had":[191],"regression":[193],"coefficient":[194],"0.99":[196],"which":[197],"shows":[198],"accuracy":[200],"model.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":21},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}